Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network Z Zhou, G He, S Wang, G Jin Computers & Fluids 195, 104319, 2019 | 161 | 2019 |
An immersed boundary method based on the lattice Boltzmann approach in three dimensions, with application L Zhu, G He, S Wang, L Miller, X Zhang, Q You, S Fang Computers & Mathematics with Applications 61 (12), 3506-3518, 2011 | 155 | 2011 |
Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network H Wang, Y Liu, S Wang Physics of Fluids 34 (1), 017116, 2022 | 146 | 2022 |
An immersed boundary method based on discrete stream function formulation for two-and three-dimensional incompressible flows S Wang, X Zhang Journal of Computational Physics 230 (9), 3479-3499, 2011 | 119 | 2011 |
The motion of respiratory droplets produced by coughing H Wang, Z Li, X Zhang, L Zhu, Y Liu, S Wang Physics of Fluids 32 (12), 125102, 2020 | 93 | 2020 |
Effects of geometric shape on the hydrodynamics of a self-propelled flapping foil X Zhang, S Ni, S Wang, G He Physics of Fluids (1994-present) 21 (10), 103302, 2009 | 63 | 2009 |
Lift enhancement by dynamically changing wingspan in forward flapping flight S Wang, X Zhang, G He, T Liu Physics of Fluids (1994-present) 26 (6), 061903, 2014 | 58 | 2014 |
A lift formula applied to low-Reynolds-number unsteady flows S Wang, X Zhang, G He, T Liu Physics of Fluids (1994-present) 25 (9), 093605, 2013 | 54 | 2013 |
Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method B Shi, X Yang, G Jin, G He, S Wang Applied Mathematics and Mechanics 40 (3), 305-320, 2019 | 50 | 2019 |
Lift enhancement by bats' dynamically changing wingspan S Wang, X Zhang, G He, T Liu Journal of The Royal Society Interface 12 (113), 20150821, 2015 | 49 | 2015 |
A hydrodynamic stress model for simulating turbulence/particle interactions with immersed boundary methods S Wang, M Vanella, E Balaras Journal of Computational Physics 382, 240-263, 2019 | 44 | 2019 |
Unsteady Thin-Airfoil Theory Revisited: Application of a Simple Lift Formula T Liu, S Wang, X Zhang, G He AIAA Journal 53 (6), 1492-1502, 2015 | 43 | 2015 |
Parallel computing strategy for a flow solver based on immersed boundary method and discrete stream-function formulation S Wang, G He, X Zhang Computers & Fluids 88, 210-224, 2013 | 42 | 2013 |
A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution … Z Zhou, S Wang, G Jin Physics of Fluids 30 (10), 105110, 2018 | 41 | 2018 |
Self-propulsion of flapping bodies in viscous fluids: Recent advances and perspectives S Wang, G He, X Zhang Acta Mechanica Sinica 32 (6), 980-990, 2016 | 38 | 2016 |
Predicting the near-wall velocity of wall turbulence using a neural network for particle image velocimetry H Wang, Z Yang, B Li, S Wang Physics of Fluids 32 (11), 115105, 2020 | 36 | 2020 |
Numerical investigation of flows around an axisymmetric body of revolution by using Reynolds-stress model based hybrid Reynolds-averaged Navier–Stokes/large eddy simulation Y Liu, Z Zhou, L Zhu, S Wang Physics of Fluids 33 (8), 085115, 2021 | 35 | 2021 |
Assimilation of disparate data for enhanced reconstruction of turbulent mean flows XL Zhang, H Xiao, GW He, SZ Wang Computers & Fluids 224, 104962, 2021 | 30 | 2021 |
A structural subgrid-scale model for the collision-related statistics of inertial particles in large-eddy simulations of isotropic turbulent flows Z Zhou, S Wang, X Yang, G Jin Physics of Fluids 32 (9), 095103, 2020 | 30 | 2020 |
Error reduction for time-resolved PIV data based on Navier–Stokes equations HP Wang, Q Gao, SZ Wang, YH Li, ZY Wang, JJ Wang Experiments in Fluids 59 (10), 1-21, 2018 | 29 | 2018 |