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期刊论文 (通讯作者*, IF = 影响因子 (来源: Clarivate Analytics Journal Citation Report), 谷歌学术引用)
After Joining Zhejiang University
73. Z. Wang, J. Li, Y. Yuan, S. Zhang*, W. Hu, J. Ma, J. Tan, 2025, “Digital-twin-enabled online wrinkling monitoring of metal tube bending manufacturing: a multi-fidelity approach using forward-convolution-GAN,“ Applied Soft Computing, DOI: 10.1016/j.asoc.2024.112684 (IF: 7.2, 中科院 JCR Top)
72. Y. Zhang, B. Guo, X. Liu, J. Luo*, S. Zhang, W. Hu, NH Kim, 2024, “Sampling-efficient design optimization for categorical configurations and application to turbine blade cooling structures, “ Engineering Optimization, DOI: 10.1080/0305215X.2024.2418969 (IF: 2.2)
71. F. Zhao, W. Hu*, L. Wang, H. Liu, J. Cheng, X. Song, J. Tan, 2024, “Multi-objective design optimization of IGBT structure considering ultrasonic welding packaging,“ Engineering Optimization. (Minor Revision, IF: 2.2)
70. F. Xu, J. Wu*, D. Hong, F. Zhao, J. Wu, J. Yan, W. Hu, 2025, “A lightweight hybrid model-based condition monitoring method for grinding wheels using acoustic emission signals,“ Measurement Science and Technology, Volume 36, 016145 (IF: 2.7)
69. J. Fang, W. Hu*, Z. Liu, Y. Zhou, C. Wei, J. Tan, 2024, “A reduced order finite element-informed surrogate model for approximating global high-fidelity simulation,“ Structural and Multidisciplinary Optimization, Volume 67, 211. (IF: 4.1)
68. W. Hu, J. Fang, Y. Zhang, Z. Liu*, A. S. Verma, H. Liu, F. Cong, J. Tan, 2024, “Digital Twin of Wind Turbine Surface Damage Detection Based on Deep Learning-Aided Drone Inspection,“ Renewable Energy, Volume 241, 122332. (IF: 9.0, 中科院 JCR Top)
67. F. Cong, C. Liang, W. Hu*, T. Zhang, F. Tang, Q. Zhou, 2024, “A novel approach of wind turbine blade root load monitoring based on bearings vibrational data and a new AE-LSTM-Attention neural network,“ Wind Energy. (Minor Revision, IF: 4.0)
66. Y. Jung, M. Kim, H. Cho, W. Hu, I. Lee*, 2024, “Confidence-Based Design Optimization Using Multivariate Kernel Density Estimation Under Insufficient Input Data,“Probabilistic Engineering Mechanics, Volume 78, 103702. (IF: 3.0)
65. Y. Gu, H. Ren, H. Liu*, Y. Lin, W. Hu, T. Zou, L. Zhang, L. Huang, 2024, “Simulation of a Tidal Current-Powered Freshwater and Energy Supply System for Sustainable Island Development,“ Sustainability, Volume 16(20), 8792. (IF: 3.3)
64. W. Hu*, S. Cheng, J. Yan, J. Cheng, X. Peng, H. Cho, I. Lee, 2024,“Reliability-based design optimization: a state-of-the-art review of its methodologies, applications and challenges,“ Structural and Multidisciplinary Optimization , Volume 67, 168. (IF: 4.1)
63. W. Hu, Q. Jiao, H. Liu, K. Wang, Z. Jiang, J. Wu, F. Cong*, G. Hao, 2024, “A transferable diagnosis method with incipient fault detection for a digital twin of wind turbin,“ Digital Engineering , Volume 1, 2406. (期刊创刊首篇论文)
62. H. Lv, J. Cheng*, Z. Liu, W. Hu, J. Tan, 2024, “Difference identification of 3D CAD models based on key-point matching oriented to engineering change management,“ Advanced Engineering Informatics, Volume 62, 102595. (IF: 8.8, 中科院 JCR Top)
61. J. Cheng, D. Peng, W. Hu*, Z. Liu, J. Tan, 2024,“Collaborative robust topology optimization of FGMs considering hybrid bounded uncertainties based on the distance to ideal solution,“ Composite Structures, Volume 341, 118205. (IF: 6.3, 中科院 JCR Top)
60. Q. Jiao, W. Hu*, G. Hao, J. Cheng, X. Peng, Z. Liu, J. Tan, 2024, “A digital twin of intelligent robotic grasping based on single-loop-optimized differentiable architecture search and sim-real collaborative learning,“ Journal of Intelligent Manufacturing, https://doi.org/10.1007/s10845-024-02498-w. (IF: 6.4)
59. H. Ren, H. Liu*, Y. Gu, J. Yang, Y. Lin, W. Hu, W. Li, 2024, “Design and simulation of an off-grid marine current-powered seawater desalination and hydrogen production system,“ Renewable Energy, Volume 227, 120472. (IF: 9.0, 中科院 JCR Top)
58. H. Li, H. Liu*, Y. Gu, Y. Lin, J. Song, K. Ding, Z. Gao, W. Hu, Y. Shu, 2024, “Design and control of a parallel-axis twin-rotor counter-rotating marine current turbine for the shallow sea conditions, “ Renewable Energy, Volume 225, 120199. (IF: 9.0, 中科院 JCR Top)
57. 胡伟飞*,廖家乐,郭云飞,鄢继铨,李光,岳海峰,谭建荣. 基于物理信息神经网络的时变可靠性分析方法[J]. 机械工程学报, 2024, 60 (13): 141-153.
56. 赵峰,胡伟飞*,李光,邓晓豫,刘振宇,郭云飞,谭建荣. 基于混合指标自适应采样代理模型的多目标优化设计方法[J]. 机械工程学报, 2024, 60 (13): 81-91.
55. W. Hu*, F. Zhao, X. Deng, F. Cong, J. Wu, Z. Liu, J. Tan, 2023, “A new sequential sampling method for surrogate modeling based on a hybrid metric,“ ASME Journal of Mechanical Design, Volume 146(6), 061705 (IF: 3.441)
54. A. Tarafdar, C. Jia, W. Hu, I.D. Hosein, K. Fu, Y. Wang*, 2023, “Three-dimensional modeling of frontal polymerization for rapid, efficient, and uniform thermoset composites manufacturing,“ Composites Part B: Engineering, Volume 266, 111029. (IF: 13.1, 中科院 JCR Top)
53. W. Hu*, J. Yan, F. Zhao, C. Jiang, H. Liu, H. Cho, I. Lee, 2023, “Surrogate-based time-dependent reliability analysis for a digital twin,“ ASME Journal of Mechanical Design, Volume 145 (9): 091708. https://doi.org/10.1115/1.4062668 (IF: 3.441)
52. S. Yang, M. Lee, Y. Jung, H. Cho, W. Hu, I. Lee*, 2024, “An effective active learning strategy for reliability-based design optimization under multiple simulation models,“ Structural Safety , Volume 107, 102426 (IF: 5.8, 中科研 JCR Top)
51. X. Wu, W. Lu, K. Wang*, W. Hu, J. Fang, R. Zha, 2023, “Numerical study on aerodynamic performance of floating dural-rotor wind turbines in heave and surge motions,“ China Ocean Engineering, Volume 37, pp. 1011-1021. (IF: 1.6)
50. W. Hu, J. Fang, T. Zhang, Z. Liu*, J. Tan, 2023, “A new quantitative digital twin maturity model for high-end equipment,“ Journal of Manufacturing Systems , Volume 66, pp. 248-259 (IF: 9.498, 中科院 JCR Top)
49. 胡伟飞*,邓晓豫,张桐舟,刘振宇,谭建荣. 考虑变摩擦和声软化效应的超声焊接多场耦合仿真[J]. 机械工程学报, 2023 (In Production).
48. M. Shi, W. Hu*, M. Li, J. Zhang, X. Song, W. Sun, 2023, “Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine, “ Mechanical Systems and Signal Processing ,Volume 188, 110022. (IF: 8.934, 中科院 JCR Top, Web of Science高被引论文)
47. H. Liu, H. Ren, Y. Gu*, Y. Lin, W. Hu, J. Song, J. Yang, Z. Zhu, W. Li, 2023, “Design and on-site implementation of an off-grid marine current powered hydrogen production system,“ Applied Energy , Volume 330, 120374 (IF: 11.446, 中科院 JCR Top)
46. A.S. Verma*, J. Yan, W. Hu*, Z. Jiang, W. Shi, J.J.E. Teuwen, 2023, “A review of impact loads on composite wind turbine blades: impact threats and classification“, Renewable and Sustainable Energy Reviews, Volume 178, 113261 (IF: 16.799, 中科院 JCR Top)
45. C. Qiu, J. Tan*, Z. Liu, H. Mao, W. Hu, 2022,“Design Theory and Method of Complex Products: A Review,“ Chinese Journal of Mechanical Engineering, 35: 103, https://doi.org/10.1186/s10033-022-00779-0. (IF: 2.784)
44. X. Peng, T. Ye, W. Hu*, J. Li, Z. Liu, S. Jiang, 2022, “Construction of adaptive Kriging metamodel for failure probability estimation considering the uncertainties of distribution parameters,”Probabilistic Engineering Mechanics, Volume 70, pp. 103353. (IF: 3.350)
43. Z. Liu, L. Hu, W. Hu, J. Tan*, 2022,“ Petri Nets-based modeling solution for cyber-physical product control considering scheduling, deployment and data-driven monitoring,” IEEE Transactions on Systems, Man, and Cybernetics: Systems , Volume 53(2), pp. 990-1002. (IF: 11.471, 中科院 JCR Top)
42. H. Kim, C. Wang, H. Byun, W. Hu*, S. Kim, Q. Jiao, T. H. Lee*, 2023,“Variable three-term conjugate gradient method for training artificial neural networks,”Neural Networks , Volume 159, pp. 125-136. (IF: 9.657, 中科院 JCR Top)
41. X. Peng, Y. Shao, W. Hu*, J. Li, Z. Liu, S. Jiang, 2022,“Estimation of small failure probability based on adaptive subset simulation and deep neural network,”ASME Journal of Mechanical Design, Volume 144 (10), pp. 101704. (IF: 3.441)
40. J. Fang, W. Hu*, Z. Liu, W. Chen, J. Tan, Z. Jiang, A.S. Verma, 2022,“ Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning,”Renewable and Sustainable Energy Reviews , Volume 168, 112788 (IF: 16.799, 中科院 JCR Top)
39. W. Hu, T. Zhang, Z. Liu, J. Cheng*, Y. Lou, X. Deng, J. Tan, 2022,“ A new validation metric for models with correlated responses using limited experimental and simulation data,”ASME Journal of Mechanical Design , Volume 144 (11), pp. 111702. (IF: 3.441)
38. J. Yan, P. Sun*, P. Wu, J. Zhang, W. Hu, 2023, "A Patch Discrete Material Optimization Method for Ply layout of Wind Turbine Blades Based on Stiffness Matrix Material Interpolation," International Journal of Materials and Product Technology , Volume 67 (1) (IF: 0.743)
37. O. Khalid, G. Hao*, C. Desmond*, H. MacDonald, F. D. McAuliffe, G. Dooly, W. Hu, 2022,“Applications of robotics for floating offshore wind farm operations and maintenance: literature review and trends,”Wind Energy , Volume 25, pp. 1880-1899 (IF: 3.710, 期刊封面文章 Featured Cover Paper).
36. P. Sun, Y. Zhang, L. Zhang*, W. Hu, 2022,“Value range optimization of ply parameter for composite wind turbine blades based on sensitivity analysis,”Journal of Mechanical Science and Technology, Volume 36 (3), pp. 1351-1361. (IF: 1.734)
35. W. Hu, C. Wang, F. Liu, X. Peng*, P. Sun, J. Tan, 2022,“A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping,”Robotics and Computer-Integrated Manufacturing , Volume 77 (102371) (IF: 10.103, 中科院 JCR Top).
34. W. Hu*, J. Shao, Q. Jiao, C. Wang, J. Cheng*, Z. Liu, J. Tan, 2022,“A new differentiable architecture search method for optimizing convolutional neural networks in the digital twin of intelligent robotic grasping,”Journal of Intelligent Manufacturing (IF: 7.136, 中科院 JCR Top, Published Online).
33. J. Yan, P. Sun*, L. Zhang, W. Hu, K. Long, 2022, “SGC - a novel optimization method for the discrete fiber orientation of composites,”Structural and Multidisciplinary Optimization , Volume 65, 124. (IF: 4.542, published online).
32. P. Sun*, J. Zhang, P. Wu, J. Li, L. Zhang, W. Hu, 2022, "A discrete material optimization method with a patch strategy based on stiffness matrix interpolation," Journal of Mechanical Science and Technology , Volume 36 (2), pp. 797- 807 (IF: 1.810)
31. 陈炜镒,胡伟飞*,方健豪,姜宏伟,刘振宇,谭建荣. 考虑雨滴侵蚀的风力发电机叶片涂层疲劳寿命优化设计方法 [J]. 机械工程学报, 2022, 58 (17): 2-15.
30. J. Cheng, W. Lu, Y. Lou, W. Hu*, Z. Liu, J. Tan, 2022, “Robust topology optimization of graphene platelets reinforced functionally graded materials considering hybrid bounded uncertainties,”ASME Journal of Mechanical Design, Volume 144 (5), pp. 051704. (IF: 3.441)
29. Y. Tang, Q. K. Zhao, H. F. Zhou*, W. Hu*, T.D. Xu, L. Zheng, R. K. Nutor, X.D. Wang, Q.P. Cao, D.X. Zhang, H.K. Wang*, J.Z. Jiang*, 2021, “Tailoring microstructure of metallic glass for delocalized plasticity by pressure annealing: forward and inverse studies,” Acta Materialia, Volume 220, 117282. (IF: 8.203, 中科院 JCR Top)
28. W. Hu*, W. Chen, X. Wang, Z. Jiang, Y. Wang, A. Verma, J. Teuwen, 2021, “A Computational Framework for Coating Fatigue Analysis of Wind Turbine Blades Due to Rain Erosion,”Renewable Energy, Volume 170, pp. 236-250. (IF: 8.001, 中科院 JCR Top)
27. A.S. Verma*, Z. Jiang, Z. Ren, W. Hu, J.E. Teuwen, 2021, “Effects of onshore and offshore environmental parameters on leading edge erosion of wind turbine blades: A comparative study,” Journal of Offshore Mechanics and Arctic Engineering , Volume 143(4), 042001. (IF: 1.186)
26. W. Hu*, T. Zhang, X. Deng, Z. Liu, J. Tan, 2021, “Digital twin: a state-of-the-art review of its enabling technologies, applications, and challenges,” Journal of Intelligent Manufacturing and Special Equipment , Vol. 2 No.1, pp.1-34. (期刊封面文章. 2022 Literati Awards - Outstanding Paper 奖)
25. W. Hu, Y. He, Z. Liu*, J. Tan, M. Yang, and J. Chen, 2021, “Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks,” ASME Journal of Mechanical Design, Volume 143 (5), pp. 051705. (IF: 3.441)
24. Q. Zhang, W. Hu, Z Liu*, J. Tan, 2020, “TBM performance prediction with Bayesian optimization and automated machine learning,” Tunnelling and Underground Space Technology , Volume 103, 103493. (IF: 3.942)
23. W. Lin, Y. Wang*, et al., and W. Hu, 2020, “Analysis of damage modes of glass fiber composites subjected to simulated lightning strike impulse voltage puncture and direct high voltage AC puncture,” Journal of Composite Materials, Volume 54, Issue 26, pp. 4067-4080. (IF: 1.755)
22. L. Hu, Z. Liu*, W. Hu, Y. Wang, J. Tan, and F. Wu, 2020, “Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network,” Journal of Manufacturing Systems, Volume 55, pp. 1-14. (IF: 3.642, Web of Science 高被引论文)
21. F. Guo, Z. Liu*, W. Hu, and J. Tan, 2020, “Gain prediction and compensation for subarray antenna with assembling errors based on improved XGBoost and transfer learning,” IET Microwaves, Antennas & Propagation, Volume 14, Issue 6, pp. 551-558. (IF: 2.036)
20. W. Hu*, R.J. Barthelmie, F. Letson, and S.C. Pryor*, 2020, “Seismic noise induced by wind turbine operation and wind gusts,” Seismological Research Letters, Volume 91, Number 1, pp. 427-437. (IF: 3.888)
19. W. Hu, W. Zhao, Y. Wang, Z. Liu, J. Cheng*, and J. Tan, 2020, “Design Optimization of Composite Wind Turbine Blades Considering Tortuous Lightning Strike and Non-Proportional Multi-Axial Fatigue Damage,” Engineering Optimization, Vol. 52, No. 11, pp. 1868-1886. (IF: 1.809)