Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids
2019 · Chinese Journal of Aeronautics · 163 citations
https://doi.org/10.1016/j.cja.2019.05.001
W
Wenping Song
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
146
Papers
1.3K
Citations
19
h-index
36
i10-index
Wenping Song is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Computational Fluid Dynamics and Aerodynamics & Fluid Dynamics and Turbulent Flows & Advanced Multi-Objective Optimization Algorithms. The author has an h-index of 19, co-authored 125 publications.
Papers by this author
worksA transition prediction method for flow over airfoils based on high-order dynamic mode decomposition
2019 · Chinese Journal of Aeronautics · 36 citations
https://doi.org/10.1016/j.cja.2019.03.020
Application of surrogate models to stability analysis and transition prediction in hypersonic flows
2022 · Advances in Aerodynamics · 2 citations
https://doi.org/10.1186/s42774-022-00120-2
CST-LLM: Enhancing airfoil parameterization method with large language model
2025 · Aerospace Science and Technology · 1 citations
https://doi.org/10.1016/j.ast.2025.110548
High-resolution numerical investigation of aeroacoustic characteristics of a rigid coaxial rotor in hover
2026 · Aerospace Science and Technology · 0 citations
https://doi.org/10.1016/j.ast.2026.111956
Enhancing surrogate-based aerodynamic shape optimization via dataset-independent generative modelling and dimensionality reduction
2026 · Engineering Applications of Computational Fluid Mechanics · 0 citations
https://doi.org/10.1080/19942060.2026.2629111
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat