World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
60
Citations
15615
World Ranking
691
National Ranking
301

Overview

Shaofan Li is affiliated with the University of California, Berkeley in the United States and has a research focus primarily within the field of Engineering. Their scholarly output spans multiple subfields including Mechanics of Materials, Civil and Structural Engineering, Materials Chemistry, Computational Mechanics, and Mechanical Engineering.

The topics covered by their work include numerical methods in engineering, geotechnical engineering and underground structures, fluid dynamics simulations and interactions, composite material mechanics, concrete and cement materials research, rock mechanics and modeling, and structural health monitoring techniques.

Their recent papers include:

  • Eighty Years of the Finite Element Method: Birth, Evolution, and Future (2022) published in Archives of Computational Methods in Engineering
  • A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives (2021) published in Archives of Computational Methods in Engineering
  • Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete (2020) published in Construction and Building Materials
  • A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials (2022) published in Archives of Computational Methods in Engineering
  • Application and modelling of Shape-Memory Alloys for structural vibration control: State-of-the-art review (2022) published in Construction and Building Materials

Frequently collaborating with other researchers, Shaofan Li has several frequent coauthors:

  • Jinyang Jiang
  • Xuan Hu
  • Yuxi Xie
  • A-Man Zhang
  • Chengyao Liang

Their publications appear regularly in the following venues:

  • Computer Methods in Applied Mechanics and Engineering
  • SSRN Electronic Journal
  • Computational Mechanics
  • arXiv (Cornell University)
  • Archives of Computational Methods in Engineering

Shaofan Li has contributed to book publications as well, with works published by Cambridge University Press and Springer Nature (Netherlands). Titles include "Introduction to Computational Nanomechanics" (2022) and "Computational and Experimental Simulations in Engineering" (2023).

Best Publications

  • Meshfree and particle methods and their applications

    Shaofan Li;Wing Kam Liu

  • Reproducing kernel particle methods for structural dynamics

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

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

    Wing Kam Liu;Shaofan Li;Ted Belytschko

  • Swelling of Graphene Oxide Membranes in Aqueous Solution: Characterization of Interlayer Spacing and Insight into Water Transport Mechanisms

    Sunxiang Zheng;Qingsong Tu;Jeffrey J. Urban;Shaofan Li

  • Understanding the Aqueous Stability and Filtration Capability of MoS2 Membranes

    Zhongying Wang;Qingsong Tu;Sunxiang Zheng;Jeffrey J. Urban

  • INTRODUCTION TO MICROMECHANICS AND NANOMECHANICS

    Shaofan Li;Gang Wang

  • Finite difference calculus invariant structure of a class of algorithms for the nonlinear Klein-Gordon equation

    S. Li;L. Vu-Quoc

  • Eighty Years of the Finite Element Method: Birth, Evolution, and Future.

    Wing Kam Liu;Shaofan Li;Harold Park

  • Reproducing kernel hierarchical partition of unity, Part I—formulation and theory

    Shaofan Li;Wing Kam Liu

  • A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

    Vahid Reza Gharehbaghi;Ehsan Noroozinejad Farsangi;Mohammad Noori;T. Y. Yang

  • Numerical simulations of large deformation of thin shell structures using meshfree methods

    S. Li;W. Hao;W. K. Liu

  • Mesh-free Galerkin simulations of dynamic shear band propagation and failure mode transition

    Shaofan Li;Wing Kam Liu;Ares J. Rosakis;Ted Belytschko

  • Reproducing kernel element method. Part I: Theoretical formulation

    Wing Kam Liu;Weimin Han;Hongsheng Lu;Shaofan Li

  • A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials

    Unknown

  • Dynamic crack propagation in piezoelectric materials—Part I. Electrode solution

    Shaofan Li;Peter A. Mataga

  • On criteria for dynamic adiabatic shear band propagation

    Sergey N. Medyanik;Wing Kam Liu;Shaofan Li

  • Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete

    Miao Su;Miao Su;Qingyu Zhong;Hui Peng;Shaofan Li

  • Moving least-square reproducing kernel method Part II: Fourier analysis

    Shaofan Li;Wing Kam Liu

  • Perfectly matched multiscale simulations

    Albert C. To;Shaofan Li

  • A Peridynamics-SPH modeling and simulation of blast fragmentation of soil under buried explosive loads

    Houfu Fan;Shaofan Li

  • Dynamic crack propagation in piezoelectric materials—Part II. Vacuum solution

    Shaofan Li;Peter A. Mataga

  • Peridynamics simulations of geomaterial fragmentation by impulse loads

    Xin Lai;Xin Lai;Bo Ren;Houfu Fan;Shaofan Li

  • A hybrid peridynamics–SPH simulation of soil fragmentation by blast loads of buried explosive

    Houfu Fan;Guy Leshem Bergel;Shaofan Li

  • Multiple scale meshfree methods for damage fracture and localization

    Wing Kam Liu;Su Hao;Ted Belytschko;Shao Fan Li

Frequent Co-Authors

Wing Kam Liu
Wing Kam Liu Northwestern University
Roger A. Sauer
Roger A. Sauer Ruhr University Bochum
Dong Qian
Dong Qian The University of Texas at Dallas
Ted Belytschko
Ted Belytschko Northwestern University
Jian Cao
Jian Cao Northwestern University
Albert C. To
Albert C. To University of Pittsburgh
A-Man Zhang
A-Man Zhang Harbin Engineering University
Xin-Lin Gao
Xin-Lin Gao Southern Methodist University
Jianning Ding
Jianning Ding Jiangsu University
Jeffrey J. Urban
Jeffrey J. Urban Lawrence Berkeley National Laboratory

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

While Mechanical and Aerospace Engineering are highly specialized fields, exploring related disciplines like communication sciences and disorders can expand your career opportunities. Many institutions offer accessible programs, such as the communication sciences and disorders programs, that focus on speech and language pathology. These programs often provide a solid foundation for those interested in complementary fields.

Cost is a major consideration when choosing an online degree. Fortunately, resources such as speech pathology degree online cost can help prospective students budget effectively by highlighting tuition and fees for various schools.

Veterans have access to a range of tailored educational options. Programs like online speech pathology degrees for veterans offer unique benefits, including financial support and flexible schedules, making it easier for them to transition into new careers.

If you are looking to fast-track your education, consider the accelerated speech pathology programs. These intensive courses allow students to complete their degrees more quickly, preparing them for the workforce in less time.

Best Scientists Citing Shaofan Li

Trending Scientists

Recently Published Articles