| A new method for stabilization of networked control systems with random delays L Zhang, Y Shi, T Chen, B Huang IEEE Transactions on automatic control 50 (8), 1177-1181, 2005 | 1036 | 2005 |
| Data mining and analytics in the process industry: the role of machine learning Z Ge, Z Song, SX Ding, B Huang IEEE Access 5, 20590-20616, 2017 | 698 | 2017 |
| Performance assessment of control loops: theory and applications B Huang, SL Shah Springer Science & Business Media, 1999 | 677 | 1999 |
| Dynamic modeling, predictive control and performance monitoring: A data-driven subspace approach B Huang, R Kadali Springer, 2008 | 369 | 2008 |
| Deep learning-based feature representation and its application for soft sensor modeling with variable-wise weighted SAE X Yuan, B Huang, Y Wang, C Yang, W Gui IEEE Transactions on Industrial Informatics 14 (7), 3235-3243, 2018 | 350 | 2018 |
| Good, bad or optimal? Performance assessment of multivariable processes B Huang, SL Shah, EK Kwok Automatica 33 (6), 1175-1183, 1997 | 339 | 1997 |
| Detection of multiple oscillations in control loops NF Thornhill, B Huang, H Zhang Journal of Process Control 13 (1), 91-100, 2003 | 323 | 2003 |
| Subspace method aided data-driven design of fault detection and isolation systems SX Ding, P Zhang, A Naik, EL Ding, B Huang Journal of process control 19 (9), 1496-1510, 2009 | 316 | 2009 |
| Performance-driven distributed PCA process monitoring based on fault-relevant variable selection and Bayesian inference Q Jiang, X Yan, B Huang IEEE Transactions on Industrial Electronics 63 (1), 377-386, 2015 | 280 | 2015 |
| Detection and diagnosis of stiction in control loops: state of the art and advanced methods M Jelali, B Huang Springer, 2010 | 232 | 2010 |
| Robust reliable control for a class of uncertain nonlinear state-delayed systems Z Wang, B Huang, H Unbehauen Automatica 35 (5), 955-963, 1999 | 215 | 1999 |
| Design of inferential sensors in the process industry: A review of Bayesian methods S Khatibisepehr, B Huang, S Khare Journal of Process Control 23 (10), 1575-1596, 2013 | 209 | 2013 |
| A data driven subspace approach to predictive controller design R Kadali, B Huang, A Rossiter Control engineering practice 11 (3), 261-278, 2003 | 206 | 2003 |
| H∞ model reduction of Markovian jump linear systems L Zhang, B Huang, J Lam Systems & Control Letters 50 (2), 103-118, 2003 | 204 | 2003 |
| Closed-loop subspace identification: an orthogonal projection approach B Huang, SX Ding, SJ Qin Journal of process control 15 (1), 53-66, 2005 | 196 | 2005 |
| Spectral principal component analysis of dynamic process data NF Thornhill, SL Shah, B Huang, A Vishnubhotla Control Engineering Practice 10 (8), 833-846, 2002 | 181 | 2002 |
| Review and perspectives of data-driven distributed monitoring for industrial plant-wide processes Q Jiang, X Yan, B Huang Industrial & Engineering Chemistry Research 58 (29), 12899-12912, 2019 | 168 | 2019 |
| A full‐condition monitoring method for nonstationary dynamic chemical processes with cointegration and slow feature analysis C Zhao, B Huang AIChE Journal 64 (5), 1662-1681, 2018 | 164 | 2018 |
| Robust H∞ observer design of linear state delayed systems with parametric uncertainty: the discrete-time case Z Wang, B Huang, H Unbehauen Automatica 35 (6), 1161-1167, 1999 | 162 | 1999 |
| Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008–2017 Y Wang, Y Si, B Huang, Z Lou The Canadian Journal of Chemical Engineering 96 (10), 2073-2085, 2018 | 157 | 2018 |
