| A comprehensive hybrid first principles/machine learning modeling framework for complex industrial processes B Sun, C Yang, Y Wang, W Gui, I Craig, L Olivier Journal of Process Control 86, 30-43, 2020 | 76 | 2020 |
| An integrated prediction model of cobalt ion concentration based on oxidation–reduction potential B Sun, WH Gui, TB Wu, YL Wang, CH Yang Hydrometallurgy 140, 102-110, 2013 | 48 | 2013 |
| U-neural network-enhanced control of nonlinear dynamic systems Q Zhu, W Zhang, J Zhang, B Sun Neurocomputing 352, 12-21, 2019 | 47 | 2019 |
| Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring B Xiao, Y Li, B Sun, C Yang, K Huang, H Zhu Process Safety and Environmental Protection 151, 85-100, 2021 | 45 | 2021 |
| Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion Y Wang, H Xia, X Yuan, L Li, B Sun Multimedia Tools and Applications 77, 16741-16770, 2018 | 43 | 2018 |
| Adaptive multimode process monitoring based on mode-matching and similarity-preserving dictionary learning K Huang, Z Tao, Y Liu, B Sun, C Yang, W Gui, S Hu IEEE transactions on cybernetics, 2022 | 35 | 2022 |
| Intelligent optimal setting control of a cobalt removal process B Sun, WH Gui, YL Wang, CH Yang Journal of Process Control 24 (5), 586-599, 2014 | 34 | 2014 |
| Modeling, optimization and control of solution purification process in zinc hydrometallurgy B Sun, C Yang, H Zhu, Y Li, W Gui IEEE/CAA Journal of Automatica Sinica 5 (2), 564-576, 2018 | 32 | 2018 |
| A data-driven optimal control approach for solution purification process B Sun, M He, Y Wang, W Gui, C Yang, Q Zhu Journal of Process Control 68, 171-185, 2018 | 28 | 2018 |
| Perspective for equipment automation in process industries B Sun, SL Jämsä-Jounela, Y Todorov, LE Olivier, IK Craig IFAC-PapersOnLine 50 (2), 65-70, 2017 | 25 | 2017 |
| A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster Z Feng, Y Li, B Sun, C Yang, H Zhu, Z Chen Journal of Process control 97, 59-71, 2021 | 24 | 2021 |
| Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning X Shi, Y Li, B Sun, H Xu, C Yang, H Zhu Neurocomputing 380, 190-200, 2020 | 24 | 2020 |
| A gradient optimization scheme for solution purification process B Sun, W Gui, Y Wang, C Yang, M He Control Engineering Practice 44, 89-103, 2015 | 24 | 2015 |
| A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes Z Feng, Y Li, B Sun, C Yang, T Huang Information Sciences 596, 489-500, 2022 | 22 | 2022 |
| Adaptive process monitoring via online dictionary learning and its industrial application K Huang, Y Wu, C Long, H Ji, B Sun, X Chen, C Yang ISA transactions 114, 399-412, 2021 | 21 | 2021 |
| On the current state of flotation modelling for process control DJ Oosthuizen, IK Craig, SL Jämsä-Jounela, B Sun IFAC-PapersOnLine 50 (2), 19-24, 2017 | 21 | 2017 |
| Metric learning-based fault diagnosis and anomaly detection for industrial data with intraclass variance K Huang, S Wu, B Sun, C Yang, W Gui IEEE Transactions on Neural Networks and Learning Systems, 2022 | 19 | 2022 |
| Industrial process modeling and monitoring based on jointly specific and shared dictionary learning K Huang, Z Tao, B Sun, C Yang, W Gui IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2021 | 19 | 2021 |
| Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network X Shi, Y Li, Y Yang, B Sun, F Qi Information Sciences 580, 917-933, 2021 | 18 | 2021 |
| Discussion on Modeling and Optimal Control of Nonferrous Metallurgical Purification Process B Sun, B Zhang, C Yang, W Gui Acta Automatica Sinica 43 (6), 880-892, 2017 | 18* | 2017 |
Ian K CraigUniversity of PretoriaVerified email at up.ac.za
