| Incipient fault detection with smoothing techniques in statistical process monitoring H Ji, X He, J Shang, D Zhou Control Engineering Practice 62, 11-21, 2017 | 174 | 2017 |
| Recursive transformed component statistical analysis for incipient fault detection J Shang, M Chen, H Ji, D Zhou Automatica 80, 313-327, 2017 | 135 | 2017 |
| Fault detection and isolation of the brake cylinder system for electric multiple units D Zhou, H Ji, X He, J Shang IEEE Transactions on Control Systems Technology 26 (5), 1744-1757, 2017 | 86 | 2017 |
| Worst-case stealthy innovation-based linear attacks on remote state estimation under Kullback–Leibler divergence J Shang, H Yu, T Chen IEEE Transactions on Automatic Control 67 (11), 6082-6089, 2022 | 61 | 2022 |
| Optimal stealthy integrity attacks on remote state estimation: The maximum utilization of historical data J Shang, T Chen Automatica 128, 109555, 2021 | 60 | 2021 |
| Incipient sensor fault diagnosis using moving window reconstruction-based contribution H Ji, X He, J Shang, D Zhou Industrial & Engineering Chemistry Research 55 (10), 2746-2759, 2016 | 57 | 2016 |
| Optimal linear encryption against stealthy attacks on remote state estimation J Shang, M Chen, T Chen IEEE Transactions on Automatic Control 66 (8), 3592-3607, 2021 | 55 | 2021 |
| Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes J Shang, M Chen, H Zhang Computers & Chemical Engineering 109, 311-321, 2018 | 54 | 2018 |
| Principal component analysis-based ensemble detector for incipient faults in dynamic processes D Liu, J Shang, M Chen IEEE Transactions on Industrial Informatics 17 (8), 5391-5401, 2021 | 50 | 2021 |
| Dominant trend based logistic regression for fault diagnosis in nonstationary processes J Shang, M Chen, H Ji, D Zhou, H Zhang, M Li Control Engineering Practice 66, 156-168, 2017 | 50 | 2017 |
| Recursive dynamic transformed component statistical analysis for fault detection in dynamic processes J Shang, M Chen IEEE Transactions on Industrial Electronics 65 (1), 578-588, 2017 | 48 | 2017 |
| Early classification of alarm floods via exponentially attenuated component analysis J Shang, T Chen IEEE Transactions on Industrial Electronics 67 (10), 8702-8712, 2020 | 45 | 2020 |
| FBM-based remaining useful life prediction for degradation processes with long-range dependence and multiple modes H Zhang, D Zhou, M Chen, J Shang IEEE Transactions on Reliability 68 (3), 1021-1033, 2019 | 37 | 2019 |
| Early classification of industrial alarm floods based on semisupervised learning HS Alinezhad, J Shang, T Chen IEEE Transactions on Industrial Informatics 18 (3), 1845-1853, 2022 | 36 | 2022 |
| Nonstationary process monitoring for blast furnaces based on consistent trend feature analysis H Zhang, J Shang, J Zhang, C Yang IEEE Transactions on Control Systems Technology 30 (3), 1257-1267, 2022 | 36 | 2022 |
| On stochastic and deterministic event-based state estimation H Yu, J Shang, T Chen Automatica 123, 109314, 2021 | 35 | 2021 |
| Optimal DoS attack against LQR control channels J Zhou, J Shang, Y Li, T Chen IEEE Transactions on Circuits and Systems II: Express Briefs 68 (4), 1348-1352, 2021 | 35 | 2021 |
| Exponential smoothing reconstruction approach for incipient fault isolation H Ji, X He, J Shang, D Zhou Industrial & Engineering Chemistry Research 57 (18), 6353-6363, 2018 | 33 | 2018 |
| Stochastic process-based degradation modeling and RUL prediction: From Brownian motion to fractional Brownian motion H Zhang, M Chen, J Shang, C Yang, Y Sun Science China Information Sciences 64 (171201), 1-20, 2021 | 31 | 2021 |
| Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis J Shang, D Zhou, M Chen, H Ji, H Zhang Journal of Process Control 77, 7-19, 2019 | 29 | 2019 |
