| Tools and techniques for solvent selection: green solvent selection guides Fergal P. Byrne, Saimeng Jin, Giulia Paggiola, Tabitha H. M. Petchey, James ... Sustainable Chemical Processes 4, 7, 2016 | 1220* | 2016 |
| Optimization and control of energy saving side-stream extractive distillation with heat integration for separating ethyl acetate-ethanol azeotrope T Shi, W Chun, A Yang, Y Su, S Jin, J Ren, W Shen Chemical Engineering Science 215, 115373, 2020 | 101 | 2020 |
| Investigation of an energy-saving double-thermally coupled extractive distillation for separating ternary system benzene/toluene/cyclohexane A Yang, Y Su, IL Chien, S Jin, C Yan, W Shen Energy 186, 115756, 2019 | 93 | 2019 |
| HKUST-1 MOFs decorated 3D copper foam with superhydrophobicity/superoleophilicity for durable oil/water separation J Du, C Zhang, H Pu, Y Li, S Jin, L Tan, C Zhou, L Dong Colloids and Surfaces A: Physicochemical and Engineering Aspects 573, 222-229, 2019 | 87 | 2019 |
| Systematic approach for screening organic and ionic liquid solvents in homogeneous extractive distillation exemplified by the tert-butanol dehydration Y Hu, Y Su, S Jin, IL Chien, W Shen Separation and Purification Technology 211, 723-737, 2019 | 86 | 2019 |
| An architecture of deep learning in QSPR modeling for the prediction of critical properties using molecular signatures Y Su, Z Wang, S Jin, W Shen, J Ren, MR Eden AIChE Journal 65 (9), e16678, 2019 | 85 | 2019 |
| Investigation of energy-saving azeotropic dividing wall column to achieve cleaner production via heat exchanger network and heat pump technique A Yang, S Jin, W Shen, P Cui, IL Chien, J Ren Journal of Cleaner Production 234, 410-422, 2019 | 84 | 2019 |
| Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation Y Su, A Yang, S Jin, W Shen, P Cui, J Ren Journal of cleaner production 273, 123145, 2020 | 83 | 2020 |
| Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm Y Su, S Jin, X Zhang, W Shen, MR Eden, J Ren Computers & Chemical Engineering 132, 106618, 2020 | 71 | 2020 |
| Predictive deep learning models for environmental properties: the direct calculation of octanol–water partition coefficients from molecular graphs Z Wang, Y Su, W Shen, S Jin, JH Clark, J Ren, X Zhang Green chemistry 21 (16), 4555-4565, 2019 | 71 | 2019 |
| Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluent A Yang, Y Su, L Teng, S Jin, T Zhou, W Shen Separation and Purification Technology 250, 117210, 2020 | 64 | 2020 |
| Comparative optimal design and control of two alternative approaches for separating heterogeneous mixtures isopropyl alcohol-isopropyl acetate-water with four azeotropes T Shi, A Yang, S Jin, W Shen, J Ren Separation and Purification Technology 225, 1-17, 2019 | 44 | 2019 |
| Challenges in the development of bio-based solvents: a case study on methyl (2, 2-dimethyl-1, 3-dioxolan-4-yl) methyl carbonate as an alternative aprotic solvent S Jin, F Byrne, CR McElroy, J Sherwood, JH Clark, AJ Hunt Faraday Discussions 202, 157-173, 2017 | 44 | 2017 |
| Design and optimization of the efficient extractive distillation process for separating the binary azeotropic mixture methanol-acetone based on the quantum chemistry and … Y Hu, F Li, S Wei, S Jin, W Shen Separation and Purification Technology 242, 116829, 2020 | 43 | 2020 |
| Acid-catalysed carboxymethylation, methylation and dehydration of alcohols and phenols with dimethyl carbonate under mild conditions S Jin, AJ Hunt, JH Clark, CR McElroy Green chemistry 18 (21), 5839-5844, 2016 | 43 | 2016 |
| The process control of the triple-column pressure-swing extractive distillation with partial heat integration T Shi, W Chun, A Yang, S Jin, W Shen, J Ren, J Gu Separation and Purification Technology 238, 116416, 2020 | 37 | 2020 |
| A novel unambiguous strategy of molecular feature extraction in machine learning assisted predictive models for environmental properties Z Wang, Y Su, S Jin, W Shen, J Ren, X Zhang, JH Clark Green Chemistry 22 (12), 3867-3876, 2020 | 34 | 2020 |
| Multidimension Insight Involving Experimental and in Silico Investigation into the Corrosion Inhibition of N,N-Dibenzyl Dithiocarbamate Acid on Copper in Sulfuric … F Li, M Bai, S Wei, S Jin, W Shen Industrial & Engineering Chemistry Research 58 (17), 7166-7178, 2019 | 32 | 2019 |
| A systematic modeling methodology of deep neural network‐based structure‐property relationship for rapid and reliable prediction on flashpoints H Wen, Y Su, Z Wang, S Jin, J Ren, W Shen, M Eden AIChE Journal 68 (1), e17402, 2022 | 31 | 2022 |
| An accurate and interpretable deep learning model for environmental properties prediction using hybrid molecular representations J Zhang, Q Wang, Y Su, S Jin, J Ren, M Eden, W Shen AIChE Journal 68 (6), e17634, 2022 | 22 | 2022 |
