World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
4775
World Ranking
2429
National Ranking
296

Overview

Weiwei Zhang is affiliated with Northwestern Polytechnical University in China. Their research primarily spans the field of engineering, with a substantial focus on computational mechanics, statistical and nonlinear physics, and aerospace engineering. Their work also includes artificial intelligence and computer vision and pattern recognition as significant subfields.

The scientist's research encompasses key topics such as model reduction and neural networks, fluid dynamics and turbulent flows, fluid dynamics and vibration analysis, and computational fluid dynamics and aerodynamics. Additional areas of study include wind and air flow studies, aerodynamics and acoustics in jet flows, and advanced multi-objective optimization algorithms.

Weiwei Zhang has contributed to numerous publications in various scientific venues. The most frequent publication platforms include:

  • Physics of Fluids
  • Aerospace Science and Technology
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • AIAA Journal

Their recent papers include the following works:

  • Data-driven modeling for unsteady aerodynamics and aeroelasticity, 2021, Progress in Aerospace Sciences
  • Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization, 2021, Swarm and Evolutionary Computation
  • Fast aerodynamics prediction of laminar airfoils based on deep attention network, 2023, Physics of Fluids
  • Turbulence closure for high Reynolds number airfoil flows by deep neural networks, 2020, Aerospace Science and Technology
  • Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy, 2021, Swarm and Evolutionary Computation

Weiwei Zhang has collaborated extensively with several co-authors, including:

  • Chuanqiang Gao
  • Wenbo Cao
  • Jiaqing Kou
  • Yilang Liu
  • Xuxiang Sun

Best Publications

  • Machine learning methods for turbulence modeling in subsonic flows around airfoils

    Linyang Zhu;Weiwei Zhang;Jiaqing Kou;Yilang Liu

  • An improved criterion to select dominant modes from dynamic mode decomposition

    Jiaqing Kou;Weiwei Zhang

  • Mechanism of frequency lock-in in vortex-induced vibrations at low Reynolds numbers

    Unknown

  • Data-driven modeling for unsteady aerodynamics and aeroelasticity

    Jiaqing Kou;Jiaqing Kou;Weiwei Zhang

  • Efficient Method for Limit Cycle Flutter Analysis Based on Nonlinear Aerodynamic Reduced-Order Models

    Weiwei Zhang;Bobin Wang;Zhengyin Ye;Jingge Quan

  • Supersonic Flutter Analysis Based on a Local Piston Theory

    Wei-Wei Zhang;Zheng-Yin Ye;Chen-An Zhang;Feng Liu

  • Deep neural network for unsteady aerodynamic and aeroelastic modeling across multiple Mach numbers

    Kai Li;Jiaqing Kou;Weiwei Zhang

  • Mechanism of frequency lock-in in transonic buffeting flow

    Chuanqiang Gao;Weiwei Zhang;Xintao Li;Yilang Liu

  • Transonic aeroelasticity: A new perspective from the fluid mode

    Chuanqiang Gao;Weiwei Zhang

  • Mode competition in galloping of a square cylinder at low Reynolds number

    Xintao Li;Zhen Lyu;Jiaqing Kou;Weiwei Zhang

  • The lowest Reynolds number of vortex-induced vibrations

    Jiaqing Kou;Weiwei Zhang;Yilang Liu;Xintao Li

  • Benchmark aerodynamic shape optimization with the POD-based CST airfoil parametric method

    Xiaojing Wu;Xiaojing Wu;Weiwei Zhang;Xuhao Peng;Ziyi Wang

  • A reduced-order model for compressible flows with buffeting condition using higher order dynamic mode decomposition with a mode selection criterion

    Jiaqing Kou;Soledad Le Clainche;Weiwei Zhang

  • Active control of transonic buffet flow

    Chuanqiang Gao;Weiwei Zhang;Jiaqing Kou;Yilang Liu

  • Turbulence closure for high Reynolds number airfoil flows by deep neural networks

    Linyang Zhu;Weiwei Zhang;Xuxiang Sun;Yilang Liu

  • Two Better Loosely Coupled Solution Algorithms of CFD Based Aeroelastic Simulation

    Unknown

  • A hybrid reduced-order framework for complex aeroelastic simulations

    Jiaqing Kou;Weiwei Zhang

  • Multi-fidelity modeling framework for nonlinear unsteady aerodynamics of airfoils

    Jiaqing Kou;Weiwei Zhang

  • Multi-kernel neural networks for nonlinear unsteady aerodynamic reduced-order modeling

    Jiaqing Kou;Weiwei Zhang

  • Dynamic mode decomposition with exogenous input for data-driven modeling of unsteady flows

    Jiaqing Kou;Weiwei Zhang

  • The interaction between flutter and buffet in transonic flow

    Weiwei Zhang;Chuanqiang Gao;Yilang Liu;Zhengyin Ye

  • Novel Wiener models with a time-delayed nonlinear block and their identification

    Jiaqing Kou;Weiwei Zhang;Minglang Yin

Frequent Co-Authors

YuanTong Gu
YuanTong Gu Queensland University of Technology

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