| Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network L Hu, Z Liu, W Hu, Y Wang, J Tan, F Wu Journal of Manufacturing Systems 55, 1-14, 2020 | 181 | 2020 |
| Digital twin: A state-of-the-art review of its enabling technologies, applications and challenges W Hu, T Zhang, X Deng, Z Liu, J Tan Journal of Intelligent Manufacturing and Special Equipment 2 (1), 1-34, 2021 | 178 | 2021 |
| Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty W Hu, KK Choi, H Cho Structural and multidisciplinary optimization 54, 953-970, 2016 | 160 | 2016 |
| Structural reliability analysis of wind turbines: a review Z Jiang, W Hu, W Dong, Z Gao, Z Ren Energies 10 (12), 1-25, 2017 | 130 | 2017 |
| TBM performance prediction with Bayesian optimization and automated machine learning Q Zhang, W Hu, Z Liu, J Tan Tunnelling and Underground Space Technology 103, 103493, 2020 | 112 | 2020 |
| Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine M Shi, W Hu, M Li, J Zhang, X Song, W Sun Mechanical Systems and Signal Processing 188, 110022, 2023 | 101 | 2023 |
| Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades W Hu, KK Choi, O Zhupanska, JHJ Buchholz Structural and multidisciplinary optimization 53, 375-394, 2016 | 90 | 2016 |
| Design optimization of mooring system: An application to a vessel-shaped offshore fish farm L Li, Z Jiang, M Chen, W Hu Engineering Structures 197, 109363, 2019 | 69 | 2019 |
| Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis W Hu, I Han, SC Park, DH Choi Journal of mechanical science and technology 26, 129-135, 2012 | 61 | 2012 |
| Investigation of the effects of receptors on the lightning strike protection of wind turbine blades Y Wang, W Hu IEEE Transactions on Electromagnetic Compatibility 59 (4), 1180-1187, 2017 | 55 | 2017 |
| Toward a digital twin: time series prediction based on a hybrid ensemble empirical mode decomposition and BO-LSTM neural networks W Hu, Y He, Z Liu, J Tan, M Yang, J Chen Journal of Mechanical Design 143 (5), 051705, 2021 | 50 | 2021 |
| A review of impact loads on composite wind turbine blades: impact threats and classification AS Verma, J Yan, W Hu, Z Jiang, W Shi, JJE Teuwen Renewable and Sustainable Energy Reviews 178, 113261, 2023 | 43 | 2023 |
| Observed gust wind speeds in the coterminous United States, and their relationship to local and regional drivers F Letson, SC Pryor, RJ Barthelmie, W Hu Journal of Wind Engineering and Industrial Aerodynamics 173, 199-209, 2018 | 40 | 2018 |
| Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight W Hu, D Park, DH Choi Engineering Optimization 45 (12), 1469-1487, 2013 | 37 | 2013 |
| A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion W Hu, W Chen, X Wang, Z Jiang, Y Wang, AS Verma, JJE Teuwen Renewable Energy 170, 236-250, 2021 | 35 | 2021 |
| Characterizing wind gusts in complex terrain F Letson, RJ Barthelmie, W Hu, SC Pryor Atmospheric Chemistry and Physics 19 (6), 3797-3819, 2019 | 35 | 2019 |
| Wind gust characterization at wind turbine relevant heights in moderately complex terrain W Hu, F Letson, RJ Barthelmie, SC Pryor Journal of Applied Meteorology and Climatology 57 (7), 1459-1476, 2018 | 35 | 2018 |
| Applications of robotics in floating offshore wind farm operations and maintenance: Literature review and trends O Khalid, G Hao, C Desmond, H Macdonald, FD McAuliffe, G Dooly, W Hu Wind Energy 25 (11), 1880-1899, 2022 | 34 | 2022 |
| A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping W Hu, C Wang, F Liu, X Peng, P Sun, J Tan Robotics and Computer-Integrated Manufacturing 77, 102371, 2022 | 30 | 2022 |
| A new quantitative digital twin maturity model for high-end equipment W Hu, J Fang, T Zhang, Z Liu, J Tan Journal of Manufacturing Systems 66, 248-259, 2023 | 24 | 2023 |
Zhiyu JiangProfessor, University of AgderZweryfikowany adres z uia.no
