| 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 | 214 | 2018 |
| Key-performance-indicator-related process monitoring based on improved kernel partial least squares Y Si, Y Wang, D Zhou IEEE Transactions on Industrial Electronics 68 (3), 2626-2636, 2020 | 177 | 2020 |
| Multistep dynamic slow feature analysis for industrial process monitoring X Ma, Y Si, Z Yuan, Y Qin, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (12), 9535-9548, 2020 | 103 | 2020 |
| A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis Z Lou, Y Wang, Y Si, S Lu Automatica 138, 110148, 2022 | 79 | 2022 |
| Length of stay prediction for ICU patients using individualized single classification algorithm X Ma, Y Si, Z Wang, Y Wang Computer methods and programs in biomedicine 186, 105224, 2020 | 67 | 2020 |
| Fault detection for dynamic processes based on recursive innovational component statistical analysis X Ma, Y Si, Y Qin, Y Wang IEEE Transactions on Automation Science and Engineering 20 (1), 310-319, 2022 | 40 | 2022 |
| Capacity optimization configuration of live gas storage system in independent power systems H Fu, J Wang, Y Cui, Y Si, D Xia, X Ma International Journal of Thermofluids 21, 100526, 2024 | 2 | 2024 |
| Two-step dynamic slow feature analysis for dynamic process monitoring Y Si, Y Wang 2019 1st International Conference on Industrial Artificial Intelligence (IAI …, 2019 | 2 | 2019 |
| Recursive Innovational Component Statistical Analysis for Fault Detection in Dynamic Processes Y Si, X Ma, B Li, Y Tang, Y Wang 2021 40th Chinese Control Conference (CCC), 4425-4430, 2021 | | 2021 |
| Transient Stability Assessment of Power Systems Based on Slow Feature Analysis Y Si, D Liu, H Yang, Z Li, Y Wang 2019 Chinese Control Conference (CCC), 7334-7339, 2019 | | 2019 |