| A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting L Yu, W Dai, L Tang Engineering Applications of Artificial Intelligence 47, 110-121, 2016 | 228 | 2016 |
| A novel CEEMD-based EELM ensemble learning paradigm for crude oil price forecasting L Tang, W Dai, L Yu, S Wang International Journal of Information Technology & Decision Making 14 (01 …, 2015 | 142 | 2015 |
| Surface characterization and corrosion behavior of 90/10 copper-nickel alloy in marine environment T Jin, W Zhang, N Li, X Liu, L Han, W Dai Materials 12 (11), 1869, 2019 | 86 | 2019 |
| A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting L Yu, W Dai, L Tang, J Wu Neural computing and applications 27, 2193-2215, 2016 | 69 | 2016 |
| Bearing fault feature selection method based on weighted multidimensional feature fusion Y Li, W Dai, W Zhang IEEE access 8, 19008-19025, 2020 | 51 | 2020 |
| Why do EMD‐based methods improve prediction? A multiscale complexity perspective J Dong, W Dai, L Tang, L Yu Journal of Forecasting 38 (7), 714-731, 2019 | 42 | 2019 |
| Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers T Huang, S Wang, S Yang, W Dai Journal of Intelligent Manufacturing 32, 2181-2196, 2021 | 37 | 2021 |
| A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows Z Lu, M Wang, W Dai Computers & Industrial Engineering 142, 106360, 2020 | 36 | 2020 |
| The analysis of FBG central wavelength variation with crack propagation based on a self-adaptive multi-peak detection algorithm W Zhang, M Zhang, X Wang, Y Zhao, B Jin, W Dai Sensors 19 (5), 1056, 2019 | 35 | 2019 |
| Degradation of hydrogenated nitrile rubber (HNBR) O-rings exposed to simulated servo system conditions W Lou, W Zhang, X Liu, W Dai, D Xu Polymer Degradation and Stability 144, 464-472, 2017 | 33 | 2017 |
| Synergistic effects of multiple environmental factors on degradation of hydrogenated nitrile rubber seals W Lou, W Zhang, T Jin, X Liu, W Dai Polymers 10 (8), 897, 2018 | 32 | 2018 |
| Reliability modelling and verification of manufacturing processes based on process knowledge management W Dai, PG Maropoulos, Y Zhao International Journal of Computer Integrated Manufacturing 28 (1), 98-111, 2015 | 31 | 2015 |
| Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system R Liao, Y He, T Feng, X Yang, W Dai, W Zhang Reliability Engineering & System Safety 236, 109273, 2023 | 29 | 2023 |
| In-process complex machining condition monitoring based on deep forest and process information fusion Z Lu, M Wang, W Dai, J Sun The International Journal of Advanced Manufacturing Technology 104, 1953-1966, 2019 | 29 | 2019 |
| Decision-making in product quality based on failure knowledge W Dai, PG Maropoulos, WM Cheung, X Tang International Journal of Product Lifecycle Management (IJPLM) 5 (2/3/4), 143-163, 2011 | 29 | 2011 |
| A multi-agent-based online opinion dissemination model for China’s crisis information release policy during hazardous chemical leakage emergencies into rivers L Yu, L Li, L Tang, W Dai, C Hanachi Online Information Review 41 (4), 537-557, 2017 | 28 | 2017 |
| Mission reliability-centered opportunistic maintenance approach for multistate manufacturing systems X Yang, Y He, R Liao, Y Cai, W Dai Reliability Engineering & System Safety 241, 109693, 2024 | 26 | 2024 |
| Machined surface quality monitoring using a wireless sensory tool holder in the machining process Z Lu, M Wang, W Dai Sensors 19 (8), 1847, 2019 | 26 | 2019 |
| The temperature compensation of FBG sensor for monitoring the stress on hole-edge F Ren, W Zhang, Y Li, Y Lan, Y Xie, W Dai IEEE Photonics Journal 10 (4), 1-9, 2018 | 24 | 2018 |
| Integrated predictive maintenance approach for multistate manufacturing system considering geometric and non-geometric defects of products Y Li, Y He, R Liao, X Zheng, W Dai Reliability Engineering & System Safety 228, 108793, 2022 | 22 | 2022 |
Yihai HeSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaCorreu electrònic verificat a cityu.edu.hk