| 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 | 47 | 2018 |
| Predicting the viscosity of ionic liquids by the ELM intelligence algorithm X Kang, Z Zhao, J Qian, R Muhammad Afzal Industrial & Engineering Chemistry Research 56 (39), 11344-11351, 2017 | 47 | 2017 |
| 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 |
| 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 | 35 | 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 | 35 | 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 | 28 | 2018 |
| Assessing the ecotoxicity of ionic liquids on Vibrio fischeri using electrostatic potential descriptors X Kang, Z Chen, Y Zhao Journal of hazardous materials 397, 122761, 2020 | 22 | 2020 |
| The fate of anaerobic syntrophy in anaerobic digestion facing propionate and acetate accumulation Y Yue, J Wang, X Wu, J Zhang, Z Chen, X Kang, Z Lv Waste Management 124, 128-135, 2021 | 20 | 2021 |
| 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 | 20 | 2018 |
| Research of QSPR/QSAR for ionic liquids Y Zhao, X Zhang, J Zhao, H Zhang, X Kang, F Dong Progress in Chemistry 24 (07), 1236, 2012 | 18 | 2012 |
| Prediction of ammonia absorption in ionic liquids based on extreme learning machine modelling and a novel molecular descriptor SEP X Kang, Z Lv, Z Chen, Y Zhao Environmental Research 189, 109951, 2020 | 13 | 2020 |
| A Reliable Database for Ionic Volume and Surface: Its Application To Predict Molar Volume and Density of Ionic Liquid P Zhu, X Kang, U Latif, M Gong, Y Zhao Industrial & Engineering Chemistry Research 58 (23), 10073-10083, 2019 | 13 | 2019 |
| Atom surface fragment contribution method for predicting the toxicity of ionic liquids X Kang, Y Zhao, Z Chen Journal of Hazardous Materials 421, 126705, 2022 | 9 | 2022 |
| A QSPR model for estimating Henry’s law constant of H2S in ionic liquids by ELM algorithm X Kang, Z Lv, Y Zhao, Z Chen Chemosphere 269, 128743, 2021 | 9 | 2021 |
| Extreme learning machine models for predicting the n-octanol/water partition coefficient (Kow) data of organic compounds X Kang, B Hu, MC Perdana, Y Zhao, Z Chen Journal of Environmental Chemical Engineering 10 (6), 108552, 2022 | 7 | 2022 |
| Preparation of Ordered TiO2 Macroporous Membrane Using PBMA Colloid Crystal as Template HZ Zhang, F Dong, SN Zhai, XJ Kang, SM Fang Advanced Materials Research 399, 677-682, 2012 | 6 | 2012 |
| Application of atomic electrostatic potential descriptors for predicting the eco-toxicity of ionic liquids towards leukemia rat cell line X Kang, Y Zhao, H Zhang, Z Chen Chemical Engineering Science 260, 117941, 2022 | 2 | 2022 |
| Enhancement effect of biomass-derived Carbon Quantum Dots (CQDs) on the performance of Dye-Sensitized Solar Cells (DSSCs) R Paneru, X Kang, S Budhathoki, Z Chen, Q Yang, ST Tjeng, Q Dai, ... Journal of Environmental Sciences, 2024 | 1 | 2024 |
