| Toxicity of ionic liquids: database and prediction via quantitative structure–activity relationship method Y Zhao, J Zhao, Y Huang, Q Zhou, X Zhang, S Zhang Journal of hazardous materials 278, 320-329, 2014 | 168 | 2014 |
| Ionic liquid design and process simulation for decarbonization of shale gas X Liu, Y Huang, Y Zhao, R Gani, X Zhang, S Zhang Industrial & Engineering Chemistry Research 55 (20), 5931-5944, 2016 | 107 | 2016 |
| Using machine learning and quantum chemistry descriptors to predict the toxicity of ionic liquids L Cao, P Zhu, Y Zhao, J Zhao Journal of hazardous materials 352, 17-26, 2018 | 102 | 2018 |
| A quantitative prediction of the viscosity of ionic liquids using S σ-profile molecular descriptors Y Zhao, Y Huang, X Zhang, S Zhang Physical Chemistry Chemical Physics 17 (5), 3761-3767, 2015 | 101 | 2015 |
| Ionic liquids for absorption and separation of gases: An extensive database and a systematic screening method Y Zhao, R Gani, RM Afzal, X Zhang, S Zhang AIChE Journal 63 (4), 1353-1367, 2017 | 97 | 2017 |
| Efficient Absorption of CO2 by Introduction of Intramolecular Hydrogen Bonding in Chiral Amino Acid Ionic Liquids M Pan, Y Zhao, X Zeng, J Zou Energy & fuels 32 (5), 6130-6135, 2018 | 58 | 2018 |
| Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms Y Zhao, X Zhang, L Deng, S Zhang Computers & Chemical Engineering 92, 37-42, 2016 | 56 | 2016 |
| Predicting H 2 S solubility in ionic liquids by the quantitative structure–property relationship method using S σ-profile molecular descriptors Y Zhao, J Gao, Y Huang, RM Afzal, X Zhang, S Zhang RSC Advances 6 (74), 70405-70413, 2016 | 47 | 2016 |
| Gas separation by ionic liquids: A theoretical study Y Zhao, M Pan, X Kang, W Tu, H Gao, X Zhang Chemical Engineering Science 189, 43-55, 2018 | 45 | 2018 |
| Hydrogen sulfide solubility in ionic liquids (ILs): an extensive database and a new ELM model mainly established by imidazolium-based ILs Y Zhao, H Gao, X Zhang, Y Huang, D Bao, S Zhang Journal of Chemical & Engineering Data 61 (12), 3970-3978, 2016 | 41 | 2016 |
| Predicting the Toxicity of Ionic Liquids toward Acetylcholinesterase Enzymes Using Novel QSAR Models P Zhu, X Kang, Y Zhao, U Latif, H Zhang International journal of molecular sciences 20 (9), 2186, 2019 | 40 | 2019 |
| Estimation of Heat Capacity of Ionic Liquids Using S σ-profile Molecular Descriptors Y Zhao, S Zeng, Y Huang, RM Afzal, X Zhang Industrial & Engineering Chemistry Research 54 (51), 12987-12992, 2015 | 37 | 2015 |
| New models for predicting thermophysical properties of ionic liquid mixtures Y Huang, X Zhang, Y Zhao, S Zeng, H Dong, S Zhang Physical Chemistry Chemical Physics 17 (40), 26918-26929, 2015 | 37 | 2015 |
| Solubility of CO2 and H2S in carbonates solvent: Experiment and quantum chemistry calculation Z Zhao, X Xing, Z Tang, Y Zhao, W Fei, X Liang, Z He, S Zhang, D Guo International Journal of Greenhouse Gas Control 59, 123-135, 2017 | 35 | 2017 |
| Prediction of Henry's law constant of CO2 in ionic liquids based on SEP and Sσ-profile molecular descriptors X Kang, C Liu, S Zeng, Z Zhao, J Qian, Y Zhao Journal of Molecular Liquids 262, 139-147, 2018 | 33 | 2018 |
| Predicting refractive index of ionic liquids based on the extreme learning machine (ELM) intelligence algorithm X Kang, Y Zhao, J Li Journal of Molecular Liquids 250, 44-49, 2018 | 32 | 2018 |
| Novel molecular descriptors for prediction of H2S solubility in ionic liquids X Kang, J Qian, J Deng, U Latif, Y Zhao Journal of Molecular Liquids 265, 756-764, 2018 | 27 | 2018 |
| Density Prediction of Mixtures of Ionic Liquids and Molecular Solvents Using Two New Generalized Models Y Huang, Y Zhao, S Zeng, X Zhang, S Zhang Industrial & Engineering Chemistry Research 53 (39), 15270-15277, 2014 | 27 | 2014 |
| Experimental and simulation study of CO2 and H2S solubility in propylene carbonate, imidazolium-based ionic liquids and their mixtures Z Zhao, Y Huang, Z Zhang, W Fei, M Luo, Y Zhao The Journal of Chemical Thermodynamics 142, 106017, 2020 | 24 | 2020 |
| Heat capacity prediction of ionic liquids based on quantum chemistry descriptors X Kang, X Liu, J Li, Y Zhao, H Zhang Industrial & Engineering Chemistry Research 57 (49), 16989-16994, 2018 | 19 | 2018 |
