| Bidirectional recurrent neural network-based chemical process fault diagnosis S Zhang, K Bi, T Qiu Industrial & Engineering Chemistry Research 59 (2), 824-834, 2019 | 99 | 2019 |
| An intelligent SVM modeling process for crude oil properties prediction based on a hybrid GA-PSO method K Bi, T Qiu Chinese Journal of Chemical Engineering 27 (8), 1888-1894, 2019 | 48 | 2019 |
| GC-MS fingerprints profiling using machine learning models for food flavor prediction K Bi, D Zhang, T Qiu, Y Huang Processes 8 (1), 23, 2020 | 30 | 2020 |
| Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: From the perspective of intelligent manufacturing K Bi, S Zhang, C Zhang, H Li, X Huang, H Liu, T Qiu Chinese Journal of Chemical Engineering 38, 1-17, 2021 | 25 | 2021 |
| Integrated modeling of transfer learning and intelligent heuristic optimization for a steam cracking process K Bi, B Beykal, S Avraamidou, I Pappas, EN Pistikopoulos, T Qiu Industrial & engineering chemistry research 59 (37), 16357-16367, 2020 | 24 | 2020 |
| A deep learning method for yogurt preferences prediction using sensory attributes K Bi, T Qiu, Y Huang Processes 8 (5), 518, 2020 | 24 | 2020 |
| Finding the optimal CO2 adsorption material: Prediction of multi-properties of metal-organic frameworks (MOFs) based on DeepFM M Feng, M Cheng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai Separation and Purification Technology 302, 122111, 2022 | 21 | 2022 |
| Novel naphtha molecular reconstruction process using a self-adaptive cloud model and hybrid genetic algorithm–particle swarm optimization algorithm K Bi, T Qiu Industrial & Engineering Chemistry Research 58 (36), 16753-16760, 2019 | 21 | 2019 |
| Droplet in droplet: LBM simulation of modulated liquid mixing Y Fu, L Bai, S Zhao, K Bi, Y Jin, Y Cheng Chemical Engineering Science 155, 428-437, 2016 | 18 | 2016 |
| Numerical study of Janus droplet formation in microchannels by a lattice Boltzmann method Y Fu, L Bai, K Bi, S Zhao, Y Jin, Y Cheng Chemical Engineering and Processing: Process Intensification 119, 34-43, 2017 | 17 | 2017 |
| High-throughput screening of metal–organic frameworks for hydrogen purification S Wang, M Cheng, L Luo, X Ji, C Liu, K Bi, L Zhou Chemical Engineering Journal 451, 138436, 2023 | 15 | 2023 |
| 大规模可再生能源电解水制氢合成氨关键技术与 应用研究进展. 吉旭， 周步祥， 贺革， 邱一苇， 毕可鑫， 周利， 戴一阳 Advanced Engineering Science/Gongcheng Kexue Yu Jishu 54 (5), 2022 | 15 | 2022 |
| High-throughput computational screening of Covalent− Organic framework membranes for helium purification M Feng, M Cheng, J Deng, X Ji, L Zhou, Y Dang, K Bi, Z Dai, Y Dai Results in Engineering 15, 100538, 2022 | 15 | 2022 |
| Extraction and analysis of risk factors from Chinese chemical accident reports X Luo, X Feng, X Ji, Y Dang, L Zhou, K Bi, Y Dai Chinese Journal of Chemical Engineering 61, 68-81, 2023 | 12 | 2023 |
| An ingenious characterization of reaction network using sub-network reconstruction K Bi, C Zhang, T Qiu Computers & Chemical Engineering 134, 106695, 2020 | 11 | 2020 |
| Machine-learning-guided identification of coordination polymer ligands for crystallizing separation of Cs/Sr Z Zhang, M Cheng, X Xiao, K Bi, T Song, K Hu, Y Dai, L Zhou, C Liu, X Ji, ... ACS Applied Materials & Interfaces 14 (29), 33076-33084, 2022 | 8 | 2022 |
| A large-scale screening of metal-organic frameworks for iodine capture combining molecular simulation and machine learning M Cheng, Z Zhang, S Wang, K Bi, K Hu, Z Dai, Y Dai, C Liu, L Zhou, X Ji, ... Frontiers of Environmental Science & Engineering 17 (12), 148, 2023 | 7 | 2023 |
| Machine learning-enabled framework for high-throughput screening of MOFs: application in radon/indoor air separation J Ren, S Wang, K Bi, M Cheng, C Liu, L Zhou, X Xue, X Ji ACS Applied Materials & Interfaces 15 (1), 1305-1316, 2022 | 7 | 2022 |
| High-throughput computational screening of metal-organic frameworks for CH4/H2 separation by synergizing machine learning and molecular simulation W Shihui, X Xiaoyu, C Min, C Shaochen, L Chong, Z Li, B Kexin, J Xu Acta Chimica Sinica 80 (5), 614, 2022 | 7 | 2022 |
| Reaction network simplification and key routes extraction for steam cracking process K Bi, T Chen, T Qiu, X Ji, Y Dai Fuel 352, 129030, 2023 | 6 | 2023 |
Shuyuan ZhangUniversity of CambridgePreverjeni e-poštni naslov na cam.ac.uk
