| Year |
Citation |
Score |
| 2025 |
McCary KP, Niu S, Dodero AJ, Kim Y, Yim H, Gagan S, Baumann K, Onasch TB, Betha R, Ying Q, Zhang Y. Quantifying ambient concentration and emission profile of D5-siloxane of a residential neighborhood in the Greater Houston area. Environmental Science. Processes & Impacts. PMID 40289910 DOI: 10.1039/d4em00804a |
0.388 |
|
| 2024 |
Xu Z, Fu Y, Ying Q, Hopke PK, Shu X, Yang X, Qiao X, Tang Y. Atmospheric deposition of pollutants at three altitudes on Mount Emei, Sichuan Basin, southwestern China. The Science of the Total Environment. 957: 177806. PMID 39631342 DOI: 10.1016/j.scitotenv.2024.177806 |
0.431 |
|
| 2024 |
Lynch KM, Bennett EE, Ying Q, Park ES, Xu X, Smith RL, Stewart JD, Liao D, Kaufman JD, Whitsel EA, Power MC. Association of Gaseous Ambient Air Pollution and Dementia-Related Neuroimaging Markers in the ARIC Cohort, Comparing Exposure Estimation Methods and Confounding by Study Site. Environmental Health Perspectives. 132: 67010. PMID 38922331 DOI: 10.1289/EHP13906 |
0.342 |
|
| 2024 |
Gong K, Xie X, Ying Q, Hu J. Seasonal quantification of the inter-city transport of PM in the Yangtze River Delta region of China based on a source-oriented chemical transport model and the Michaelis-Menten equation. The Science of the Total Environment. 945: 173856. PMID 38871315 DOI: 10.1016/j.scitotenv.2024.173856 |
0.534 |
|
| 2024 |
Huang Q, Lu H, Li J, Ying Q, Gao Y, Wang H, Guo S, Lu K, Qin M, Hu J. Modeling the molecular composition of secondary organic aerosol under highly polluted conditions: A case study in the Yangtze River Delta Region in China. The Science of the Total Environment. 173327. PMID 38761930 DOI: 10.1016/j.scitotenv.2024.173327 |
0.707 |
|
| 2024 |
Yin J, Xie X, Wei X, Zhang H, Ying Q, Hu J. Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta. The Science of the Total Environment. 171353. PMID 38432390 DOI: 10.1016/j.scitotenv.2024.171353 |
0.649 |
|
| 2024 |
Niu S, Liu R, Zhao Q, Gagan S, Dodero A, Ying Q, Ma X, Cheng Z, China S, Canagaratna M, Zhang Y. Quantifying the Chemical Composition and Real-Time Mass Loading of Nanoplastic Particles in the Atmosphere Using Aerosol Mass Spectrometry. Environmental Science & Technology. PMID 38332486 DOI: 10.1021/acs.est.3c10286 |
0.327 |
|
| 2024 |
Wu L, Wang P, Zhang Q, Ren H, Shi Z, Hu W, Chen J, Xie Q, Li L, Yue S, Wei L, Song L, Zhang Y, Wang Z, Chen S, ... ... Ying Q, et al. Dominant contribution of combustion-related ammonium during haze pollution in Beijing. Science Bulletin. PMID 38242834 DOI: 10.1016/j.scib.2024.01.002 |
0.732 |
|
| 2024 |
Power MC, Bennett EE, Lynch KM, Stewart JD, Xu X, Park ES, Smith RL, Vizuete W, Margolis HG, Casanova R, Wallace R, Sheppard L, Ying Q, Serre ML, Szpiro AA, et al. Comparison of Air Pollution Exposures and Health Effects Associations Using 11 Different Modeling Approaches in the Women's Health Initiative Memory Study (WHIMS). Environmental Health Perspectives. 132: 17003. PMID 38226465 DOI: 10.1289/EHP12995 |
0.311 |
|
| 2023 |
Zhang T, Liu J, Xiang Y, Liu X, Zhang J, Zhang L, Ying Q, Wang Y, Wang Y, Chen S, Chai F, Zheng M. Quantifying anthropogenic emission of iron in marine aerosol in the Northwest Pacific with shipborne online measurements. The Science of the Total Environment. 169158. PMID 38092217 DOI: 10.1016/j.scitotenv.2023.169158 |
0.331 |
|
| 2023 |
Su F, Xu Q, Yin S, Wang K, Liu G, Wang P, Kang M, Zhang R, Ying Q. Contributions of local emissions and regional background to summertime ozone in central China. Journal of Environmental Management. 338: 117778. PMID 37019021 DOI: 10.1016/j.jenvman.2023.117778 |
0.475 |
|
| 2022 |
Li J, Xie X, Li L, Wang X, Wang H, Jing S, Ying Q, Qin M, Hu J. Fate of Oxygenated Volatile Organic Compounds in the Yangtze River Delta Region: Source Contributions and Impacts on the Atmospheric Oxidation Capacity. Environmental Science & Technology. PMID 35925776 DOI: 10.1021/acs.est.2c00038 |
0.697 |
|
| 2022 |
Han F, Kota SH, Sharma S, Zhang J, Ying Q, Zhang H. Modeling polycyclic aromatic hydrocarbons in India: Seasonal variations, sources and associated health risks. Environmental Research. 212: 113466. PMID 35618010 DOI: 10.1016/j.envres.2022.113466 |
0.78 |
|
| 2022 |
Shen J, Zhao Q, Ying Q, Cheng Z, Xu J, Zhang H, Fu Q. An explainable integrated optimization methodology for source apportionment of ambient particulate matter components. Journal of Environmental Management. 310: 114789. PMID 35220094 DOI: 10.1016/j.jenvman.2022.114789 |
0.498 |
|
| 2022 |
Zhang J, He X, Ding X, Yu JZ, Ying Q. Modeling Secondary Organic Aerosol Tracers and Tracer-to-SOA Ratios for Monoterpenes and Sesquiterpenes Using a Chemical Transport Model. Environmental Science & Technology. PMID 34979081 DOI: 10.1021/acs.est.1c06373 |
0.418 |
|
| 2021 |
Kang M, Zhang J, Zhang H, Ying Q. On the Relevancy of Observed Ozone Increase during COVID-19 Lockdown to Summertime Ozone and PM Control Policies in China. Environmental Science & Technology Letters. 8: 289-294. PMID 37566348 DOI: 10.1021/acs.estlett.1c00036 |
0.593 |
|
| 2021 |
Kang M, Hu J, Zhang H, Ying Q. Evaluation of a highly condensed SAPRC chemical mechanism and two emission inventories for ozone source apportionment and emission control strategy assessments in China. The Science of the Total Environment. 151922. PMID 34826486 DOI: 10.1016/j.scitotenv.2021.151922 |
0.678 |
|
| 2021 |
Zhang J, He X, Gao Y, Zhu S, Jing S, Wang H, Yu JZ, Ying Q. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer-A Chemical Transport Model Assessment. Environmental Science & Technology. PMID 34523345 DOI: 10.1021/acs.est.1c03670 |
0.422 |
|
| 2021 |
Li J, Zhang N, Wang P, Choi M, Ying Q, Guo S, Lu K, Qiu X, Wang S, Hu M, Zhang Y, Hu J. Impacts of chlorine chemistry and anthropogenic emissions on secondary pollutants in the Yangtze river delta region. Environmental Pollution (Barking, Essex : 1987). 287: 117624. PMID 34192645 DOI: 10.1016/j.envpol.2021.117624 |
0.848 |
|
| 2021 |
Gong K, Li L, Li J, Qin M, Wang X, Ying Q, Liao H, Guo S, Hu M, Zhang Y, Hu J. Quantifying the impacts of inter-city transport on air quality in the Yangtze River Delta urban agglomeration, China: Implications for regional cooperative controls of PM and O. The Science of the Total Environment. 779: 146619. PMID 34030281 DOI: 10.1016/j.scitotenv.2021.146619 |
0.711 |
|
| 2021 |
Ying Q, Zhang J, Zhang H, Hu J, Kleeman MJ. Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in a Polluted Atmosphere. Environmental Science & Technology. PMID 33851834 DOI: 10.1021/acs.est.0c07334 |
0.77 |
|
| 2021 |
Qiao X, Liu L, Yang C, Yuan Y, Zhang M, Guo H, Tang Y, Ying Q, Zhu S, Zhang H. Responses of fine particulate matter and ozone to local emission reductions in the Sichuan Basin, southwestern China. Environmental Pollution (Barking, Essex : 1987). 277: 116793. PMID 33640820 DOI: 10.1016/j.envpol.2021.116793 |
0.638 |
|
| 2021 |
Qiao X, Yuan Y, Tang Y, Ying Q, Guo H, Zhang Y, Zhang H. Revealing the origin of fine particulate matter in the Sichuan Basin from a source-oriented modeling perspective Atmospheric Environment. 244: 117896. DOI: 10.1016/J.Atmosenv.2020.117896 |
0.71 |
|
| 2020 |
Dong Z, Jiang N, Zhang R, Xu Q, Ying Q, Li Q, Li S. Molecular characteristics, source contributions, and exposure risks of polycyclic aromatic hydrocarbons in the core city of Central Plains Economic Region, China: Insights from the variation of haze levels. The Science of the Total Environment. 757: 143885. PMID 33310581 DOI: 10.1016/j.scitotenv.2020.143885 |
0.457 |
|
| 2020 |
Lv Z, Wang X, Deng F, Ying Q, Archibald AT, Jones RL, Ding Y, Cheng Y, Fu M, Liu Y, Man H, Xue Z, He K, Hao J, Liu H. Source-Receptor Relationship Revealed by the Halted Traffic and Aggravated Haze in Beijing during the COVID-19 Lockdown. Environmental Science & Technology. PMID 33225703 DOI: 10.1021/acs.est.0c04941 |
0.447 |
|
| 2020 |
Choi MS, Qiu X, Zhang J, Wang S, Li X, Sun Y, Chen J, Ying Q. Study of Secondary Organic Aerosol Formation from Chlorine Radical-Initiated Oxidation of Volatile Organic Compounds in a Polluted Atmosphere Using a 3D Chemical Transport Model. Environmental Science & Technology. PMID 33074656 DOI: 10.1021/acs.est.0c02958 |
0.45 |
|
| 2020 |
Xu Y, Chen Y, Gao J, Zhu S, Ying Q, Hu J, Wang P, Feng L, Kang H, Wang D. Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China. Chemosphere. 254: 126815. PMID 32957269 DOI: 10.1016/J.Chemosphere.2020.126815 |
0.646 |
|
| 2020 |
Qiu X, Wang S, Ying Q, Duan L, Xing J, Cao J, Wu D, Li X, Xing C, Yan X, Liu C, Hao J. Importance of wintertime anthropogenic glyoxal and methylglyoxal emissions in Beijing and implications for the secondary organic aerosol formation in megacity. Environmental Science & Technology. PMID 32880436 DOI: 10.1021/Acs.Est.0C02822 |
0.557 |
|
| 2020 |
Shen J, Zhao Q, Cheng Z, Wang P, Ying Q, Liu J, Duan Y, Fu Q. Insights into source origins and formation mechanisms of nitrate during winter haze episodes in the Yangtze River Delta. The Science of the Total Environment. 741: 140187. PMID 32599398 DOI: 10.1016/J.Scitotenv.2020.140187 |
0.629 |
|
| 2020 |
Cao Y, Qiao X, Hopke PK, Ying Q, Zhang Y, Zeng Y, Yuan Y, Tang Y. Ozone pollution in the west China rain zone and its adjacent regions, Southwestern China: Concentrations, ecological risk, and Sources. Chemosphere. 256: 127008. PMID 32438126 DOI: 10.1016/J.Chemosphere.2020.127008 |
0.429 |
|
| 2020 |
Sahu SK, Sharma S, Zhang H, Chejarla V, Guo H, Hu J, Ying Q, Xing J, Kota SH. Estimating ground level PM concentrations and associated health risk in India using satellite based AOD and WRF predicted meteorological parameters. Chemosphere. 255: 126969. PMID 32388265 DOI: 10.1016/J.Chemosphere.2020.126969 |
0.828 |
|
| 2020 |
Park ES, Sullivan DW, Kang DH, Ying Q, Spiegelman CH. Assessment of mobile source contributions in El Paso by PMF receptor modeling coupled with wind direction analysis. The Science of the Total Environment. 720: 137527. PMID 32325575 DOI: 10.1016/J.Scitotenv.2020.137527 |
0.568 |
|
| 2020 |
Gao Y, Zhang Z, Yao W, Ying Q, Long C, Fu X. Forecasting the Cumulative Number of COVID-19 Deaths in China: a Boltzmann Function-based Modeling Study. Infection Control and Hospital Epidemiology. 1-16. PMID 32238216 DOI: 10.1017/Ice.2020.101 |
0.337 |
|
| 2020 |
Zhang Y, Cao Y, Tang Y, Ying Q, Hopke PK, Zeng Y, Xu X, Xia Z, Qiao X. Wet deposition of sulfur and nitrogen at Mt. Emei in the West China Rain Zone, southwestern China: Status, inter-annual changes, and sources. The Science of the Total Environment. 713: 136676. PMID 32019032 DOI: 10.1016/J.Scitotenv.2020.136676 |
0.491 |
|
| 2020 |
Shi Z, Huang L, Li J, Ying Q, Zhang H, Hu J. Sensitivity Analysis of the Surface Ozone and Fine Particulate Matter to Meteorological Parameters in China Atmospheric Chemistry and Physics. 1-29. DOI: 10.5194/Acp-2020-173 |
0.72 |
|
| 2020 |
Li J, Zhang H, Ying Q, Wu Z, Zhang Y, Wang X, Li X, Sun Y, Hu M, Zhang Y, Hu J. Impacts of water partitioning and polarity of organic compounds on secondary organic aerosol over eastern China Atmospheric Chemistry and Physics. 20: 7291-7306. DOI: 10.5194/Acp-20-7291-2020 |
0.691 |
|
| 2020 |
Gao M, Gao J, Zhu B, Kumar R, Lu X, Song S, Zhang Y, Jia B, Wang P, Beig G, Hu J, Ying Q, Zhang H, Sherman P, McElroy MB. Ozone pollution over China and India: seasonality and sources Atmospheric Chemistry and Physics. 20: 4399-4414. DOI: 10.5194/Acp-20-4399-2020 |
0.73 |
|
| 2020 |
Bai L, Huang L, Wang Z, Ying Q, Zheng J, Shi X, Hu J. Long-term field Evaluation of Low-cost Particulate Matter Sensors in Nanjing Aerosol and Air Quality Research. 20: 242-253. DOI: 10.4209/Aaqr.2018.11.0424 |
0.503 |
|
| 2020 |
Xu Y, Chen Y, Gao J, Zhu S, Ying Q, Hu J, Wang P, Feng L, Kang H, Wang D. Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China Chemosphere. 254: 126815. DOI: 10.1016/j.chemosphere.2020.126815 |
0.356 |
|
| 2020 |
Wang P, Wang T, Ying Q. Regional source apportionment of summertime ozone and its precursors in the megacities of Beijing and Shanghai using a source-oriented chemical transport model Atmospheric Environment. 224: 117337. DOI: 10.1016/J.Atmosenv.2020.117337 |
0.487 |
|
| 2019 |
Liu J, Shen J, Cheng Z, Wang P, Ying Q, Zhao Q, Zhang Y, Zhao Y, Fu Q. Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China. The Science of the Total Environment. 135620. PMID 31785922 DOI: 10.1016/J.Scitotenv.2019.135620 |
0.656 |
|
| 2019 |
Javed W, Iakovides M, Garaga R, Stephanou EG, Kota SH, Ying Q, Wolfson JM, Koutrakis P, Guo B. Source apportionment of organic pollutants in fine and coarse atmospheric particles in Doha, Qatar. Journal of the Air & Waste Management Association (1995). 1-16. PMID 31535951 DOI: 10.1080/10962247.2019.1640803 |
0.846 |
|
| 2019 |
Han F, Guo H, Hu J, Zhang J, Ying Q, Zhang H. Sources and health risks of ambient polycyclic aromatic hydrocarbons in China. The Science of the Total Environment. 698: 134229. PMID 31505341 DOI: 10.1016/J.Scitotenv.2019.134229 |
0.74 |
|
| 2019 |
Qiu X, Ying Q, Wang S, Duan L, Wang Y, Lu K, Wang P, Xing J, Zheng M, Zhao M, Zheng H, Zhang Y, Hao J. Significant impact of heterogeneous reactions of reactive chlorine species on summertime atmospheric ozone and free-radical formation in north China. The Science of the Total Environment. 693: 133580. PMID 31376754 DOI: 10.1016/J.Scitotenv.2019.133580 |
0.498 |
|
| 2019 |
Qiao X, Wang P, Zhang J, Zhang H, Tang Y, Hu J, Ying Q. Spatial-temporal variations and source contributions to forest ozone exposure in China. The Science of the Total Environment. 674: 189-199. PMID 31004895 DOI: 10.1016/J.Scitotenv.2019.04.106 |
0.678 |
|
| 2019 |
Li X, Yang K, Han J, Ying Q, Hopke PK. Sources of humic-like substances (HULIS) in PM in Beijing: Receptor modeling approach. The Science of the Total Environment. 671: 765-775. PMID 30939329 DOI: 10.1016/J.Scitotenv.2019.03.333 |
0.609 |
|
| 2019 |
Wang P, Guo H, Hu J, Kota SH, Ying Q, Zhang H. Responses of PM and O concentrations to changes of meteorology and emissions in China. The Science of the Total Environment. 662: 297-306. PMID 30690364 DOI: 10.1016/J.Scitotenv.2019.01.227 |
0.848 |
|
| 2019 |
Sun J, Liang M, Shi Z, Shen F, Li J, Huang L, Ge X, Chen Q, Sun Y, Zhang Y, Chang Y, Ji D, Ying Q, Zhang H, Kota SH, et al. Investigating the PM mass concentration growth processes during 2013-2016 in Beijing and Shanghai. Chemosphere. 221: 452-463. PMID 30654259 DOI: 10.1016/J.Chemosphere.2018.12.200 |
0.812 |
|
| 2019 |
Kang M, Guo H, Wang P, Fu P, Ying Q, Liu H, Zhao Y, Zhang H. Characterization and source apportionment of marine aerosols over the East China Sea. The Science of the Total Environment. 651: 2679-2688. PMID 30463123 DOI: 10.1016/J.Scitotenv.2018.10.174 |
0.711 |
|
| 2019 |
Qiu X, Ying Q, Wang S, Duan L, Zhao J, Xing J, Ding D, Sun Y, Liu B, Shi A, Yan X, Xu Q, Hao J. Modeling the impact of heterogeneous reactions of chlorine on summertime nitrate formation in Beijing, China Atmospheric Chemistry and Physics. 19: 6737-6747. DOI: 10.5194/Acp-19-6737-2019 |
0.398 |
|
| 2019 |
Qiao X, Guo H, Tang Y, Wang P, Deng W, Zhao X, Hu J, Ying Q, Zhang H. Local and regional contributions to fine particulate matter in the 18 cities of Sichuan Basin, southwestern China Atmospheric Chemistry and Physics. 19: 5791-5803. DOI: 10.5194/Acp-19-5791-2019 |
0.754 |
|
| 2019 |
Li X, Han J, Hopke PK, Hu J, Shu Q, Chang Q, Ying Q. Quantifying primary and secondary humic-like substances in urban aerosol based on emission source characterization and a source-oriented air quality model Atmospheric Chemistry and Physics. 19: 2327-2341. DOI: 10.5194/Acp-19-2327-2019 |
0.592 |
|
| 2019 |
Qiao X, Guo H, Wang P, Tang Y, Ying Q, Zhao X, Deng W, Zhang H. Fine Particulate Matter and Ozone Pollution in the 18 Cities of the Sichuan Basin in Southwestern China: Model Performance and Characteristics Aerosol and Air Quality Research. 19: 2308-2319. DOI: 10.4209/Aaqr.2019.05.0235 |
0.679 |
|
| 2019 |
Hu J, Ostro B, Zhang H, Ying Q, Kleeman MJ. Using Chemical Transport Model Predictions To Improve Exposure Assessment of PM2.5 Constituents Environmental Science & Technology Letters. 6: 456-461. DOI: 10.1021/Acs.Estlett.9B00396 |
0.776 |
|
| 2019 |
Wu L, Ren H, Wang P, Chen J, Fang Y, Hu W, Ren L, Deng J, Song Y, Li J, Sun Y, Wang Z, Liu C, Ying Q, Fu P. Aerosol Ammonium in the Urban Boundary Layer in Beijing: Insights from Nitrogen Isotope Ratios and Simulations in Summer 2015 Environmental Science & Technology Letters. 6: 389-395. DOI: 10.1021/Acs.Estlett.9B00328 |
0.498 |
|
| 2019 |
Li X, Huang L, Li J, Shi Z, Wang Y, Zhang H, Ying Q, Yu X, Liao H, Hu J. Source contributions to poor atmospheric visibility in China Resources Conservation and Recycling. 143: 167-177. DOI: 10.1016/J.Resconrec.2018.12.029 |
0.764 |
|
| 2019 |
Chen K, Guo H, Hu J, Kota S, Deng W, Ying Q, Myllyvirta L, Dahiya S, Zhang H. Projected air quality and health benefits from future policy interventions in India Resources Conservation and Recycling. 142: 232-244. DOI: 10.1016/J.Resconrec.2018.12.008 |
0.823 |
|
| 2019 |
Wang P, Chen Y, Hu J, Zhang H, Ying Q. Source apportionment of summertime ozone in China using a source-oriented chemical transport model Atmospheric Environment. 211: 79-90. DOI: 10.1016/J.Atmosenv.2019.05.006 |
0.673 |
|
| 2019 |
Sun S, Zhao G, Wang T, Jin J, Wang P, Lin Y, Li H, Ying Q, Mao H. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030 Atmospheric Environment. 209: 182-191. DOI: 10.1016/J.Atmosenv.2019.04.016 |
0.553 |
|
| 2019 |
Guo H, Chen K, Wang P, Hu J, Ying Q, Gao A, Zhang H. Simulation of summer ozone and its sensitivity to emission changes in China Atmospheric Pollution Research. 10: 1543-1552. DOI: 10.1016/J.Apr.2019.05.003 |
0.679 |
|
| 2019 |
Liu X, Nie D, Zhang K, Wang Z, Li X, Shi Z, Wang Y, Huang L, Chen M, Ge X, Ying Q, Yu X, Liu X, Hu J. Evaluation of particulate matter deposition in the human respiratory tract during winter in Nanjing using size and chemically resolved ambient measurements Air Quality, Atmosphere & Health. 12: 529-538. DOI: 10.1007/S11869-019-00663-2 |
0.579 |
|
| 2019 |
Sahu SK, Zhang H, Guo H, Hu J, Ying Q, Kota SH. Health risk associated with potential source regions of PM 2.5 in Indian cities Air Quality, Atmosphere & Health. 12: 327-340. DOI: 10.1007/S11869-019-00661-4 |
0.812 |
|
| 2018 |
Wang P, Chen Y, Hu J, Zhang H, Ying Q. Attribution of Tropospheric Ozone to NO and VOC Emissions: Considering Ozone Formation in the Transition Regime. Environmental Science & Technology. PMID 30582806 DOI: 10.1021/Acs.Est.8B05981 |
0.65 |
|
| 2018 |
Zhang H, Guo H, Hu J, Ying Q, Kleeman MJ. Modeling atmospheric age distribution of elemental carbon using a regional age-resolved particle representation framework. Environmental Science & Technology. PMID 30485076 DOI: 10.1021/Acs.Est.8B05895 |
0.725 |
|
| 2018 |
Gao M, Beig G, Song S, Zhang H, Hu J, Ying Q, Liang F, Liu Y, Wang H, Lu X, Zhu T, Carmichael GR, Nielsen CP, McElroy MB. The impact of power generation emissions on ambient PM pollution and human health in China and India. Environment International. 121: 250-259. PMID 30223201 DOI: 10.1016/J.Envint.2018.09.015 |
0.716 |
|
| 2018 |
Zhu Y, Huang L, Li J, Ying Q, Zhang H, Liu X, Liao H, Li N, Liu Z, Mao Y, Fang H, Hu J. Sources of particulate matter in China: Insights from source apportionment studies published in 1987-2017. Environment International. 115: 343-357. PMID 29653391 DOI: 10.1016/J.Envint.2018.03.037 |
0.787 |
|
| 2018 |
Lv Z, Liu H, Ying Q, Fu M, Meng Z, Wang Y, Wei W, Gong H, He K. Impacts of shipping emissions on PM<sub>2.5</sub> pollution in China Atmospheric Chemistry and Physics. 18: 15811-15824. DOI: 10.5194/Acp-18-15811-2018 |
0.575 |
|
| 2018 |
Guo H, Kota SH, Chen K, Sahu SK, Hu J, Ying Q, Wang Y, Zhang H. Source contributions and potential reductions to health effects of particulate matter in India Atmospheric Chemistry and Physics. 18: 15219-15229. DOI: 10.5194/Acp-18-15219-2018 |
0.823 |
|
| 2018 |
Kota SH, Guo H, Myllyvirta L, Hu J, Sahu SK, Garaga R, Ying Q, Gao A, Dahiya S, Wang Y, Zhang H. Year-long simulation of gaseous and particulate air pollutants in India Atmospheric Environment. 180: 244-255. DOI: 10.1016/J.Atmosenv.2018.03.003 |
0.847 |
|
| 2017 |
Ying Q, Feng M, Song D, Wu L, Hu J, Zhang H, Kleeman MJ, Li X. Improve regional distribution and source apportionment of PM2.5 trace elements in China using inventory-observation constrained emission factors. The Science of the Total Environment. 624: 355-365. PMID 29258036 DOI: 10.1016/J.Scitotenv.2017.12.138 |
0.765 |
|
| 2017 |
Wang P, Ying Q, Zhang H, Hu J, Lin Y, Mao H. Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories. Environmental Pollution (Barking, Essex : 1987). PMID 29128244 DOI: 10.1016/J.Envpol.2017.10.122 |
0.76 |
|
| 2017 |
Qiao X, Du J, Kota SH, Ying Q, Xiao W, Tang Y. Wet deposition of sulfur and nitrogen in Jiuzhaigou National Nature Reserve, Sichuan, China during 2015-2016: Possible effects from regional emission reduction and local tourist activities. Environmental Pollution (Barking, Essex : 1987). 233: 267-277. PMID 29096299 DOI: 10.1016/J.Envpol.2017.08.041 |
0.769 |
|
| 2017 |
Qiao X, Ying Q, Li X, Zhang H, Hu J, Tang Y, Chen X. Source apportionment of PM2.5 for 25 Chinese provincial capitals and municipalities using a source-oriented Community Multiscale Air Quality model. The Science of the Total Environment. 612: 462-471. PMID 28865263 DOI: 10.1016/J.Scitotenv.2017.08.272 |
0.751 |
|
| 2017 |
Guo H, Kota SH, Sahu SK, Hu J, Ying Q, Gao A, Zhang H. Source apportionment of PM2.5 in North India using source-oriented air quality models. Environmental Pollution (Barking, Essex : 1987). 231: 426-436. PMID 28830016 DOI: 10.1016/J.Envpol.2017.08.016 |
0.853 |
|
| 2017 |
Hu J, Huang L, Chen M, Liao H, Zhang H, Wang S, Zhang Q, Ying Q. Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions. Environmental Science & Technology. PMID 28787143 DOI: 10.1021/Acs.Est.7B03193 |
0.729 |
|
| 2017 |
Shi Z, Li J, Huang L, Wang P, Wu L, Ying Q, Zhang H, Lu L, Liu X, Liao H, Hu J. Source apportionment of fine particulate matter in China in 2013 using a source-oriented chemical transport model. The Science of the Total Environment. 601: 1476-1487. PMID 28605865 DOI: 10.1016/J.Scitotenv.2017.06.019 |
0.79 |
|
| 2017 |
Ha S, Männistö T, Liu D, Sherman S, Ying Q, Mendola P. Air pollution and cardiovascular events at labor and delivery: a case-crossover analysis. Annals of Epidemiology. PMID 28552468 DOI: 10.1016/J.Annepidem.2017.05.007 |
0.327 |
|
| 2017 |
Xu Y, Hu J, Ying Q, Hao H, Wang D, Zhang H. Current and future emissions of primary pollutants from coal-fired power plants in Shaanxi, China. The Science of the Total Environment. 595: 505-514. PMID 28395265 DOI: 10.1016/J.Scitotenv.2017.03.267 |
0.733 |
|
| 2017 |
Hu J, Li X, Huang L, Ying Q, Zhang Q, Zhao B, Wang S, Zhang H. Ensemble Predictions of Air Pollutants in China in 2013 for Health Effects Studies Using WRF/CMAQ Modeling System with Four Emission Inventories Atmospheric Chemistry and Physics. 1-32. DOI: 10.5194/Acp-2017-182 |
0.758 |
|
| 2017 |
Hu J, Wang P, Ying Q, Zhang H, Chen J, Ge X, Li X, Jiang J, Wang S, Zhang J, Zhao Y, Zhang Y. Modeling biogenic and anthropogenic secondary organic aerosol in China Atmospheric Chemistry and Physics. 17: 77-92. DOI: 10.5194/Acp-17-77-2017 |
0.754 |
|
| 2017 |
Wang C, Yuan T, Wood SA, Goss K, Li J, Ying Q, Wania F. Uncertain Henry's law constants compromise equilibrium partitioning calculations of atmospheric oxidation products Atmospheric Chemistry and Physics. 17: 7529-7540. DOI: 10.5194/Acp-17-7529-2017 |
0.476 |
|
| 2017 |
Hu J, Jathar S, Zhang H, Ying Q, Chen S, Cappa CD, Kleeman MJ. Long-term particulate matter modeling for health effect studies in California – Part 2: Concentrations and sources of ultrafine organic aerosols Atmospheric Chemistry and Physics. 17: 5379-5391. DOI: 10.5194/Acp-17-5379-2017 |
0.824 |
|
| 2017 |
Hu J, Li X, Huang L, Ying Q, Zhang Q, Zhao B, Wang S, Zhang H. Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China Atmospheric Chemistry and Physics. 17: 13103-13118. DOI: 10.5194/Acp-17-13103-2017 |
0.762 |
|
| 2017 |
Chen Q, Fu T, Hu J, Ying Q, Zhang L. Modelling secondary organic aerosols in China National Science Review. 4: 806-809. DOI: 10.1093/Nsr/Nwx143 |
0.567 |
|
| 2017 |
Askariyeh MH, Kota SH, Vallamsundar S, Zietsman J, Ying Q. AERMOD for near-road pollutant dispersion: Evaluation of model performance with different emission source representations and low wind options Transportation Research Part D-Transport and Environment. 57: 392-402. DOI: 10.1016/J.Trd.2017.10.008 |
0.759 |
|
| 2017 |
Wang P, Schade G, Estes M, Ying Q. Improved MEGAN predictions of biogenic isoprene in the contiguous United States Atmospheric Environment. 148: 337-351. DOI: 10.1016/J.Atmosenv.2016.11.006 |
0.583 |
|
| 2017 |
Xu Y, Ying Q, Hu J, Gao Y, Yang Y, Wang D, Zhang H. Spatial and temporal variations in criteria air pollutants in three typical terrain regions in Shaanxi, China, during 2015 Air Quality, Atmosphere & Health. 11: 95-109. DOI: 10.1007/S11869-017-0523-7 |
0.748 |
|
| 2017 |
Zu Y, Huang L, Hu J, Zhao Z, Liu H, Zhang H, Ying Q, Chen M. Investigation of relationships between meteorological conditions and high PM10 pollution in a megacity in the western Yangtze River Delta, China Air Quality, Atmosphere & Health. 10: 713-724. DOI: 10.1007/S11869-017-0472-1 |
0.74 |
|
| 2016 |
Zhang J, Li J, Wang P, Chen G, Mendola P, Sherman S, Ying Q. Estimating population exposure to ambient polycyclic aromatic hydrocarbon in the United States - Part I: Model development and evaluation. Environment International. PMID 27988136 DOI: 10.1016/J.Envint.2016.12.002 |
0.692 |
|
| 2016 |
Zhang J, Wang P, Li J, Mendola P, Sherman S, Ying Q. Estimating population exposure to ambient polycyclic aromatic hydrocarbon in the United States - Part II: Source apportionment and cancer risk assessment. Environment International. PMID 27613001 DOI: 10.1016/J.Envint.2016.08.024 |
0.629 |
|
| 2016 |
Mendola P, Wallace M, Hwang BS, Liu D, Robledo C, Mӓnnistӧ T, Sundaram R, Sherman S, Ying Q, Grantz KL. Preterm birth and air pollution: Critical windows of exposure for women with asthma. The Journal of Allergy and Clinical Immunology. PMID 26944405 DOI: 10.1016/J.Jaci.2015.12.1309 |
0.379 |
|
| 2016 |
Hu J, Chen J, Ying Q, Zhang H. One-year simulation of ozone and particulate matter in Chinausing WRF/CMAQ modeling system Atmospheric Chemistry and Physics. 16: 10333-10350. DOI: 10.5194/Acp-16-10333-2016 |
0.728 |
|
| 2015 |
Hu J, Wu L, Zheng B, Zhang Q, He K, Chang Q, Li X, Yang F, Ying Q, Zhang H. Source contributions and regional transport of primary particulate matter in China. Environmental Pollution (Barking, Essex : 1987). 207: 31-42. PMID 26340297 DOI: 10.1016/J.Envpol.2015.08.037 |
0.715 |
|
| 2015 |
Hu J, Ying Q, Wang Y, Zhang H. Characterizing multi-pollutant air pollution in China: Comparison of three air quality indices. Environment International. 84: 17-25. PMID 26197060 DOI: 10.1016/J.Envint.2015.06.014 |
0.711 |
|
| 2015 |
Männistö T, Mendola P, Grantz KL, Leishear K, Sundaram R, Sherman S, Ying Q, Liu D. Acute and recent air pollution exposure and cardiovascular events at labour and delivery. Heart (British Cardiac Society). PMID 26105036 DOI: 10.1136/Heartjnl-2014-307366 |
0.412 |
|
| 2015 |
Qiao X, Tang Y, Kota SH, Li J, Wu L, Hu J, Zhang H, Ying Q. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part II. Emission sector and source region contributions. The Science of the Total Environment. PMID 26050092 DOI: 10.1016/J.Scitotenv.2015.05.107 |
0.821 |
|
| 2015 |
Qiao X, Tang Y, Hu J, Zhang S, Li J, Kota SH, Wu L, Gao H, Zhang H, Ying Q. Modeling dry and wet deposition of sulfate, nitrate, and ammonium ions in Jiuzhaigou National Nature Reserve, China using a source-oriented CMAQ model: Part I. Base case model results. The Science of the Total Environment. PMID 26048290 DOI: 10.1016/J.Scitotenv.2015.05.108 |
0.796 |
|
| 2015 |
Ying Q, Li J, Kota SH. Significant Contributions of Isoprene to Summertime Secondary Organic Aerosol in Eastern United States. Environmental Science & Technology. 49: 7834-42. PMID 26029963 DOI: 10.1021/Acs.Est.5B02514 |
0.79 |
|
| 2015 |
Zhang R, Wang G, Guo S, Zamora ML, Ying Q, Lin Y, Wang W, Hu M, Wang Y. Formation of urban fine particulate matter. Chemical Reviews. 115: 3803-55. PMID 25942499 DOI: 10.1021/Acs.Chemrev.5B00067 |
0.567 |
|
| 2015 |
Zhang H, Wang Y, Hu J, Ying Q, Hu XM. Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environmental Research. 140: 242-54. PMID 25880606 DOI: 10.1016/J.Envres.2015.04.004 |
0.744 |
|
| 2015 |
Robledo CA, Mendola P, Yeung E, Männistö T, Sundaram R, Liu D, Ying Q, Sherman S, Grantz KL. Preconception and early pregnancy air pollution exposures and risk of gestational diabetes mellitus. Environmental Research. 137: 316-22. PMID 25601734 DOI: 10.1016/J.Envres.2014.12.020 |
0.355 |
|
| 2015 |
Qiao X, Xiao W, Jaffe D, Kota SH, Ying Q, Tang Y. Atmospheric wet deposition of sulfur and nitrogen in Jiuzhaigou National Nature Reserve, Sichuan Province, China. The Science of the Total Environment. 511: 28-36. PMID 25525712 DOI: 10.1016/J.Scitotenv.2014.12.028 |
0.723 |
|
| 2015 |
Hu J, Zhang H, Ying Q, Chen S, Vandenberghe F, Kleeman MJ. Long-term particulate matter modeling for health effect studies in California – Part 1: Model performance on temporal and spatial variations Atmospheric Chemistry and Physics. 15: 3445-3461. DOI: 10.5194/Acp-15-3445-2015 |
0.8 |
|
| 2015 |
Pankow JF, Marks MC, Barsanti KC, Mahmud A, Asher WE, Li J, Ying Q, Jathar SH, Kleeman MJ. Molecular view modeling of atmospheric organic particulate matter: Incorporating molecular structure and co-condensation of water Atmospheric Environment. 122: 400-408. DOI: 10.1016/J.Atmosenv.2015.10.001 |
0.665 |
|
| 2015 |
Kota SH, Schade G, Estes M, Boyer D, Ying Q. Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas Atmospheric Environment. 110: 54-64. DOI: 10.1016/J.Atmosenv.2015.03.027 |
0.784 |
|
| 2015 |
Li J, Cleveland M, Ziemba LD, Griffin RJ, Barsanti KC, Pankow JF, Ying Q. Modeling regional secondary organic aerosol using the Master Chemical Mechanism Atmospheric Environment. 102: 52-61. DOI: 10.1016/J.Atmosenv.2014.11.054 |
0.6 |
|
| 2015 |
Männistö T, Mendola P, Liu D, Leishear K, Ying Q, Sundaram R. Temporal variation in the acute effects of air pollution on blood pressure measured at admission to labor/delivery Air Quality, Atmosphere and Health. 8: 13-28. DOI: 10.1007/S11869-014-0268-5 |
0.348 |
|
| 2014 |
Wang Y, Ying Q, Hu J, Zhang H. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013-2014. Environment International. 73: 413-22. PMID 25244704 DOI: 10.1016/J.Envint.2014.08.016 |
0.767 |
|
| 2014 |
Zhang H, Hu J, Kleeman M, Ying Q. Source apportionment of sulfate and nitrate particulate matter in the Eastern United States and effectiveness of emission control programs. The Science of the Total Environment. 490: 171-81. PMID 24852615 DOI: 10.1016/J.Scitotenv.2014.04.064 |
0.808 |
|
| 2014 |
Chen G, Li J, Ying Q, Sherman S, Perkins N, Rajeshwari S, Mendola P. Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation. The Science of the Total Environment. 485: 563-74. PMID 24747248 DOI: 10.1016/J.Scitotenv.2014.03.107 |
0.654 |
|
| 2014 |
Hu J, Zhang H, Chen SH, Wiedinmyer C, Vandenberghe F, Ying Q, Kleeman MJ. Predicting primary PM2.5 and PM0.1 trace composition for epidemiological studies in California. Environmental Science & Technology. 48: 4971-9. PMID 24694302 DOI: 10.1021/Es404809J |
0.792 |
|
| 2014 |
Hu J, Zhang H, Chen S, Ying Q, Wiedinmyer C, Vandenberghe F, Kleeman MJ. Identifying PM2.5 and PM0.1 sources for epidemiological studies in California. Environmental Science & Technology. 48: 4980-90. PMID 24552458 DOI: 10.1021/Es404810Z |
0.809 |
|
| 2014 |
Zhang H, Chen G, Hu J, Chen SH, Wiedinmyer C, Kleeman M, Ying Q. Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States. The Science of the Total Environment. 473: 275-85. PMID 24374589 DOI: 10.1016/J.Scitotenv.2013.11.121 |
0.757 |
|
| 2014 |
Wang D, Hu J, Xu Y, Lv D, Xie X, Kleeman M, Xing J, Zhang H, Ying Q. Source contributions to primary and secondary inorganic particulate matter during a severe wintertime PM2.5 pollution episode in Xi'an, China Atmospheric Environment. 97: 182-194. DOI: 10.1016/J.Atmosenv.2014.08.020 |
0.822 |
|
| 2014 |
Hu J, Wang Y, Ying Q, Zhang H. Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China Atmospheric Environment. 95: 598-609. DOI: 10.1016/J.Atmosenv.2014.07.019 |
0.752 |
|
| 2014 |
Ying Q, Wu L, Zhang H. Local and inter-regional contributions to PM2.5 nitrate and sulfate in China Atmospheric Environment. 94: 582-592. DOI: 10.1016/J.Atmosenv.2014.05.078 |
0.642 |
|
| 2014 |
Ying Q, Cureño IV, Chen G, Ali S, Zhang H, Malloy M, Bravo HA, Sosa R. Impacts of Stabilized Criegee Intermediates, surface uptake processes and higher aromatic secondary organic aerosol yields on predicted PM2.5 concentrations in the Mexico City Metropolitan Zone Atmospheric Environment. 94: 438-447. DOI: 10.1016/J.Atmosenv.2014.05.056 |
0.705 |
|
| 2014 |
Kota SH, Zhang H, Chen G, Schade GW, Ying Q. Evaluation of on-road vehicle CO and NOx national emission inventories using an urban-scale source-oriented air quality model Atmospheric Environment. 85: 99-108. DOI: 10.1016/J.Atmosenv.2013.11.020 |
0.807 |
|
| 2014 |
Kota SH, Park C, Hale MC, Werner ND, Schade GW, Ying Q. Estimation of VOC emission factors from flux measurements using a receptor model and footprint analysis Atmospheric Environment. 82: 24-35. DOI: 10.1016/J.Atmosenv.2013.09.052 |
0.743 |
|
| 2013 |
Kota SH, Ying Q, Zhang Y. Simulating near-road reactive dispersion of gaseous air pollutants using a three-dimensional Eulerian model. The Science of the Total Environment. 454: 348-57. PMID 23562687 DOI: 10.1016/J.Scitotenv.2013.03.039 |
0.778 |
|
| 2013 |
Li J, Ying Q, Yi B, Yang P. Role of stabilized Criegee Intermediates in the formation ofatmospheric sulfate in eastern United States Atmospheric Environment. 79: 442-447. DOI: 10.1016/J.Atmosenv.2013.06.048 |
0.524 |
|
| 2013 |
Zhang H, Li J, Ying Q, Guven BB, Olaguer EP. Source apportionment of formaldehyde during TexAQS 2006 using a source-oriented chemical transport model Journal of Geophysical Research. 118: 1525-1535. DOI: 10.1002/Jgrd.50197 |
0.698 |
|
| 2012 |
Zhang H, Li J, Ying Q, Yu JZ, Wu D, Cheng Y, He K, Jiang J. Source apportionment of PM 2.5 nitrate and sulfate in China using a source-oriented chemical transport model Atmospheric Environment. 62: 228-242. DOI: 10.1016/J.Atmosenv.2012.08.014 |
0.753 |
|
| 2012 |
Zhang H, Ying Q. Secondary organic aerosol from polycyclic aromatic hydrocarbons in Southeast Texas Atmospheric Environment. 55: 279-287. DOI: 10.1016/J.Atmosenv.2012.03.043 |
0.623 |
|
| 2012 |
Li J, Zhang H, Ying Q. Comparison of the SAPRC07 and SAPRC99 photochemical mechanisms during a high ozone episode in Texas: Differences in concentrations, OH budget and relative response factors Atmospheric Environment. 54: 25-35. DOI: 10.1016/J.Atmosenv.2012.02.034 |
0.65 |
|
| 2011 |
Zhang H, Ying Q. Secondary organic aerosol formation and source apportionment in Southeast Texas Atmospheric Environment. 45: 3217-3227. DOI: 10.1016/J.Atmosenv.2011.03.046 |
0.709 |
|
| 2011 |
Ying Q, Li J. Implementation and initial application of the near-explicit Master Chemical Mechanism in the 3D Community Multiscale Air Quality (CMAQ) model Atmospheric Environment. 45: 3244-3256. DOI: 10.1016/J.Atmosenv.2011.03.043 |
0.64 |
|
| 2011 |
Zhang H, Ying Q. Contributions of local and regional sources of NOx to ozone concentrations in Southeast Texas Atmospheric Environment. 45: 2877-2887. DOI: 10.1016/J.Atmosenv.2011.02.047 |
0.627 |
|
| 2011 |
Ying Q. Physical and chemical processes of wintertime secondary nitrate aerosol formation Frontiers of Environmental Science and Engineering in China. 5: 348-361. DOI: 10.1007/S11783-011-0343-1 |
0.52 |
|
| 2010 |
Kota SH, Ying Q, Zhang Y. TAMNROM-3D: Three-dimensional eulerian model to simulate air quality near highways Transportation Research Record. 61-68. DOI: 10.3141/2158-08 |
0.733 |
|
| 2010 |
Ying Q, Krishnan A. Source contributions of volatile organic compounds to ozone formation in southeast Texas Journal of Geophysical Research Atmospheres. 115. DOI: 10.1029/2010Jd013931 |
0.524 |
|
| 2010 |
Zhang Y, Lv J, Ying Q. Traffic assignment considering air quality Transportation Research Part D: Transport and Environment. 15: 497-502. DOI: 10.1016/J.Trd.2010.04.011 |
0.502 |
|
| 2010 |
Zhang H, Ying Q. Source apportionment of airborne particulate matter in Southeast Texas using a source-oriented 3D air quality model Atmospheric Environment. 44: 3547-3557. DOI: 10.1016/J.Atmosenv.2010.06.004 |
0.684 |
|
| 2010 |
Hu J, Ying Q, Chen J, Mahmud A, Zhao Z, Chen S, Kleeman MJ. Particulate air quality model predictions using prognostic vs. diagnostic meteorology in central California Atmospheric Environment. 44: 215-226. DOI: 10.1016/J.Atmosenv.2009.10.011 |
0.802 |
|
| 2010 |
Chen J, Ying Q, Kleeman MJ. Source apportionment of wintertime secondary organic aerosol during the California regional PM10/PM2.5 air quality study Atmospheric Environment. 44: 1331-1340. DOI: 10.1016/J.Atmosenv.2009.07.010 |
0.712 |
|
| 2009 |
Chen J, Ying Q, Kleeman MJ. Source apportionment of visual impairment during the California regional PM10/PM2.5 air quality study Atmospheric Environment. 43: 6136-6144. DOI: 10.1016/J.Atmosenv.2009.09.010 |
0.698 |
|
| 2009 |
Livingstone PL, Magliano K, Gürer K, Allen PD, Zhang KM, Ying Q, Jackson BS, Kaduwela A, Kleeman M, Woodhouse LF, Turkiewicz K, Horowitz LW, Scott K, Johnson D, Taylor C, et al. Simulating PM concentration during a winter episode in a subtropical valley: Sensitivity simulations and evaluation methods Atmospheric Environment. 43: 5971-5977. DOI: 10.1016/J.Atmosenv.2009.07.033 |
0.684 |
|
| 2009 |
Ying Q, Kleeman M. Regional contributions to airborne particulate matter in central California during a severe pollution episode Atmospheric Environment. 43: 1218-1228. DOI: 10.1016/J.Atmosenv.2008.11.019 |
0.716 |
|
| 2009 |
Ying Q, Lu J, Kleeman M. Modeling air quality during the California Regional PM10/PM2.5 Air Quality Study (CPRAQS) using the UCD/CIT source-oriented air quality model - Part III. Regional source apportionment of secondary and total airborne particulate matter Atmospheric Environment. 43: 419-430. DOI: 10.1016/j.atmosenv.2008.08.033 |
0.72 |
|
| 2008 |
Ying Q, Lu J, Kaduwela A, Kleeman M. Modeling air quality during the California Regional PM10/PM2.5 Air Quality Study (CPRAQS) using the UCD/CIT Source Oriented Air Quality Model - Part II. Regional source apportionment of primary airborne particulate matter Atmospheric Environment. 42: 8967-8978. DOI: 10.1016/J.Atmosenv.2008.08.033 |
0.769 |
|
| 2008 |
Ying Q, Lu J, Allen P, Livingstone P, Kaduwela A, Kleeman M. Modeling air quality during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS) using the UCD/CIT source-oriented air quality model - Part I. Base case model results Atmospheric Environment. 42: 8954-8966. DOI: 10.1016/J.Atmosenv.2008.05.064 |
0.769 |
|
| 2007 |
Li J, Ying Q. On-line monitoring device of airborne particulate concentration based on the principle of vibration 2007 8th International Conference On Electronic Measurement and Instruments, Icemi. 4261-4264. DOI: 10.1109/ICEMI.2007.4351133 |
0.373 |
|
| 2007 |
Ying Q, Fraser MP, Griffin RJ, Chen J, Kleeman MJ. Verification of a source-oriented externally mixed air quality model during a severe photochemical smog episode Atmospheric Environment. 41: 1521-1538. DOI: 10.1016/J.Atmosenv.2006.10.004 |
0.7 |
|
| 2007 |
Kleeman MJ, Ying Q, Lu J, Mysliwiec MJ, Griffin RJ, Chen J, Clegg S. Source apportionment of secondary organic aerosol during a severe photochemical smog episode Atmospheric Environment. 41: 576-591. DOI: 10.1016/J.Atmosenv.2006.08.042 |
0.719 |
|
| 2007 |
Kleeman MJ, Ying Q. Modeling particulate matter in central California Air and Waste Management Association - Symposium On Air Quality Measurement Methods and Technology 2007. 165: 184-187. |
0.533 |
|
| 2006 |
Herner JD, Ying Q, Aw J, Gao O, Chang DPY, Kleeman MJ. Dominant Mechanisms that Shape the Airborne Particle Size and Composition Distribution in Central California Aerosol Science and Technology. 40: 827-844. DOI: 10.1080/02786820600728668 |
0.751 |
|
| 2006 |
Ying Q, Kleeman MJ. Source contributions to the regional distribution of secondary particulate matter in California Atmospheric Environment. 40: 736-752. DOI: 10.1016/J.Atmosenv.2005.10.007 |
0.716 |
|
| 2006 |
Li J, Ying Q. Research of on-line monitoring of the amount of airborne particulate Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument. 27: 1643-1644. |
0.317 |
|
| 2005 |
Kleeman MJ, Ying Q, Kaduwela A. Control strategies for the reduction of airborne particulate nitrate in California's San Joaquin Valley Atmospheric Environment. 39: 5325-5341. DOI: 10.1016/J.Atmosenv.2005.05.044 |
0.724 |
|
| 2005 |
Held T, Ying Q, Kleeman MJ, Schauer JJ, Fraser MP. A comparison of the UCD/CIT air quality model and the CMB source-receptor model for primary airborne particulate matter Atmospheric Environment. 39: 2281-2297. DOI: 10.1016/J.Atmosenv.2004.12.034 |
0.76 |
|
| 2004 |
Ying Q, Mysliwiec M, Kleeman MJ. Source apportionment of visibility impairment using a three-dimensional source-oriented air quality model. Environmental Science & Technology. 38: 1089-101. PMID 14998023 DOI: 10.1021/Es0349305 |
0.719 |
|
| 2004 |
Held T, Ying Q, Kaduwela A, Kleeman M. Modeling particulate matter in the San Joaquin Valley with a source-oriented externally mixed three-dimensional photochemical grid model Atmospheric Environment. 38: 3689-3711. DOI: 10.1016/J.Atmosenv.2004.02.053 |
0.737 |
|
| 2003 |
Ying Q, Kleeman MJ. Effects of aerosol UV extinction on the formation of ozone and secondary particulate matter Atmospheric Environment. 37: 5047-5068. DOI: 10.1016/J.Atmosenv.2003.08.007 |
0.731 |
|
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