| Feature selection and processing of turbulence modeling based on an artificial neural network Y Yin, P Yang, Y Zhang, H Chen, S Fu Physics of Fluids 32 (10), 2020 | 123 | 2020 |
| Aeroacoustic prediction of a multi-element airfoil using wall-modeled large-eddy simulation Y Zhang, H Chen, K Wang, M Wang AIAA Journal 55 (12), 4219-4233, 2017 | 91 | 2017 |
| Supercritical natural laminar flow airfoil optimization for regional aircraft wing design Y Zhang, X Fang, H Chen, S Fu, Z Duan, Y Zhang Aerospace Science and Technology 43, 152-164, 2015 | 84 | 2015 |
| Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning R Li, Y Zhang, H Chen AIAA Journal 59 (10), 3988-4001, 2021 | 79 | 2021 |
| Simulation of wing-body junction flows with hybrid RANS/LES methods S Fu, Z Xiao, H Chen, Y Zhang, J Huang International Journal of Heat and Fluid Flow 28 (6), 1379-1390, 2007 | 70 | 2007 |
| Enhancing the shear-stress-transport turbulence model with symbolic regression: A generalizable and interpretable data-driven approach C Wu, Y Zhang Physical Review Fluids 8 (8), 084604, 2023 | 66* | 2023 |
| Numerical study of an airfoil with riblets installed based on large eddy simulation Y Zhang, H Chen, S Fu, W Dong Aerospace Science and Technology 78, 661-670, 2018 | 63 | 2018 |
| Supercritical wing design based on airfoil optimization and 2.75 D transformation T Zhao, Y Zhang, H Chen, Y Chen, M Zhang Aerospace Science and Technology 56, 168-182, 2016 | 60 | 2016 |
| Data-driven turbulence modeling in separated flows considering physical mechanism analysis C Yan, H Li, Y Zhang, H Chen International Journal of Heat and Fluid Flow 96, 109004, 2022 | 52 | 2022 |
| Pressure distribution guided supercritical wing optimization LI Runze, D Kaiwen, C Haixin Chinese Journal of Aeronautics 31 (9), 1842-1854, 2018 | 52 | 2018 |
| Data augmented turbulence modeling for three-dimensional separation flows C Yan, Y Zhang, H Chen Physics of Fluids 34 (7), 2022 | 48 | 2022 |
| Aerodynamic prediction of iced airfoils based on modified three-equation turbulence model H Li, Y Zhang, H Chen AIAA Journal 58 (9), 3863-3876, 2020 | 47 | 2020 |
| Numerical study of a supercritical airfoil/wing with variable-camber technology NIU Wei, Y Zhang, C Haixin, M Zhang Chinese Journal of Aeronautics 33 (7), 1850-1866, 2020 | 41 | 2020 |
| Improvement to patched grid technique with high-order conservative remapping method Y Zhang, H Chen, S Fu Journal of aircraft 48 (3), 884-893, 2011 | 41 | 2011 |
| A low dissipation numerical scheme for implicit large eddy simulation Z Li, Y Zhang, H Chen Computers & Fluids 117, 233-246, 2015 | 40 | 2015 |
| Prediction of separation flows around a 6: 1 prolate spheroid using RANS/LES hybrid approaches Z Xiao, Y Zhang, J Huang, H Chen, S Fu Acta Mechanica Sinica 23 (4), 369-382, 2007 | 40 | 2007 |
| Development of a generalizable data-driven turbulence model: Conditioned field inversion and symbolic regression C Wu, S Zhang, Y Zhang AIAA Journal 63 (2), 687-706, 2025 | 38 | 2025 |
| An iterative data-driven turbulence modeling framework based on Reynolds stress representation Y Yin, Z Shen, Y Zhang, H Chen, S Fu Theoretical and Applied Mechanics Letters 12 (5), 100381, 2022 | 38 | 2022 |
| Optimization design of airfoils under atmospheric icing conditions for UAV LI Haoran, Y Zhang, C Haixin Chinese Journal of Aeronautics 35 (4), 118-133, 2022 | 37 | 2022 |
| Transonic nacelle aerodynamic optimization based on hybrid genetic algorithm X Fang, Y Zhang, S Li, H Chen 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3833, 2016 | 37 | 2016 |
Song FuProfessor of Fluid Mechanics, Tsinghua UniversityVerified email at tsinghua.edu.cn
