World's Best Scientists 2026 revealed!
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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

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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