World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
4775
World Ranking
2432
National Ranking
296

Weiwei Zhang publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Weiwei Zhang sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 130 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Weiwei Zhang D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Weiwei Zhang sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 37 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

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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