| A survey on multistage/multiphase statistical modeling methods for batch processes Y Yao, F Gao Annual Reviews in Control 33 (2), 172-183, 2009 | 252 | 2009 |
| Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes Y Liu, C Yang, Z Gao, Y Yao Chemometrics and Intelligent Laboratory Systems 174, 15-21, 2018 | 191 | 2018 |
| Domain adaptation transfer learning soft sensor for product quality prediction Y Liu, C Yang, K Liu, B Chen, Y Yao Chemometrics and Intelligent Laboratory Systems 192, 103813, 2019 | 135 | 2019 |
| Two‐dimensional dynamic PCA for batch process monitoring N Lu, Y Yao, F Gao, F Wang AIChE Journal 51 (12), 3300-3304, 2005 | 120 | 2005 |
| Generative principal component thermography for enhanced defect detection and analysis K Liu, Y Li, J Yang, Y Liu, Y Yao IEEE Transactions on Instrumentation and Measurement 69 (10), 8261-8269, 2020 | 116 | 2020 |
| Phase and transition based batch process modeling and online monitoring Y Yao, F Gao Journal of Process Control 19 (5), 816-826, 2009 | 116 | 2009 |
| Sparse principal component thermography for subsurface defect detection in composite products JY Wu, S Sfarra, Y Yao IEEE transactions on industrial informatics 14 (12), 5594-5600, 2018 | 113 | 2018 |
| Statistical analysis and online monitoring for multimode processes with between-mode transitions C Zhao, Y Yao, F Gao, F Wang Chemical Engineering Science 65 (22), 5961-5975, 2010 | 111 | 2010 |
| A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes J Qian, Z Song, Y Yao, Z Zhu, X Zhang Chemometrics and Intelligent Laboratory Systems 231, 104711, 2022 | 91 | 2022 |
| Variable selection method for fault isolation using least absolute shrinkage and selection operator (LASSO) Z Yan, Y Yao Chemometrics and Intelligent Laboratory Systems 146, 136-146, 2015 | 87 | 2015 |
| Systematic procedure for Granger-causality-based root cause diagnosis of chemical process faults HS Chen, Z Yan, Y Yao, TB Huang, YS Wong Industrial & Engineering Chemistry Research 57 (29), 9500-9512, 2018 | 74 | 2018 |
| Deep autoencoder thermography for defect detection of carbon fiber composites K Liu, M Zheng, Y Liu, J Yang, Y Yao IEEE Transactions on Industrial Informatics 19 (5), 6429-6438, 2022 | 72 | 2022 |
| Widespread occurrence of distinct alkenones from Group I haptophytes in freshwater lakes: Implications for paleotemperature and paleoenvironmental reconstructions WM Longo, Y Huang, Y Yao, J Zhao, AE Giblin, X Wang, R Zech, ... Earth and Planetary Science Letters 492, 239-250, 2018 | 70 | 2018 |
| Improved non-destructive testing of carbon fiber reinforced polymer (CFRP) composites using pulsed thermograph K Zheng, YS Chang, KH Wang, Y Yao Polymer Testing 46, 26-32, 2015 | 70 | 2015 |
| Defect detection in CFRP structures using pulsed thermographic data enhanced by penalized least squares methods K Zheng, YS Chang, Y Yao Composites Part B: Engineering 79, 351-358, 2015 | 67 | 2015 |
| Utilizing transition information in online quality prediction of multiphase batch processes Z Ge, L Zhao, Y Yao, Z Song, F Gao Journal of Process Control, 2012 | 59 | 2012 |
| Statistical analysis and online monitoring for handling multiphase batch processes with varying durations C Zhao, S Mo, F Gao, N Lu, Y Yao Journal of Process Control 21 (6), 817-829, 2011 | 59 | 2011 |
| Multilinear model decomposition of MIMO nonlinear systems and its implication for multilinear model-based control J Du, C Song, Y Yao, P Li Journal of Process Control 23 (3), 271-281, 2013 | 58 | 2013 |
| Phase-based statistical modeling, online monitoring and quality prediction for batch processes C Zhao, F Wang, Y Yao, F Gao Acta Automatica Sinica 36, 366-374, 2010 | 58 | 2010 |
| Graph convolutional network soft sensor for process quality prediction M Jia, D Xu, T Yang, Y Liu, Y Yao Journal of Process Control 123, 12-25, 2023 | 56 | 2023 |
Furong GaoHong Kong University of Science and TechnologyVerified email at ust.hk
