Year |
Citation |
Score |
2021 |
Liu F, Wu H, Zhao Y, Li D, Yang JL, Song X, Shi Z, Zhu AX, Zhang GL. Mapping high resolution National Soil Information Grids of China. Science Bulletin. 67: 328-340. PMID 36546081 DOI: 10.1016/j.scib.2021.10.013 |
0.314 |
|
2021 |
Zhou Y, Chen S, Zhu A, Hu B, Shi Z, Li Y. Revealing the scale- and location-specific controlling factors of soil organic carbon in Tibet Geoderma. 382: 114713. DOI: 10.1016/J.Geoderma.2020.114713 |
0.344 |
|
2020 |
Lian H, Yen H, Huang JC, Feng Q, Qin L, Bashir MA, Wu S, Zhu AX, Luo J, Di H, Lei Q, Liu H. CN-China: Revised runoff curve number by using rainfall-runoff events data in China. Water Research. 177: 115767. PMID 32283435 DOI: 10.1016/J.Watres.2020.115767 |
0.326 |
|
2020 |
Hong H, Liu J, Zhu AX. Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble. The Science of the Total Environment. 718: 137231. PMID 32097835 DOI: 10.1016/J.Scitotenv.2020.137231 |
0.376 |
|
2020 |
Zhang F, Wang G, Hu Y, Chen L, Zhu AX. Design of an Integrated Remote and Ground Sensing Monitor System for Assessing Farmland Quality. Sensors (Basel, Switzerland). 20. PMID 31936040 DOI: 10.3390/S20020336 |
0.308 |
|
2020 |
Zeng C, Yang L, Zhu A. The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping Remote Sensing. 12: 1691. DOI: 10.3390/Rs12101691 |
0.429 |
|
2020 |
Wang D, Zhu A. Soil Mapping Based on the Integration of the Similarity-Based Approach and Random Forests Land. 9: 174. DOI: 10.3390/Land9060174 |
0.462 |
|
2020 |
Fan N, Zhu A, Qin C, Liang P. Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data Isprs International Journal of Geo-Information. 9: 102. DOI: 10.3390/Ijgi9020102 |
0.428 |
|
2020 |
Zou Z, Yang H, Zhu A. Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data Ieee Access. 8: 24819-24828. DOI: 10.1109/Access.2020.2971008 |
0.366 |
|
2020 |
Burt JE, White J, Allord G, Then KM, Zhu A. Automated and semi-automated map georeferencing Cartography and Geographic Information Science. 47: 46-66. DOI: 10.1080/15230406.2019.1604161 |
0.341 |
|
2020 |
LIANG P, QIN C, ZHU A, HOU Z, FAN N, WANG Y. A case-based method of selecting covariates for digital soil mapping Journal of Integrative Agriculture. 19: 2127-2136. DOI: 10.1016/S2095-3119(19)62857-1 |
0.396 |
|
2020 |
Yang L, He X, Shen F, Zhou C, Zhu A, Gao B, Chen Z, Li M. Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data Soil & Tillage Research. 196: 104465. DOI: 10.1016/J.Still.2019.104465 |
0.434 |
|
2020 |
Lin C, Zhu A, Wang Z, Wang X, Ma R. The refined spatiotemporal representation of soil organic matter based on remote images fusion of Sentinel-2 and Sentinel-3 International Journal of Applied Earth Observation and Geoinformation. 89: 102094. DOI: 10.1016/J.Jag.2020.102094 |
0.367 |
|
2020 |
Liu J, Zhu A, Rossiter D, Du F, Burt J. A trustworthiness indicator to select sample points for the individual predictive soil mapping method (iPSM) Geoderma. 373: 114440. DOI: 10.1016/J.Geoderma.2020.114440 |
0.401 |
|
2020 |
Ma T, Brus DJ, Zhu A, Zhang L, Scholten T. Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps Geoderma. 370: 114366. DOI: 10.1016/J.Geoderma.2020.114366 |
0.41 |
|
2020 |
Yang L, Li X, Shi J, Shen F, Qi F, Gao B, Chen Z, Zhu A, Zhou C. Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method Geoderma. 369: 114337. DOI: 10.1016/J.Geoderma.2020.114337 |
0.394 |
|
2020 |
Liu X, Zhu A, Yang L, Pei T, Liu J, Zeng C, Wang D. A graded proportion method of training sample selection for updating conventional soil maps Geoderma. 357: 113939. DOI: 10.1016/J.Geoderma.2019.113939 |
0.393 |
|
2020 |
Zhang G, Zhu A, He Y, Huang Z, Ren G, Xiao W. Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China Ecological Indicators. 118: 106735. DOI: 10.1016/J.Ecolind.2020.106735 |
0.374 |
|
2020 |
Zeng C, Qi F, Zhu A, Liu F. Construction of land surface dynamic feedback for digital soil mapping considering the spatial heterogeneity of rainfall magnitude Catena. 191: 104576. DOI: 10.1016/J.Catena.2020.104576 |
0.473 |
|
2020 |
Ma T, Wei T, Qin C, Zhu A, Qi F, Liu J, Zhao F, Pan H. In-situ recommendation of alternative soil samples during field sampling based on environmental similarity Earth Science Informatics. 13: 39-53. DOI: 10.1007/S12145-019-00407-X |
0.365 |
|
2020 |
Zhu T, Xu X, Zhu A, Wang X. Assessment of soil shear strength in gully systems: A case-study in the Wangjiagou (WJG) watershed on the Loess Plateau of China Land Degradation & Development. DOI: 10.1002/Ldr.3633 |
0.329 |
|
2019 |
Liu S, Peng Y, Xia Z, Hu Y, Wang G, Zhu AX, Liu Z. The GA-BPNN-Based Evaluation of Cultivated Land Quality in the PSR Framework Using Gaofen-1 Satellite Data. Sensors (Basel, Switzerland). 19. PMID 31771107 DOI: 10.3390/S19235127 |
0.412 |
|
2019 |
Xia Z, Peng Y, Liu S, Liu Z, Wang G, Zhu AX, Hu Y. The Optimal Image Date Selection for Evaluating Cultivated Land Quality Based on Gaofen-1 Images. Sensors (Basel, Switzerland). 19. PMID 31766165 DOI: 10.3390/S19224937 |
0.316 |
|
2019 |
Behrens T, Viscarra Rossel RA, Kerry R, MacMillan R, Schmidt K, Lee J, Scholten T, Zhu AX. The relevant range of scales for multi-scale contextual spatial modelling. Scientific Reports. 9: 14800. PMID 31616033 DOI: 10.1038/S41598-019-51395-3 |
0.353 |
|
2019 |
Zhu L, Qin C, Zhu A, Liu J, Wu H. Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios Water. 11: 262. DOI: 10.3390/W11020262 |
0.341 |
|
2019 |
Hou Z, Qin C, Zhu A, Liang P, Wang Y, Zhu Y. From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling Isprs International Journal of Geo-Information. 8: 376. DOI: 10.3390/Ijgi8090376 |
0.336 |
|
2019 |
Zhao F, Qin C, Wei T, Ma T, Qi F, Liu J, Zhu A. Dynamic Recommendation of Substitute Locations for Inaccessible Soil Samples during Field Sampling Campaign Isprs International Journal of Geo-Information. 8: 127. DOI: 10.3390/Ijgi8030127 |
0.31 |
|
2019 |
Zhu L, Liu J, Zhu A, Duan Z. Spatial evaluation of L-band satellite-based soil moisture products in the upper Huai River basin of China European Journal of Remote Sensing. 52: 194-205. DOI: 10.1080/22797254.2019.1579618 |
0.406 |
|
2019 |
Zhang G, Zhu A. A representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena International Journal of Geographical Information Science. 33: 1873-1893. DOI: 10.1080/13658816.2019.1615071 |
0.387 |
|
2019 |
Lü G, Batty M, Strobl J, Lin H, Zhu A, Chen M. Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective International Journal of Geographical Information Science. 33: 346-367. DOI: 10.1080/13658816.2018.1533136 |
0.335 |
|
2019 |
Wang D, Liu J, Zhu A, Wang S, Zeng C, Ma T. Automatic extraction and structuration of soil–environment relationship information from soil survey reports Journal of Integrative Agriculture. 18: 328-339. DOI: 10.1016/S2095-3119(18)62071-4 |
0.378 |
|
2019 |
CHENG W, ZHU A, QIN C, QI F. Updating conventional soil maps by mining soil–environment relationships from individual soil polygons Journal of Integrative Agriculture. 18: 265-278. DOI: 10.1016/S2095-3119(18)61938-0 |
0.428 |
|
2019 |
Zhang G, Zhu A. A representativeness heuristic for mitigating spatial bias in existing soil samples for digital soil mapping Geoderma. 351: 130-143. DOI: 10.1016/J.Geoderma.2019.05.024 |
0.413 |
|
2019 |
Yang L, Song M, Zhu A, Qin C, Zhou C, Qi F, Li X, Chen Z, Gao B. Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables Geoderma. 340: 289-302. DOI: 10.1016/J.Geoderma.2019.01.015 |
0.391 |
|
2019 |
Zhu L, Liu J, Qin C, Zhu A. A modular and parallelized watershed modeling framework Environmental Modelling and Software. 122: 104526. DOI: 10.1016/J.Envsoft.2019.104526 |
0.335 |
|
2019 |
Zhu A, Miao Y, Liu J, Bai S, Zeng C, Ma T, Hong H. A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods Catena. 183: 104188. DOI: 10.1016/J.Catena.2019.104188 |
0.382 |
|
2019 |
Hong H, Miao Y, Liu J, Zhu A. Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping Catena. 176: 45-64. DOI: 10.1016/J.Catena.2018.12.035 |
0.407 |
|
2019 |
Song Y, Zhu A, Cui X, Liu Y, Hu Y, Li B. Spatial variability of selected metals using auxiliary variables in agricultural soils Catena. 174: 499-513. DOI: 10.1016/J.Catena.2018.11.030 |
0.364 |
|
2019 |
Li A, Chen Y, Lü G, Zhu A. Automatic detection of geological folds using attributed relational graphs and formal grammar Computers & Geosciences. 127: 75-84. DOI: 10.1016/J.Cageo.2019.03.006 |
0.344 |
|
2019 |
Sheng M, Liu J, Zhu A, Rossiter DG, Liu H, Liu Z, Zhu L. Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model Agricultural and Forest Meteorology. 278: 107659. DOI: 10.1016/J.Agrformet.2019.107659 |
0.305 |
|
2019 |
Hong H, Liu J, Zhu A. Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China) Environmental Earth Sciences. 78: 1-20. DOI: 10.1007/S12665-019-8415-9 |
0.382 |
|
2019 |
Li A, Zhu A. Copyright authentication of digital vector maps based on spatial autocorrelation indices Earth Science Informatics. 12: 629-639. DOI: 10.1007/S12145-019-00386-Z |
0.371 |
|
2019 |
Chen W, Shahabi H, Shirzadi A, Hong H, Akgun A, Tian Y, Liu J, Zhu A, Li S. Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling Bulletin of Engineering Geology and the Environment. 78: 4397-4419. DOI: 10.1007/S10064-018-1401-8 |
0.399 |
|
2018 |
Sahana M, Hong H, Sajjad H, Liu J, Zhu AX. Assessing deforestation susceptibility to forest ecosystem in Rudraprayag district, India using fragmentation approach and frequency ratio model. The Science of the Total Environment. 627: 1264-1275. PMID 30857091 DOI: 10.1016/J.Scitotenv.2018.01.290 |
0.424 |
|
2018 |
Chen W, Peng J, Hong H, Shahabi H, Pradhan B, Liu J, Zhu AX, Pei X, Duan Z. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. The Science of the Total Environment. 626: 1121-1135. PMID 29898519 DOI: 10.1016/J.Scitotenv.2018.01.124 |
0.378 |
|
2018 |
Hong H, Tsangaratos P, Ilia I, Liu J, Zhu AX, Xu C. Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China. The Science of the Total Environment. 630: 1044-1056. PMID 29554726 DOI: 10.1016/J.Scitotenv.2018.02.278 |
0.413 |
|
2018 |
Fan S, Hu Y, Wang L, Liu Z, Shi Z, Wu W, Pan Y, Wang G, Zhu A, Li B. Improving Spatial Soil Moisture Representation through the Integration of SMAP and PROBA-V Products Sustainability. 10: 3459. DOI: 10.3390/Su10103459 |
0.443 |
|
2018 |
Shi J, Yang L, Zhu A, Qin C, Liang P, Zeng C, Pei T. Machine‐Learning Variables at Different Scales vs. Knowledge‐based Variables for Mapping Multiple Soil Properties Soil Science Society of America Journal. 82: 645-656. DOI: 10.2136/Sssaj2017.11.0392 |
0.389 |
|
2018 |
Zhu A, Lu G, Liu J, Qin C, Zhou C. Spatial prediction based on Third Law of Geography Annals of Gis. 24: 225-240. DOI: 10.1080/19475683.2018.1534890 |
0.306 |
|
2018 |
Lin B, Zhou L, Xu D, Zhu A, Lu G. A discrete global grid system for earth system modeling International Journal of Geographical Information Science. 32: 711-737. DOI: 10.1080/13658816.2017.1391389 |
0.311 |
|
2018 |
Xiong L, Zhu A, Zhang L, Tang G. Drainage basin object-based method for regional-scale landform classification: a case study of loess area in China Physical Geography. 39: 523-541. DOI: 10.1080/02723646.2018.1442062 |
0.362 |
|
2018 |
Wu M, Zhu A, He L. Improving the Quality of Cartographic Colour Reproduction Using the Self-Organizing Map Method Cartographic Journal. 55: 273-284. DOI: 10.1080/00087041.2017.1414106 |
0.321 |
|
2018 |
Zhu L, Zhu A, Qin C, Liu J. Automatic approach to deriving fuzzy slope positions Geomorphology. 304: 173-183. DOI: 10.1016/J.Geomorph.2017.12.024 |
0.328 |
|
2018 |
Yang L, Brus DJ, Zhu A, Li X, Shi J. Accounting for access costs in validation of soil maps: A comparison of design-based sampling strategies Geoderma. 315: 160-169. DOI: 10.1016/J.Geoderma.2017.11.028 |
0.341 |
|
2018 |
An Y, Yang L, Zhu A, Qin C, Shi J. Identification of representative samples from existing samples for digital soil mapping Geoderma. 311: 109-119. DOI: 10.1016/J.Geoderma.2017.03.014 |
0.379 |
|
2018 |
Sheng M, Liu J, Zhu A, Rossiter DG, Zhu L, Peng G. Evaluation of CLM-Crop for maize growth simulation over Northeast China Ecological Modelling. 377: 26-34. DOI: 10.1016/J.Ecolmodel.2018.03.005 |
0.326 |
|
2018 |
Zhu A, Miao Y, Yang L, Bai S, Liu J, Hong H. Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping Catena. 171: 222-233. DOI: 10.1016/J.Catena.2018.07.012 |
0.364 |
|
2018 |
Zhu A, Miao Y, Wang R, Zhu T, Deng Y, Liu J, Yang L, Qin C, Hong H. A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping Catena. 166: 317-327. DOI: 10.1016/J.Catena.2018.04.003 |
0.541 |
|
2018 |
Chen W, Xie X, Peng J, Shahabi H, Hong H, Bui DT, Duan Z, Li S, Zhu A. GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method Catena. 164: 135-149. DOI: 10.1016/J.Catena.2018.01.012 |
0.381 |
|
2018 |
Hong H, Liu J, Bui DT, Pradhan B, Acharya TD, Pham BT, Zhu A, Chen W, Ahmad BB. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) Catena. 163: 399-413. DOI: 10.1016/J.Catena.2018.01.005 |
0.44 |
|
2018 |
Hong H, Kornejady A, Soltani A, Termeh SVR, Liu J, Zhu A, hesar AY, Ahmad BB, Wang Y. Landslide susceptibility assessment in the Anfu County, China: comparing different statistical and probabilistic models considering the new topo-hydrological factor (HAND) Earth Science Informatics. 11: 605-622. DOI: 10.1007/S12145-018-0352-8 |
0.438 |
|
2018 |
Yang X, Na J, Tang G, Wang T, Zhu A. Bank gully extraction from DEMs utilizing the geomorphologic features of a loess hilly area in China Frontiers of Earth Science. 13: 151-168. DOI: 10.1007/S11707-018-0700-5 |
0.406 |
|
2018 |
Wu H, Zhu A, Liu J, Liu Y, Jiang J. Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields Water Resources Management. 32: 155-177. DOI: 10.1007/S11269-017-1801-8 |
0.317 |
|
2018 |
Hong H, Pradhan B, Sameen MI, Kalantar B, Zhu A, Chen W. Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach Landslides. 15: 753-772. DOI: 10.1007/S10346-017-0906-8 |
0.407 |
|
2018 |
Wu M, Chen T, Wang H, Lv G, Zhu A. An adaptive approach to create on‐demand color schemes for mapping quantitative geographic data Color Research and Application. 43: 569-585. DOI: 10.1002/Col.22212 |
0.318 |
|
2017 |
Hong H, Tsangaratos P, Ilia I, Liu J, Zhu AX, Chen W. Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China. The Science of the Total Environment. 625: 575-588. PMID 29291572 DOI: 10.1016/J.Scitotenv.2017.12.256 |
0.418 |
|
2017 |
Hong H, Panahi M, Shirzadi A, Ma T, Liu J, Zhu AX, Chen W, Kougias I, Kazakis N. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution. The Science of the Total Environment. PMID 29074239 DOI: 10.1016/J.Scitotenv.2017.10.114 |
0.379 |
|
2017 |
Zeng C, Yang L, Zhu A. Construction of Membership Functions for Soil Mapping using the Partial Dependence of Soil on Environmental Covariates Calculated by Random Forest Soil Science Society of America Journal. 81: 341-353. DOI: 10.2136/Sssaj2016.06.0195 |
0.404 |
|
2017 |
Lin B, Zhou L, Lv G, Zhu A. 3D geological modelling based on 2D geological map Annals of Gis: Geographic Information Sciences. 23: 117-129. DOI: 10.1080/19475683.2017.1304450 |
0.307 |
|
2017 |
Luo W, Yu Z, Yuan L, Hu Y, Zhu A, Lü G. Template-based GIS computation: a geometric algebra approach International Journal of Geographical Information Science. 31: 2045-2067. DOI: 10.1080/13658816.2017.1346796 |
0.346 |
|
2017 |
Zhu Y, Zhu A, Feng M, Song J, Zhao H, Yang J, Zhang Q, Sun K, Zhang J, Yao L. A similarity-based automatic data recommendation approach for geographic models International Journal of Geographical Information Science. 31: 1403-1424. DOI: 10.1080/13658816.2017.1300805 |
0.339 |
|
2017 |
YANG L, ZHU A, ZHAO Y, LI D, ZHANG G, ZHANG S, BAND LE. Regional Soil Mapping Using Multi-Grade Representative Sampling and a Fuzzy Membership-Based Mapping Approach Pedosphere. 27: 344-357. DOI: 10.1016/S1002-0160(17)60322-9 |
0.444 |
|
2017 |
Huang C, Yunmei L, Liu G, Guo Y, Yang H, Zhu A, Song T, Huang T, Zhang M, Shi K. Tracing high time-resolution fluctuations in dissolved organic carbon using satellite and buoy observations: Case study in Lake Taihu, China International Journal of Applied Earth Observation and Geoinformation. 62: 174-182. DOI: 10.1016/J.Jag.2017.06.009 |
0.315 |
|
2017 |
Zeng C, Zhu AX, Liu F, Yang L, Rossiter DG, Liu J, Wang D. The impact of rainfall magnitude on the performance of digital soil mapping over low-relief areas using a land surface dynamic feedback method Ecological Indicators. 72: 297-309. DOI: 10.1016/J.Ecolind.2016.08.023 |
0.431 |
|
2017 |
Zhou L, Lian W, Lv G, Zhu A, Lin B. Efficient encoding and decoding algorithm for triangular discrete global grid based on Hybrid Transformation Strategy Computers, Environment and Urban Systems. 68: 110-120. DOI: 10.1016/J.Compenvurbsys.2017.11.005 |
0.316 |
|
2017 |
Qin C, Ai B, Zhu A, Liu J. An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models Computers & Geosciences. 100: 94-102. DOI: 10.1016/J.Cageo.2016.12.009 |
0.326 |
|
2017 |
Hong H, Liu J, Zhu A, Shahabi H, Pham BT, Chen W, Pradhan B, Bui DT. A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) Environmental Earth Sciences. 76: 1-19. DOI: 10.1007/S12665-017-6981-2 |
0.429 |
|
2017 |
Huang C, Yang H, Li Y, Zhang M, Lv H, Zhu A, Yu Y, Luo Y, Huang T. Quantificational effect of reforestation to soil erosion in subtropical monsoon regions with acid red soil by sediment fingerprinting Environmental Earth Sciences. 76: 34. DOI: 10.1007/S12665-016-6349-Z |
0.404 |
|
2017 |
Liu K, Ding H, Tang G, Zhu A, Yang X, Jiang S, Cao J. An Object-based Approach for Two-level Gully Feature Mapping Using High-resolution DEM and Imagery: A Case Study on Hilly Loess Plateau Region, China Chinese Geographical Science. 27: 415-430. DOI: 10.1007/S11769-017-0874-X |
0.396 |
|
2017 |
Xiong L, Tang G, Zhu A, Yuan B, Lu B, Dang T. Paleotopographic controls on modern gully evolution in the loess landforms of China Science China-Earth Sciences. 60: 438-451. DOI: 10.1007/S11430-016-0211-5 |
0.325 |
|
2016 |
Liu Y, Yang W, Qin C, Zhu A. A Review and Discussion on Modeling and Assessing Agricultural Best Management Practices under Global Climate Change Journal of Sustainable Development. 9: 245. DOI: 10.5539/Jsd.V9N1P245 |
0.304 |
|
2016 |
Qin C, Wu X, Jiang J, Zhu A. Case-based knowledge formalization and reasoning method for digital terrain analysis – application to extracting drainage networks Hydrology and Earth System Sciences. 20: 3379-3392. DOI: 10.5194/Hess-20-3379-2016 |
0.326 |
|
2016 |
Yue Y, Li M, Zhu A, Ye X, Mao R, Wan J, Dong J. Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach Sustainability. 8: 1174. DOI: 10.3390/Su8111174 |
0.39 |
|
2016 |
Yang L, Qi F, Zhu AX, Shi J, An Y. Evaluation of integrative hierarchical stepwise sampling for digital soil mapping Soil Science Society of America Journal. 80: 637-651. DOI: 10.2136/Sssaj2015.08.0285 |
0.417 |
|
2016 |
Wu M, Zhu A, Zheng P, Cui L, Zhang X. An improved map-symbol model to facilitate sharing of heterogeneous qualitative map symbols Cartography and Geographic Information Science. 1-14. DOI: 10.1080/15230406.2015.1102083 |
0.357 |
|
2016 |
Xiong LY, Tang GA, Zhu AX, Qian YQ. A peak-cluster assessment method for the identification of upland planation surfaces International Journal of Geographical Information Science. 1-18. DOI: 10.1080/13658816.2016.1205193 |
0.314 |
|
2016 |
Guo S, Zhu A, Meng L, Burt JE, Du F, Liu J, Zhang G. Unification of soil feedback patterns under different evaporation conditions to improve soil differentiation over flat area International Journal of Applied Earth Observation and Geoinformation. 49: 126-137. DOI: 10.1016/J.Jag.2016.02.002 |
0.394 |
|
2016 |
Li Y, Zhu AX, Shi Z, Liu J, Du F. Supplemental sampling for digital soil mapping based on prediction uncertainty from both the feature domain and the spatial domain Geoderma. 284: 73-84. DOI: 10.1016/J.Geoderma.2016.08.013 |
0.404 |
|
2016 |
Zeng C, Yang L, Zhu AX, Rossiter DG, Liu J, Qin C, Wang D. Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method Geoderma. 281: 69-82. DOI: 10.1016/J.Geoderma.2016.06.033 |
0.452 |
|
2016 |
Zhang SJ, Zhu AX, Liu J, Yang L, Qin CZ, An YM. An heuristic uncertainty directed field sampling design for digital soil mapping Geoderma. 267: 123-136. DOI: 10.1016/J.Geoderma.2015.12.009 |
0.393 |
|
2016 |
Jiang J, Zhu A, Qin C, Zhu T, Liu J, Du F, Liu J, Zhang G, An Y. CyberSoLIM: A cyber platform for digital soil mapping Geoderma. 263: 234-243. DOI: 10.1016/J.Geoderma.2015.04.018 |
0.425 |
|
2016 |
Liu J, Zhu AX, Qin CZ, Wu H, Jiang J. A two-level parallelization method for distributed hydrological models Environmental Modelling and Software. 80: 175-184. DOI: 10.1016/J.Envsoft.2016.02.032 |
0.305 |
|
2016 |
Lin D, Yu H, Lian F, Wang Ja, Zhu Ax, Yue Y. Quantifying the hazardous impacts of human-induced land degradation on terrestrial ecosystems: a case study of karst areas of south China Environmental Earth Sciences. 75. DOI: 10.1007/S12665-016-5903-Z |
0.375 |
|
2015 |
Huang C, Zhang M, Zou J, Zhu AX, Chen X, Mi Y, Wang Y, Yang H, Li Y. Changes in land use, climate and the environment during a period of rapid economic development in Jiangsu Province, China. The Science of the Total Environment. 536: 173-181. PMID 26204053 DOI: 10.1016/J.Scitotenv.2015.07.014 |
0.313 |
|
2015 |
Guo S, Meng L, Zhu AX, Burt JE, Du F, Liu J, Zhang G. Data-gap filling to understand the dynamic feedback pattern of soil Remote Sensing. 7: 11801-11820. DOI: 10.3390/Rs70911801 |
0.417 |
|
2015 |
Luo W, Yu ZY, Xiao SJ, Zhu AX, Yuan LW. Exploratory method for spatio-temporal feature extraction and clustering: An integrated multi-scale framework Isprs International Journal of Geo-Information. 4: 1870-1893. DOI: 10.3390/Ijgi4041870 |
0.307 |
|
2015 |
Liu J, Duan Z, Jiang J, Zhu A. Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China Advances in Meteorology. 2015: 1-13. DOI: 10.1155/2015/151239 |
0.325 |
|
2015 |
Yuan L, Yu Z, Luo W, Hu Y, Feng L, Zhu A. A Hierarchical Tensor-Based Approach to Compressing, Updating and Querying Geospatial Data Ieee Transactions On Knowledge and Data Engineering. 27: 312-325. DOI: 10.1109/Tkde.2014.2330829 |
0.34 |
|
2015 |
Yue S, Yang J, Chen M, Lu G, Zhu Ax, Wen Y. A function-based linear map symbol building and rendering method using shader language International Journal of Geographical Information Science. DOI: 10.1080/13658816.2015.1077964 |
0.343 |
|
2015 |
Yu Z, Luo W, Hu Y, Yuan L, Zhu AX, Lü G. Change detection for 3D vector data: a CGA-based Delaunay–TIN intersection approach International Journal of Geographical Information Science. DOI: 10.1080/13658816.2015.1077963 |
0.313 |
|
2015 |
Zhu AX, Zhang G, Wang W, Xiao W, Huang ZP, Dunzhu GS, Ren G, Qin CZ, Yang L, Pei T, Yang S. A citizen data-based approach to predictive mapping of spatial variation of natural phenomena International Journal of Geographical Information Science. DOI: 10.1080/13658816.2015.1058387 |
0.406 |
|
2015 |
Du F, Zhu AX, Qi F. Interactive visual cluster detection in large geospatial datasets based on dynamic density volume visualization Geocarto International. DOI: 10.1080/10106049.2015.1073364 |
0.304 |
|
2015 |
Huang C, Shi K, Yang H, Li Y, Zhu A, Sun D, Xu L, Zou J, Chen X. Satellite observation of hourly dynamic characteristics of algae with Geostationary Ocean Color Imager (GOCI) data in Lake Taihu Remote Sensing of Environment. 159: 278-287. DOI: 10.1016/J.Rse.2014.12.016 |
0.343 |
|
2015 |
Zhou C, Chen Z, Liu Y, Li F, Cheng L, Zhu AX, Li M. Data decomposition method for parallel polygon rasterization considering load balancing Computers and Geosciences. 85: 196-209. DOI: 10.1016/J.Cageo.2015.09.003 |
0.315 |
|
2015 |
Liu K, Tang G, Jiang L, Zhu A, Yang J, Song X. Regional-scale calculation of the LS factor using parallel processing Computers & Geosciences. 78: 110-122. DOI: 10.1016/J.Cageo.2015.02.001 |
0.31 |
|
2015 |
Li R, Rui X, Zhu AX, Liu J, Band LE, Song X. Increasing detail of distributed runoff modeling using fuzzy logic in curve number Environmental Earth Sciences. 73: 3197-3205. DOI: 10.1007/S12665-014-3620-Z |
0.404 |
|
2015 |
Wen W, Wang Y, Yang L, Liang D, Chen L, Liu J, Zhu A. Mapping soil organic carbon using auxiliary environmental covariates in a typical watershed in the Loess Plateau of China: a comparative study based on three kriging methods and a soil land inference model (SoLIM) Environmental Earth Sciences. 73: 239-251. DOI: 10.1007/S12665-014-3518-9 |
0.484 |
|
2015 |
Yang L, Huang C, Liu G, Liu J, Zhu A. Mapping soil salinity using a similarity-based prediction approach: A case study in Huanghe River Delta, China Chinese Geographical Science. 25: 283-294. DOI: 10.1007/S11769-015-0740-7 |
0.45 |
|
2015 |
Yue Y, Li J, Ye X, Wang Z, Zhu AX, Wang Ja. An EPIC model-based vulnerability assessment of wheat subject to drought Natural Hazards. 78: 1629-1652. DOI: 10.1007/S11069-015-1793-8 |
0.337 |
|
2015 |
Yue Y, Shi P, Zou X, Ye X, Zhu A, Wang J. The measurement of wind erosion through field survey and remote sensing: a case study of the Mu Us Desert, China Natural Hazards. 76: 1497-1514. DOI: 10.1007/S11069-014-1516-6 |
0.325 |
|
2015 |
Van Den Hoek J, Burnicki AC, Ozdogan M, Zhu AX. Using a pattern metric-based analysis to examine the success of forest policy implementation in Southwest China Landscape Ecology. 30: 1111-1127. DOI: 10.1007/S10980-015-0171-Y |
0.58 |
|
2015 |
Du F, Zhu AX, Band L, Liu J. Soil property variation mapping through data mining of soil category maps Hydrological Processes. 29: 2491-2503. DOI: 10.1002/Hyp.10383 |
0.416 |
|
2014 |
Zhu A, Wang R, Qiao J, Qin C, Chen Y, Liu J, Du F, Lin Y, Zhu T. An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic Geomorphology. 214: 128-138. DOI: 10.1016/J.Geomorph.2014.02.003 |
0.558 |
|
2014 |
Behrens T, Schmidt K, Ramirez-Lopez L, Gallant J, Zhu AX, Scholten T. Hyper-scale digital soil mapping and soil formation analysis Geoderma. 213: 578-588. DOI: 10.1016/J.Geoderma.2013.07.031 |
0.449 |
|
2014 |
Liu J, Zhu A, Liu Y, Zhu T, Qin C. A layered approach to parallel computing for spatially distributed hydrological modeling Environmental Modelling and Software. 51: 221-227. DOI: 10.1016/J.Envsoft.2013.10.005 |
0.3 |
|
2014 |
Van Den Hoek J, Ozdogan M, Burnicki A, Zhu AX. Evaluating forest policy implementation effectiveness with a cross-scale remote sensing analysis in a priority conservation area of Southwest China Applied Geography. 47: 177-189. DOI: 10.1016/J.Apgeog.2013.12.010 |
0.589 |
|
2013 |
Qin C, Bao L, Zhu A, Wang R, Hu X. Uncertainty due to DEM error in landslide susceptibility mapping International Journal of Geographical Information Science. 27: 1364-1380. DOI: 10.1080/13658816.2013.770515 |
0.568 |
|
2013 |
Qin C, Bao L, Zhu A, Hu X, Qin B. Artificial surfaces simulating complex terrain types for evaluating grid-based flow direction algorithms International Journal of Geographical Information Science. 27: 1055-1072. DOI: 10.1080/13658816.2012.737920 |
0.315 |
|
2013 |
Zhu A. Fuzzy Inference of Soil Patterns: Implications for Watershed Modeling Geophysical Monograph. 108: 135-149. DOI: 10.1029/Gm108P0135 |
0.356 |
|
2013 |
Zhu A, Wang P, Zhu T, Chen L, Cai Q, Liu H. Modeling runoff and soil erosion in the Three-Gorge Reservoir drainage area of China using limited plot data Journal of Hydrology. 492: 163-175. DOI: 10.1016/J.Jhydrol.2013.03.038 |
0.435 |
|
2013 |
Liu J, Zhu A, Qin C. Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models Computers & Geosciences. 60: 58-62. DOI: 10.1016/J.Cageo.2013.04.030 |
0.327 |
|
2013 |
Zhang S, Zhu A, Liu W, Liu J, Yang L. Mapping Detailed Soil Property Using Small Scale Soil Type Maps and Sparse Typical Samples Chinese Geographical Science. 23: 680-691. DOI: 10.1007/S11769-013-0632-7 |
0.432 |
|
2013 |
Shangguan W, Dai Y, Liu B, Zhu A, Duan Q, Wu L, Ji D, Ye A, Yuan H, Zhang Q, Chen D, Chen M, Chu J, Dou Y, Guo J, et al. A China data set of soil properties for land surface modeling Journal of Advances in Modeling Earth Systems. 5: 212-224. DOI: 10.1002/Jame.20026 |
0.42 |
|
2012 |
Gao J, Burt JE, Zhu AX. Neighborhood size and spatial scale in raster-based slope calculations International Journal of Geographical Information Science. 26: 1959-1978. DOI: 10.1080/13658816.2012.657201 |
0.317 |
|
2012 |
Zhu A, Lark M, Minasny B, Huang Y. Entering the digital world (Pedometrics 2009) Geoderma. 171: 1-2. DOI: 10.1016/J.Geoderma.2012.01.005 |
0.342 |
|
2012 |
Qin C, Zhu A, Qiu W, Lu Y, Li B, Pei T. Mapping soil organic matter in small low-relief catchments using fuzzy slope position information Geoderma. 171: 64-74. DOI: 10.1016/J.Geoderma.2011.06.006 |
0.45 |
|
2012 |
Liu F, Geng X, Zhu A, Fraser W, Waddell A. Soil texture mapping over low relief areas using land surface feedback dynamic patterns extracted from MODIS Geoderma. 171: 44-52. DOI: 10.1016/J.Geoderma.2011.05.007 |
0.448 |
|
2012 |
Sun X, Zhao Y, Wang H, Yang L, Qin C, Zhu A, Zhang G, Pei T, Li B. Sensitivity of digital soil maps based on FCM to the fuzzy exponent and the number of clusters Geoderma. 171: 24-34. DOI: 10.1016/J.Geoderma.2011.03.016 |
0.363 |
|
2011 |
Yang L, Jiao Y, Fahmy S, Zhu A, Hann S, Burt JE, Qi F. Updating Conventional Soil Maps through Digital Soil Mapping Soil Science Society of America Journal. 75: 1044-1053. DOI: 10.2136/Sssaj2010.0002 |
0.421 |
|
2011 |
Burt JE, Zhu AX, Harrower M. Depicting classification uncertainty using perception-based color models Annals of Gis. 17: 147-153. DOI: 10.1080/19475683.2011.602024 |
0.313 |
|
2011 |
Qi F, Zhu A. Comparing three methods for modeling the uncertainty in knowledge discovery from area-class soil maps Computers & Geosciences. 37: 1425-1436. DOI: 10.1016/J.Cageo.2010.10.016 |
0.435 |
|
2011 |
Qin C, Zhu A, Pei T, Li B, Scholten T, Behrens T, Zhou C. An approach to computing topographic wetness index based on maximum downslope gradient Precision Agriculture. 12: 32-43. DOI: 10.1007/S11119-009-9152-Y |
0.367 |
|
2010 |
Zhu A, Liu F, Li B, Pei T, Qin C, Liu G, Wang Y, Chen Y, Ma X, Qi F, Zhou C. Differentiation of soil conditions over low relief areas using feedback dynamic patterns. Soil Science Society of America Journal. 74: 861-869. DOI: 10.2136/Sssaj2008.0411 |
0.4 |
|
2010 |
Zhu A, Qi F, Moore A, Burt JE. Prediction of soil properties using fuzzy membership values Geoderma. 158: 199-206. DOI: 10.1016/J.Geoderma.2010.05.001 |
0.398 |
|
2010 |
Behrens T, Zhu A, Schmidt K, Scholten T. Multi-scale digital terrain analysis and feature selection for digital soil mapping Geoderma. 155: 175-185. DOI: 10.1016/J.Geoderma.2009.07.010 |
0.419 |
|
2010 |
Zhu A, Yang L, Li B, Qin C, Pei T, Liu B. Construction of membership functions for predictive soil mapping under fuzzy logic Geoderma. 155: 164-174. DOI: 10.1016/J.Geoderma.2009.05.024 |
0.418 |
|
2010 |
Pei T, Qin C, Zhu A, Yang L, Luo M, Li B, Zhou C. Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods Ecological Indicators. 10: 610-619. DOI: 10.1016/J.Ecolind.2009.10.005 |
0.431 |
|
2009 |
Qin C, Zhu A, Shi X, Li B, Pei T, Zhou C. Quantification of spatial gradation of slope positions Geomorphology. 110: 152-161. DOI: 10.1016/J.Geomorph.2009.04.003 |
0.577 |
|
2009 |
Ren G, Zhu A, Wang W, Xiao W, Huang Y, Li G, Li D, Zhu J. A hierarchical approach coupled with coarse DEM information for improving the efficiency and accuracy of forest mapping over very rugged terrains Forest Ecology and Management. 258: 26-34. DOI: 10.1016/J.Foreco.2009.03.043 |
0.411 |
|
2009 |
Pei T, Zhu A, Zhou C, Li B, Qin C. Detecting feature from spatial point processes using Collective Nearest Neighbor Computers, Environment and Urban Systems. 33: 435-447. DOI: 10.1016/J.Compenvurbsys.2009.08.001 |
0.314 |
|
2009 |
Liu J, Zhu A. Mapping with words: A new approach to automated digital soil survey Journal of Intelligent Systems. 24: 293-311. DOI: 10.1002/Int.V24:3 |
0.344 |
|
2008 |
Yang F, Zhu AX, Ichii K, White MA, Hashimoto H, Nemani RR. Assessing the representativeness of the AmeriFlux network using MODIS and GOES data Journal of Geophysical Research: Biogeosciences. 113. DOI: 10.1029/2007Jg000627 |
0.547 |
|
2008 |
Li B, Zhu A, Zhou C, Zhang Y, Pei T, Qin C. Automatic mapping of snow cover depletion curves using optical remote sensing data under conditions of frequent cloud cover and temporary snow Hydrological Processes. 22: 2930-2942. DOI: 10.1002/Hyp.6891 |
0.394 |
|
2007 |
Shi X, Zhu A, Burt J, Choi W, Wang R, Pei T, Li B, Qin C. An Experiment Using a Circular Neighborhood to Calculate Slope Gradient from a DEM Photogrammetric Engineering and Remote Sensing. 73: 143-154. DOI: 10.14358/Pers.73.2.143 |
0.597 |
|
2007 |
Yang F, Ichii K, White MA, Hashimoto H, Michaelis AR, Votava P, Zhu AX, Huete A, Running SW, Nemani RR. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach Remote Sensing of Environment. 110: 109-122. DOI: 10.1016/J.Rse.2007.02.016 |
0.593 |
|
2007 |
Li Y, Chen D, White RE, Zhu A, Zhang J. Estimating soil hydraulic properties of Fengqiu County soils in the North China Plain using pedo-transfer functions Geoderma. 138: 261-271. DOI: 10.1016/J.Geoderma.2006.11.018 |
0.369 |
|
2006 |
Li B, Zhu A, Zhang Y, Pei T, Qin C, Zhou C. Glacier change over the past four decades in the middle Chinese Tien Shan Journal of Glaciology. 52: 425-432. DOI: 10.3189/172756506781828557 |
0.321 |
|
2006 |
Yang F, White MA, Michaelis AR, Ichii K, Hashimoto H, Votava P, Zhu AX, Nemani RR. Prediction of continental-scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine Ieee Transactions On Geoscience and Remote Sensing. 44: 3452-3461. DOI: 10.1109/Tgrs.2006.876297 |
0.571 |
|
2006 |
Roth RE, Zhu A, Holbus E, Papez J, Quan J. An Automated Approach to Site Selection for Ecological Restoration in Fragmented Landscapes Annals of Gis: Geographic Information Sciences. 12: 98-105. DOI: 10.1080/10824000609480623 |
0.367 |
|
2006 |
Smith MP, Zhu A, Burt JE, Stiles C. The effects of DEM resolution and neighborhood size on digital soil survey Geoderma. 137: 58-69. DOI: 10.1016/J.Geoderma.2006.07.002 |
0.428 |
|
2006 |
Qi F, Zhu AX, Harrower M, Burt JE. Fuzzy soil mapping based on prototype category theory Geoderma. 136: 774-787. DOI: 10.1016/J.Geoderma.2006.06.001 |
0.424 |
|
2005 |
Li W, Zhang C, Burt JE, Zhu A. A markov chain-based probability vector approach for modeling spatial uncertainties of soil classes Soil Science Society of America Journal. 69: 1931-1941. DOI: 10.2136/Sssaj2004.0258A |
0.442 |
|
2003 |
Qi F, Zhu A. Knowledge discovery from soil maps using inductive learning International Journal of Geographical Information Science. 17: 771-795. DOI: 10.1080/13658810310001596049 |
0.429 |
|
2002 |
Shi X, Zhu A. A case-based reasoning approach to fuzzy soil mapping Soil Science Society of America Journal. 68: 885-894. DOI: 10.2136/Sssaj2004.8850 |
0.574 |
|
2000 |
Zhu AX. Mapping soil landscape as spatial continua: The neural network approach Water Resources Research. 36: 663-677. DOI: 10.1029/1999WR900315 |
0.304 |
|
1999 |
Zhu AX. A personal construct-based knowledge acquisition process for natural resource mapping International Journal of Geographical Information Science. 13: 119-141. DOI: 10.1080/136588199241382 |
0.403 |
|
1997 |
Zhu AX, Band L, Vertessy R, Dutton B. Derivation of soil properties using a soil land inference model (SoLIM) Soil Science Society of America Journal. 61: 523-533. DOI: 10.2136/Sssaj1997.03615995006100020022X |
0.422 |
|
1997 |
Zhu AX. A similarity model for representing soil spatial information Geoderma. 77: 217-242. DOI: 10.1016/S0016-7061(97)00023-2 |
0.426 |
|
1997 |
Zhu AX. Measuring uncertainty in class assignment for natural resource maps under fuzzy logic Photogrammetric Engineering and Remote Sensing. 63: 1195-1202. |
0.331 |
|
1996 |
Zhu AX, Band LE, Dutton B, Nimlos TJ. Automated soil inference under fuzzy logic Physiological and Molecular Plant Pathology. 48: 123-145. DOI: 10.1016/0304-3800(95)00161-1 |
0.426 |
|
1994 |
Zhu AX, Band LE. A Knowledge-based approach to data integration for soil mapping Canadian Journal of Remote Sensing. 20: 408-418. DOI: 10.1080/07038992.1994.10874583 |
0.403 |
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