| Detecting abnormal situations using the Kullback–Leibler divergence J Zeng, U Kruger, J Geluk, X Wang, L Xie Automatica 50 (11), 2777-2786, 2014 | 106 | 2014 |
| Novel just-in-time learning-based soft sensor utilizing non-Gaussian information L Xie, J Zeng, C Gao IEEE Transactions on Control Systems Technology 22 (1), 360-368, 2013 | 72 | 2013 |
| Improvement of identification of blast furnace ironmaking process by outlier detection and missing value imputation J Zeng, C Gao Journal of Process Control 19 (9), 1519-1528, 2009 | 70 | 2009 |
| Data-driven predictive control for blast furnace ironmaking process J Zeng, C Gao, H Su Computers & Chemical Engineering 34 (11), 1854-1862, 2010 | 66 | 2010 |
| Structured joint sparse principal component analysis for fault detection and isolation Y Liu, J Zeng, L Xie, S Luo, H Su IEEE Transactions on Industrial Informatics 15 (5), 2721-2731, 2018 | 63 | 2018 |
| A chaos‐based iterated multistep predictor for blast furnace ironmaking process C Gao, J Chen, J Zeng, X Liu, Y Sun AIChE journal 55 (4), 947-962, 2009 | 63 | 2009 |
| Application of least squares support vector machines to predict the silicon content in blast furnace hot metal L Jian, C Gao, L Li, J Zeng ISIJ international 48 (11), 1659-1661, 2008 | 61 | 2008 |
| Fault detection in dynamic systems using the Kullback–Leibler divergence L Xie, J Zeng, U Kruger, X Wang, J Geluk Control Engineering Practice 43, 39-48, 2015 | 56 | 2015 |
| Shrinking principal component analysis for enhanced process monitoring and fault isolation L Xie, X Lin, J Zeng Industrial & Engineering Chemistry Research 52 (49), 17475-17486, 2013 | 46 | 2013 |
| Block adaptive kernel principal component analysis for nonlinear process monitoring L Xie, Z Li, J Zeng, U Kruger AIChE Journal 62 (12), 4334-4345, 2016 | 38 | 2016 |
| Identification of the optimal control center for blast furnace thermal state based on the fuzzy C-means clustering S Luo, J Huang, J Zeng, Q Zhang ISIJ international 51 (10), 1668-1673, 2011 | 23 | 2011 |
| A unified probabilistic monitoring framework for multimode processes based on probabilistic linear discriminant analysis Y Liu, J Zeng, J Bao, L Xie IEEE Transactions on Industrial Informatics 16 (10), 6291-6300, 2020 | 22 | 2020 |
| Blast furnace system modeling by multivariate phase space reconstruction and neural networks S Luo, C Gao, J Zeng, J Huang Asian Journal of Control 15 (2), 553-561, 2013 | 22 | 2013 |
| Wiener model identification of blast furnace ironmaking process J Zeng, X Liu, C Gao, S Luo, L Jian ISIJ international 48 (12), 1734-1738, 2008 | 22 | 2008 |
| Fault detection and identification of blast furnace ironmaking process using the gated recurrent unit network H Ouyang, J Zeng, Y Li, S Luo Processes 8 (4), 391, 2020 | 20 | 2020 |
| Nonparametric density estimation of hierarchical probabilistic graph models for assumption-free monitoring J Zeng, S Luo, J Cai, U Kruger, L Xie Industrial & Engineering Chemistry Research 56 (5), 1278-1287, 2017 | 20 | 2017 |
| Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data C Gao, J Zeng, Z Zhou AIChE journal 57 (12), 3448-3458, 2011 | 20 | 2011 |
| Using non‐linear GARCH model to predict silicon content in blast furnace hot metal J Zeng, C Gao, X Liu, K Yang, S Luo Asian Journal of Control 10 (6), 632-637, 2008 | 18 | 2008 |
| Quality-related locally weighted non-Gaussian regression based soft sensing for multimode processes Y He, B Zhu, C Liu, J Zeng Industrial & Engineering Chemistry Research 57 (51), 17452-17461, 2018 | 17 | 2018 |
| Detecting model–plant mismatch of nonlinear multivariate systems using mutual information G Chen, L Xie, J Zeng, J Chu, Y Gu Industrial & Engineering Chemistry Research 52 (5), 1927-1938, 2013 | 16 | 2013 |
Lei XieZhejiang UniversityVerified email at zju.edu.cn
