World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
12868
World Ranking
2792
National Ranking
853

Jiun-Shyan Chen publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jiun-Shyan Chen sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 207 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jiun-Shyan Chen D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jiun-Shyan Chen sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jiun-Shyan Chen is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on engineering, with a specialized emphasis on computational mechanics and related subfields.

Their work covers a range of topics within engineering, including numerical methods in engineering, model reduction and neural networks, fluid dynamics simulations and interactions, advanced numerical analysis techniques, advanced numerical methods in computational mathematics, dam engineering and safety, and elasticity and material modeling.

Their notable recent papers span from 2020 to 2022 and include:

  • A physics-constrained data-driven approach based on locally convex reconstruction for noisy database (2020, Computer Methods in Applied Mechanics and Engineering)
  • Deep autoencoders for physics-constrained data-driven nonlinear materials modeling (2021, Computer Methods in Applied Mechanics and Engineering)
  • Thermodynamically consistent machine-learned internal state variable approach for data-driven modeling of path-dependent materials (2022, Computer Methods in Applied Mechanics and Engineering)
  • A Naturally Stabilized Semi-Lagrangian Meshfree Formulation for Multiphase Porous Media with Application to Landslide Modeling (2020, Journal of Engineering Mechanics)
  • Manifold learning based data-driven modeling for soft biological tissues (2020, Journal of Biomechanics)

Jiun-Shyan Chen frequently publishes in the following venues:

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

Their frequent coauthors include:

  • Jonghyuk Baek
  • Xiaolong He
  • Yanran Wang
  • Qizhi He
  • Han Zhao

Within their primary field of engineering, Jiun-Shyan Chen's subfields of study consist of computational mechanics, mechanics of materials, civil and structural engineering, statistical and nonlinear physics, and mechanical engineering. Their work involves the development and application of advanced computational techniques for material and structural analysis, emphasizing physical constraints and data-driven modeling approaches.

Best Publications

  • A stabilized conforming nodal integration for Galerkin mesh-free methods

    Jiun-Shyan Chen;Cheng-Tang Wu;Sangpil Yoon;Yang You

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

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

  • Meshfree Methods: Progress Made after 20 Years

    Jiun Shyan Chen;Michael Hillman;Sheng Wei Chi

  • Overview and applications of the reproducing Kernel Particle methods

    W. K. Liu;Y. Chen;S. Jun;J. S. Chen

  • Non-linear version of stabilized conforming nodal integration for Galerkin mesh-free methods

    Jiun-Shyan Chen;Sangpil Yoon;Cheng-Tang Wu

  • New boundary condition treatments in meshfree computation of contact problems

    Jiun-Shyan Chen;Hui-Ping Wang

  • A Lagrangian reproducing kernel particle method for metal forming analysis

    Jiun-Shyan Chen;C. Pan;C. M. O. L. Roque;Hui-Ping Wang

  • Meshfree and finite element nodal integration methods

    M. A. Puso;J. S. Chen;E. Zywicz;W. Elmer

  • Arbitrary Lagrangian-Eulerian Petrov-Galerkin finite elements for nonlinear continua

    Wing Kam Liu;Herman Chang;Jiun-Shyan Chen;Ted Belytschko

  • Large deformation analysis of rubber based on a reproducing kernel particle method

    J.-S. Chen;C. Pan;C.-T. Wu

  • Locking-free stabilized conforming nodal integration for meshfree Mindlin-Reissner plate formulation

    Dongdong Wang;Jiun-Shyan Chen

  • An arbitrary order variationally consistent integration for Galerkin meshfree methods

    Jiun Shyan Chen;Michael Hillman;Marcus Rüter

  • Stabilized conforming nodal integration in the natural-element method

    Jeong Wahn Yoo;Brian Moran;Jiun-Shyan Chen

  • Regularization of material instabilities by meshfree approximations with intrinsic length scales

    Jiun-Shyan Chen;Cheng-Tang Wu;Ted Belytschko

  • An accelerated, convergent, and stable nodal integration in Galerkin meshfree methods for linear and nonlinear mechanics

    Michael Hillman;Jiun Shyan Chen

  • An improved reproducing kernel particle method for nearly incompressible finite elasticity

    Jiun-Shyan Chen;Sangpil Yoon;Hui-Ping Wang;Wing Kam Liu

  • The Sandia Fracture Challenge: blind round robin predictions of ductile tearing

    B. L Boyce;S. L B Kramer;H. E Fang;T. E Cordova

  • Analysis of metal forming process based on meshless method

    Jiun-Shyan Chen;Cristina Maria Oliveira Lima Roque;Chunhui Pan;Sérgio Tonini Button

  • Weighted radial basis collocation method for boundary value problems

    H. Y. Hu;J. S. Chen;W. Hu

  • A Hermite reproducing kernel approximation for thin-plate analysis with sub-domain stabilized conforming integration

    Dongdong Wang;Jiun-Shyan Chen

Frequent Co-Authors

Wing Kam Liu
Wing Kam Liu Northwestern University
Ted Belytschko
Ted Belytschko Northwestern University
Kyung K. Choi
Kyung K. Choi University of Iowa
Nam H. Kim
Nam H. Kim University of Florida
Yuri Bazilevs
Yuri Bazilevs Brown University
Lizhi Sun
Lizhi Sun University of California, Irvine
Florin Bobaru
Florin Bobaru University of Nebraska–Lincoln
Joseph A. Turner
Joseph A. Turner Iowa State University
Blair E. Carlson
Blair E. Carlson General Motors (United States)
Brad L. Boyce
Brad L. Boyce Sandia National Laboratories

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