| Soft sensing modeling based on support vector machine and Bayesian model selection W Yan, H Shao, X Wang Computers & chemical engineering 28 (8), 1489-1498, 2004 | 431 | 2004 |
| A data-driven soft sensor modeling method based on deep learning and its application W Yan, D Tang, Y Lin IEEE Transactions on Industrial Electronics 64 (5), 4237-4245, 2016 | 281 | 2016 |
| Nonlinear multivariate quality estimation and prediction based on kernel partial least squares X Zhang, W Yan, H Shao Industrial & engineering chemistry research 47 (4), 1120-1131, 2008 | 80 | 2008 |
| Application of support vector machine nonlinear classifier to fault diagnoses W Yan, H Shao Proceedings of the 4th world congress on intelligent control and automation …, 2002 | 74 | 2002 |
| Comprehensive assessment and visualized monitoring of urban drinking water quality W Yan, J Li, X Bai Chemometrics and intelligent laboratory systems 155, 26-35, 2016 | 50 | 2016 |
| Nonlinear biological batch process monitoring and fault identification based on kernel fisher discriminant analysis X Zhang, W Yan, X Zhao, H Shao Process biochemistry 42 (8), 1200-1210, 2007 | 44 | 2007 |
| Application of support vector machines and least squares support vector machines to heart disease diagnoses WW Yan, HH Shao Control and decision 18 (3), 358-360, 2003 | 43 | 2003 |
| Scheduling a two-stage no-wait hybrid flowshop with separated setup and removal times J Chang, W Yan, H Shao Proceedings of the 2004 American Control Conference 2, 1412-1416, 2004 | 29 | 2004 |
| Multi-model predictive control of ultra-supercritical coal-fired power unit G Wang, W Yan, S Chen, X Zhang, H Shao Chinese Journal of Chemical Engineering 22 (7), 782-787, 2014 | 28 | 2014 |
| Spatial-statistical local approach for improved manifold-based process monitoring N Li, W Yan, Y Yang Industrial & Engineering Chemistry Research 54 (34), 8509-8519, 2015 | 24 | 2015 |
| Soft sensor modeling based on support vector machines WW Yan, HD Zhu, HH Shao Journal of System Simulation 15 (10), 1494-1496, 2003 | 24 | 2003 |
| Least square SVM regression method based on sliding time window and its simulation W Yan, J Chang, H Shao JOURNAL-SHANGHAI JIAOTONG UNIVERSITY-CHINESE EDITION- 38 (4), 0524-0526, 2004 | 23 | 2004 |
| Application of support vector machines and least squares support vector machines to heart disease diagnoses Y Weiwu, S Huihe Control and Decision 18 (3), 358-360, 2003 | 21 | 2003 |
| Soft sensor modeling based on support vector machines Y Weiwu, Z Hongdong, S Hui-He Journal of system simulation 15 (10), 1494-1496, 2003 | 17 | 2003 |
| Time series forecasting based on seasonality modeling and its application to electricity price forecasting X Ren-Chao, Y Wei-Wu, W Guo-Liang, Y Jian-Cheng, Z Xi Acta Automatica Sinica 46 (6), 1136-1144, 2020 | 15 | 2020 |
| Monitoring and fault diagnosis for batch process based on feature extract in Fisher subspace Z Xu, YAN Weiwu, S Huihe Chinese Journal of Chemical Engineering 14 (6), 759-764, 2006 | 14 | 2006 |
| A novel robust nonlinear dynamic data reconciliation G Qian, Y Weiwu, S Huihe Chinese Journal of Chemical Engineering 15 (5), 698-702, 2007 | 13 | 2007 |
| A novel systematic method of quality monitoring and prediction based on FDA and kernel regression X Zhang, MA Sile, YAN Weiwu, Z Xu, S Huihe Chinese Journal of Chemical Engineering 17 (3), 427-436, 2009 | 10 | 2009 |
| Parallel decision models based on support vector machines and their application to distributed fault diagnosis W Yan, H Shao, X Wang Proceedings of the 2003 American Control Conference, 2003. 2, 1770-1775, 2003 | 10 | 2003 |
| Fault detection and diagnosis for steam turbine based on kernel GDA X Zhang, S Chen, Y Zhu, W Yan Proceedings of 2011 International Conference on Modelling, Identification …, 2011 | 9 | 2011 |
