Fault diagnosis of batch chemical processes using a dynamic time warping (DTW)-based artificial immune system Y Dai, J Zhao Industrial & Engineering Chemistry Research 50 (8), 4534-4544, 2011 | 69 | 2011 |
Abnormal situation management for smart chemical process operation Y Dai, H Wang, F Khan, J Zhao Current opinion in chemical engineering 14, 49-55, 2016 | 44 | 2016 |
Integrating feature optimization using a dynamic convolutional neural network for chemical process supervised fault classification L Deng, Y Zhang, Y Dai, X Ji, L Zhou, Y Dang Process Safety and Environmental Protection 155, 473-485, 2021 | 31 | 2021 |
Application of natural language processing in HAZOP reports X Feng, Y Dai, X Ji, L Zhou, Y Dang Process safety and environmental protection 155, 41-48, 2021 | 27 | 2021 |
A novel deep learning model based on target transformer for fault diagnosis of chemical process Z Wei, X Ji, L Zhou, Y Dang, Y Dai Process safety and environmental protection 167, 480-492, 2022 | 26 | 2022 |
Architecture model proposal of innovative intelligent manufacturing in the chemical industry based on multi-scale integration and key technologies G He, Y Dang, L Zhou, Y Dai, Y Que, X Ji Computers & Chemical Engineering 141, 106967, 2020 | 26 | 2020 |
An online fault diagnosis strategy for full operating cycles of chemical processes J Zhao, Y Shu, J Zhu, Y Dai Industrial & Engineering Chemistry Research 53 (13), 5015-5027, 2014 | 26 | 2014 |
Online optimization of Fluid Catalytic Cracking process via a Hybrid model based on Simplified structure-Oriented Lumping and case-based reasoning G He, C Zhou, T Luo, L Zhou, Y Dai, Y Dang, X Ji Industrial & Engineering Chemistry Research 60 (1), 412-424, 2020 | 22 | 2020 |
Developing ladder network for intelligent evaluation system: Case of remaining useful life prediction for centrifugal pumps R He, Y Dai, J Lu, C Mou Reliability Engineering & System Safety 180, 385-393, 2018 | 20 | 2018 |
Comprehensive machine learning-based model for predicting compressive strength of ready-mix concrete J Xu, L Zhou, G He, X Ji, Y Dai, Y Dang Materials 14 (5), 1068, 2021 | 17 | 2021 |
Adaptive modeling strategy integrating feature selection and random forest for fluid catalytic cracking processes C Chen, L Zhou, X Ji, G He, Y Dai, Y Dang Industrial & Engineering Chemistry Research 59 (24), 11265-11274, 2020 | 16 | 2020 |
Attention-based long short-term memory fully convolutional network for chemical process fault diagnosis S Xiong, L Zhou, Y Dai, X Ji Chinese Journal of Chemical Engineering 56, 1-14, 2023 | 15 | 2023 |
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 | 14 | 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 | 14 | 2022 |
Adaptive data dimensionality reduction for chemical process modeling based on the information criterion related to data association and redundancy L Luo, G He, C Chen, X Ji, L Zhou, Y Dai, Y Dang Industrial & Engineering Chemistry Research 61 (2), 1148-1166, 2022 | 13 | 2022 |
Deep-learning architecture in QSPR modeling for the prediction of energy conversion efficiency of solar cells J Wu, S Wang, L Zhou, X Ji, Y Dai, Y Dang, M Kraft Industrial & Engineering Chemistry Research 59 (42), 18991-19000, 2020 | 13 | 2020 |
Gated recurrent unit-enhanced deep convolutional neural network for real-time industrial process fault diagnosis J Zhang, M Zhang, Z Feng, LV Ruifang, C Lu, Y Dai, L Dong Process Safety and Environmental Protection 175, 129-149, 2023 | 12 | 2023 |
Improved random forest algorithm based on decision paths for fault diagnosis of chemical process with incomplete data Y Zhang, L Luo, X Ji, Y Dai Sensors 21 (20), 6715, 2021 | 12 | 2021 |
Troger’s base polymeric membranes for CO2 separation: a review Z Dai, Q Xu, B Xin, J Wei, Y Ma, Z Qin, C Feng, S Yi, N Li, K Li, F Wang, ... Journal of Materials Chemistry A, 2023 | 11 | 2023 |
A stacked auto-encoder based fault diagnosis model for chemical process Y Qiu, Y Dai Computer Aided Chemical Engineering 46, 1303-1308, 2019 | 11 | 2019 |