| Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements DC Feng, WJ Wang, S Mangalathu, G Hu, T Wu Engineering Structures 235, 111979, 2021 | 210 | 2021 |
| Experimental investigation on the efficiency of circular cylinder-based wind energy harvester with different rod-shaped attachments G Hu, KT Tse, M Wei, R Naseer, A Abdelkefi, KCS Kwok Applied energy 226, 682-689, 2018 | 168 | 2018 |
| Performance evaluation of twin piezoelectric wind energy harvesters under mutual interference G Hu, J Wang, Z Su, G Li, H Peng, KCS Kwok Applied Physics Letters 115 (7), 073901, 2019 | 128 | 2019 |
| Aerodynamic modification to a circular cylinder to enhance the piezoelectric wind energy harvesting G Hu, KT Tse, KCS Kwok, J Song, Y Lyu Applied Physics Letters 109 (19), 193902, 2016 | 123 | 2016 |
| Deep learning-based investigation of wind pressures on tall building under interference effects G Hu, L Liu, D Tao, J Song, KT Tse, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 201, 104138, 2020 | 117 | 2020 |
| Predicting wind pressures around circular cylinders using machine learning techniques G Hu, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 198, 104099, 2020 | 116 | 2020 |
| Optimization of blade pitch in H-rotor vertical axis wind turbines through computational fluid dynamics simulations C Li, Y Xiao, Y Xu, Y Peng, G Hu, S Zhu Applied Energy 212, 1107-1125, 2018 | 110 | 2018 |
| Performance of a circular cylinder piezoelectric wind energy harvester fitted with a splitter plate J Song, G Hu, KT Tse, SW Li, KCS Kwok Applied Physics Letters 111 (22), 2017 | 95 | 2017 |
| Wind-induced responses of a tall building with a double-skin façade system G Hu, S Hassanli, KCS Kwok, KT Tse Journal of Wind Engineering and Industrial Aerodynamics 168, 91-100, 2017 | 84 | 2017 |
| Utilizing cavity flow within double skin façade for wind energy harvesting in buildings S Hassanli, G Hu, KCS Kwok, DF Fletcher Journal of Wind Engineering and Industrial Aerodynamics 167, 114–127, 2017 | 84 | 2017 |
| Large eddy simulation of flow around an inclined finite square cylinder G Hu, KT Tse, KCS Kwok, Y Zhang Journal of Wind Engineering and Industrial Aerodynamics 146, 172-184, 2015 | 80 | 2015 |
| Enhanced performance of wind energy harvester by aerodynamic treatment of a square prism G Hu, KT Tse, KCS Kwok Applied Physics Letters 108 (12), 2016 | 73 | 2016 |
| A data-driven framework for tunnel geological-type prediction based on TBM operating data J Zhao, M Shi, G Hu, X Song, C Zhang, D Tao, W Wu IEEE Access 7, 66703-66713, 2019 | 71 | 2019 |
| Machine learning based prediction of piezoelectric energy harvesting from wake galloping C Zhang, G Hu, D Yurchenko, P Lin, S Gu, D Song, H Peng, J Wang Mechanical Systems and Signal Processing 160, 107876, 2021 | 62 | 2021 |
| Machine learning-based prediction of crosswind vibrations of rectangular cylinders P Lin, G Hu, C Li, L Li, Y Xiao, KT Tse, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 211, 104549, 2021 | 58 | 2021 |
| Dynamic mode decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance CY Li, KT Tim, G Hu Journal of Wind Engineering and Industrial Aerodynamics 205, 104278, 2020 | 57 | 2020 |
| Galloping of forward and backward inclined slender square cylinders G Hu, KT Tse, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 142, 232-245, 2015 | 55 | 2015 |
| Higher order dynamic mode decomposition of wind pressures on square buildings L Zhou, KT Tse, G Hu, Y Li Journal of Wind Engineering and Industrial Aerodynamics 211, 104545, 2021 | 54 | 2021 |
| DRLinFluids: An open-source python platform of coupling Deep Reinforcement Learning and OpenFOAM Q Wang, L Yan, G Hu, C Li, Y Xiao, H Xiong, J Rabault, BR Noack Physics of Fluids 34 (081801), 2022 | 51 | 2022 |
| Passive Vibration Control of a Semi-Submersible Floating Offshore Wind Turbine C Li, T Zhuang, S Zhou, Y Xiao, G Hu Applied Sciences 7 (6), 509, 2017 | 51 | 2017 |
K.T. TseThe Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
