Year |
Citation |
Score |
2020 |
Zhou L, Wang B, Jiang J, Reniers G, Liu L. A mathematical method for predicting flammability limits of gas mixtures Process Safety and Environmental Protection. 136: 280-287. DOI: 10.1016/J.Psep.2020.02.002 |
0.412 |
|
2020 |
Wang B, Zhou L, Liu X, Xu K, Wang Q. Prediction of superheat limit temperatures for fuel mixtures using quantitative structure-property relationship model Journal of Loss Prevention in the Process Industries. 64: 104087. DOI: 10.1016/J.Jlp.2020.104087 |
0.578 |
|
2019 |
Wang B, Xu K, Wang Q. Prediction of upper flammability limits for fuel mixtures using quantitative structure–property relationship models Chemical Engineering Communications. 206: 247-253. DOI: 10.1080/00986445.2018.1483350 |
0.553 |
|
2018 |
Wang Y, Xu K, Wang B, Wang Q. Hydrogen inhibition by using Cr(NO3)3·9H2O in the wet dust removal system for the treatment of aluminum dust International Journal of Hydrogen Energy. 43: 2514-2523. DOI: 10.1016/J.Ijhydene.2017.12.065 |
0.637 |
|
2018 |
Chen J, Wang J, Wang B, Liu R, Wang Q. An experimental study of visibility effect on evacuation speed on stairs Fire Safety Journal. 96: 189-202. DOI: 10.1016/J.Firesaf.2017.11.010 |
0.409 |
|
2018 |
Wang B, Park H, Xu K, Wang Q. Prediction of lower flammability limits of blended gases based on quantitative structure–property relationship Journal of Thermal Analysis and Calorimetry. 132: 1125-1130. DOI: 10.1007/S10973-017-6941-9 |
0.574 |
|
2017 |
Zhou L, Wang B, Jiang J, Pan Y, Wang Q. Quantitative structure-property relationship (QSPR) study for predicting gas-liquid critical temperatures of organic compounds Thermochimica Acta. 655: 112-116. DOI: 10.1016/J.Tca.2017.06.021 |
0.553 |
|
2017 |
Wang W, Shen K, Wang B, Dong C, Khan F, Wang Q. Failure probability analysis of the urban buried gas pipelines using Bayesian networks Process Safety and Environmental Protection. 111: 678-686. DOI: 10.1016/J.Psep.2017.08.040 |
0.464 |
|
2017 |
Wang B, Zhou L, Xu K, Wang Q. Fast prediction of minimum ignition energy from molecular structure using simple QSPR model Journal of Loss Prevention in the Process Industries. 50: 290-294. DOI: 10.1016/J.Jlp.2017.10.010 |
0.574 |
|
2017 |
Zhou L, Wang B, Jiang J, Pan Y, Wang Q. Predicting the gas-liquid critical temperature of binary mixtures based on the quantitative structure property relationship Chemometrics and Intelligent Laboratory Systems. 167: 190-195. DOI: 10.1016/J.Chemolab.2017.06.009 |
0.564 |
|
2016 |
Wang B, Zhou L, Xu K, Wang Q. Prediction of Minimum Ignition Energy from Molecular Structure Using Quantitative Structure–Property Relationship (QSPR) Models Industrial & Engineering Chemistry Research. 56: 47-51. DOI: 10.1021/Acs.Iecr.6B04347 |
0.568 |
|
2016 |
Narayan A, Wang B, Nava Medina IB, Mannan MS, Cheng Z, Wang Q. Prediction of heat of formation for exo -Dicyclopentadiene Journal of Loss Prevention in the Process Industries. 44: 433-439. DOI: 10.1016/J.Jlp.2016.10.015 |
0.489 |
|
2016 |
Wang B, Yi H, Xu K, Wang Q. Prediction of the self-accelerating decomposition temperature of organic peroxides using QSPR models Journal of Thermal Analysis and Calorimetry. 128: 399-406. DOI: 10.1007/S10973-016-5922-8 |
0.674 |
|
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