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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
123
Citations
63300
World Ranking
19
National Ranking
10

Wing Kam Liu 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 Wing Kam Liu 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: 659 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Wing Kam Liu 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 Wing Kam Liu 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: 123 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
  • 2012 - IACM Congress Medal (Gauss-Newton Medal)
  • 2007 - John von Neumann Medal, U.S. Association for Computational Mechanics (USACM)
  • 1995 - ASME Gustus L. Larson Memorial Award
  • 1990 - Fellow of the American Society of Mechanical Engineers

Overview

Wing Kam Liu is affiliated with Northwestern University in the United States. Their primary research area is Engineering, with a strong focus on various subfields including Mechanics of Materials, Mechanical Engineering, Statistical and Nonlinear Physics, Materials Chemistry, and Automotive Engineering.

The scientist's published work extensively covers topics such as Composite Material Mechanics, Additive Manufacturing Materials and Processes, Model Reduction and Neural Networks, Additive Manufacturing and 3D Printing Technologies, Numerical Methods in Engineering, Probabilistic and Robust Engineering Design, and Machine Learning in Materials Science.

Frequent publication venues for Wing Kam Liu include arXiv (Cornell University), Computational Mechanics, Computer Methods in Applied Mechanics and Engineering, Integrating Materials and Manufacturing Innovation, and SSRN Electronic Journal.

Common collaborators in their research are Satyajit Mojumder, Chanwook Park, Ye Lu, Zhengtao Gan, and Sourav Saha. These co-authors have worked with Wing Kam Liu multiple times, indicating ongoing collaborative efforts.

Recent notable publications include:

  • Eighty Years of the Finite Element Method: Birth, Evolution, and Future (2022), Archives of Computational Methods in Engineering
  • Universal scaling laws of keyhole stability and porosity in 3D printing of metals (2021), Nature Communications
  • Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering (2020), Computer Methods in Applied Mechanics and Engineering
  • A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials (2022), Archives of Computational Methods in Engineering
  • A hierarchical multiscale model for the elastic-plastic damage behavior of 3D braided composites at high temperature (2020), Composites Science and Technology

Wing Kam Liu has been recognized with multiple awards, including the IACM Congress Medal (Gauss-Newton Medal) in 2012, the John von Neumann Medal from the U.S. Association for Computational Mechanics in 2007, the ASME Gustus L. Larson Memorial Award in 1995, and was named Fellow of the American Society of Mechanical Engineers in 1990.

Best Publications

  • Nonlinear Finite Elements for Continua and Structures

    Ted Belytschko;Wing Kam Liu;Brian Moran

  • Reproducing kernel particle methods

    Wing Kam Liu;Sukky Jun;Yi Fei Zhang

  • Lagrangian-Eulerian finite element formulation for incompressible viscous flows☆

    Thomas J.R. Hughes;Wing Kam Liu;Thomas K. Zimmermann

  • Mechanics of carbon nanotubes

    Dong Qian;Gregory J. Wagner;Wing Kam Liu;Min Feng Yu

  • Meshfree and particle methods and their applications

    Shaofan Li;Wing Kam Liu

  • Reproducing Kernel Particle Methods for large deformation analysis of non-linear structures

    Jiun Shyan Chen;Chunhui Pan;Cheng Tang Wu;Wing Kam Liu

  • Reproducing kernel particle methods for structural dynamics

    Wing Kam Liu;Sukky Jun;Shaofan Li;Jonathan Adee

  • Mechanical properties of carbon nanotubes: theoretical predictions and experimental measurements

    Rodney S. Ruoff;Dong Qian;Wing Kam Liu

  • Random field finite elements

    Wing Kam Liu;Ted Belytschko;A. Mani

  • Coupling of atomistic and continuum simulations using a bridging scale decomposition

    Gregory J. Wagner;Wing Kam Liu

  • Finite Element Analysis of Incompressible Viscous Flows by the Penalty Function Formulation

    Thomas J.R. Hughes;Wing Kam Liu;Alec Brooks

  • Nonlinear finite element analysis of shells: Part I. three-dimensional shells

    Thomas J.R. Hughes;Wing Kam Liu

  • Moving least-square reproducing kernel methods (I) Methodology and convergence

    Wing Kam Liu;Shaofan Li;Ted Belytschko

  • Hourglass control in linear and nonlinear problems

    T. B. Belytschko;Wing K Liu;J. M. Kennedy

  • Immersed finite element method

    Lucy Zhang;Axel Gerstenberger;Xiaodong Wang;Wing Kam Liu

  • Implicit-Explicit Finite Elements in Transient Analysis: Stability Theory

    Thomas J Hughes;W. K. Liu

  • IMPLICIT-EXPLICIT FINITE ELEMENTS IN TRANSIENT ANALYSIS: IMPLEMENTATION AND NUMERICAL EXAMPLES.

    Thomas J Hughes;W. K. Liu

  • An introduction to computational nanomechanics and materials

    W. K. Liu;Eduard Karpov;S. Zhang;H. S. Park

  • A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

    M. A. Bessa;M. A. Bessa;R. Bostanabad;Z. Liu;A. Hu

  • A unified stability analysis of meshless particle methods

    Ted Belytschko;Yong Guo;Wing Kam Liu;Shao Ping Xiao

  • HOURGLASS CONTROL IN LINEAR AND NONLINEAR PROBLEMS.

    T. Belytschiko;W. K. Liu;J. M. Kennedy

Frequent Co-Authors

Ted Belytschko
Ted Belytschko Northwestern University
Gregory J. Wagner
Gregory J. Wagner Northwestern University
Shaofan Li
Shaofan Li University of California, Berkeley
Dong Qian
Dong Qian The University of Texas at Dallas
Jian Cao
Jian Cao Northwestern University
Harold S. Park
Harold S. Park Boston University
Gregory B. Olson
Gregory B. Olson Northwestern University
Jiun-Shyan Chen
Jiun-Shyan Chen University of California, San Diego
Thomas J. R. Hughes
Thomas J. R. Hughes The University of Texas at Austin
Xu Guo
Xu Guo Dalian University of Technology

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