World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
13336
World Ranking
3554
National Ranking
1044

Yun Wang 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 Yun Wang 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Yun Wang 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 Yun Wang 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: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2018 - Fellow of the American Society of Mechanical Engineers

Overview

Yun Wang is affiliated with the University of California, Irvine in the United States, focusing primarily on engineering research. Their work spans a range of subfields including Electrical and Electronic Engineering, Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Materials Chemistry, and Automotive Engineering.

The scientist has contributed extensively to the areas of Fuel Cells and Related Materials, Electrocatalysts for Energy Conversion, Advancements in Solid Oxide Fuel Cells, Advanced Battery Technologies Research, Additive Manufacturing Materials and Processes, and Supercapacitor Materials and Fabrication.

Recent published papers by Yun Wang include:

  • "PEM Fuel cell and electrolysis cell technologies and hydrogen infrastructure development - a review", 2022, Energy & Environmental Science
  • "Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology", 2020, Energy and AI

Yun Wang collaborates frequently with a number of researchers, including:

  • Kui Jiao
  • Guobin Zhang
  • Zhiguo Qu
  • Bowen Wang
  • Zhe Wang

Their publications are notably appearing in several journals with frequent contributions to:

  • International Journal of Hydrogen Energy
  • SSRN Electronic Journal
  • Applied Energy
  • Journal of The Electrochemical Society
  • Journal of Cleaner Production

The research predominantly addresses topics related to sustainable energy and materials science, with a particular emphasis on fuel cell technologies and innovative manufacturing processes relevant to energy applications.

Additionally, Yun Wang was awarded the title of Fellow of the American Society of Mechanical Engineers in 2018.

Best Publications

  • A review of polymer electrolyte membrane fuel cells: Technology, applications,and needs on fundamental research

    Yun Wang;Ken S. Chen;Jeffrey Mishler;Sung Chan Cho

  • Materials, technological status, and fundamentals of PEM fuel cells – A review

    Yun Wang;Daniela Fernanda Ruiz Diaz;Ken S. Chen;Zhe Wang

  • Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology

    Yun Wang;Bongjin Seo;Bowen Wang;Nada Zamel

  • A Nonisothermal, Two-Phase Model for Polymer Electrolyte Fuel Cells

    Yun Wang;Chao Yang Wang

  • Transient analysis of polymer electrolyte fuel cells

    Yun Wang;Chao Yang Wang

  • Additive Manufacturing for Energy: A Review

    Cheng Sun;Yun Wang;Michael D. McMurtrey;Nathan D. Jerred

  • Modeling two-phase flow in PEM fuel cell channels

    Yun Wang;Suman Basu;Chao-Yang Wang

  • Dynamics of polymer electrolyte fuel cells undergoing load changes

    Yun Wang;Chao Yang Wang

  • Elucidating differences between carbon paper and carbon cloth in polymer electrolyte fuel cells

    Yun Wang;Chao Yang Wang;K. S. Chen

  • Thermal management of polymer electrolyte membrane fuel cells: A review of cooling methods, material properties, and durability

    Qin Chen;Qin Chen;Guobin Zhang;Guobin Zhang;Xuzhong Zhang;Cheng Sun

  • Recent advances in laser-induced breakdown spectroscopy quantification: From fundamental understanding to data processing

    Zhe Wang;Muhammad Sher Afgan;Weilun Gu;Yuzhou Song

  • Polymer electrolyte membrane fuel cell and hydrogen station networks for automobiles: Status, technology, and perspectives

    Yun Wang;Hao Yuan;Andrew Martinez;Patrick Hong

  • Two-Phase Transients of Polymer Electrolyte Fuel Cells

    Yun Wang;Chao Yang Wang

  • Cold start of polymer electrolyte fuel cells: Three-stage startup characterization

    Yun Wang;Partha P. Mukherjee;Jeff Mishler;Rangachary Mukundan

  • Three-dimensional multi-phase simulation of PEM fuel cell considering the full morphology of metal foam flow field

    Guobin Zhang;Guobin Zhang;Zhiming Bao;Biao Xie;Yun Wang

  • Droplet dynamics in a polymer electrolyte fuel cell gas flow channel: Forces, deformation, and detachment. I: Theoretical and numerical analyses

    Sung Chan Cho;Yun Wang;Ken S. Chen

  • Analysis of the Key Parameters in the Cold Start of Polymer Electrolyte Fuel Cells

    Yun Wang

  • Modeling Polymer Electrolyte Fuel Cells with Large Density and Velocity Changes

    Yun Wang;Chao Yang Wang

  • Three-dimensional simulation of a new cooling strategy for proton exchange membrane fuel cell stack using a non-isothermal multiphase model

    Guobin Zhang;Guobin Zhang;Hao Yuan;Yun Wang;Kui Jiao

  • Ultra large-scale simulation of polymer electrolyte fuel cells

    Yun Wang;Chao-Yang Wang

  • Modeling of two-phase transport in the diffusion media of polymer electrolyte fuel cells

    Yun Wang

Frequent Co-Authors

Kui Jiao
Kui Jiao Tianjin University
Chao-Yang Wang
Chao-Yang Wang Pennsylvania State University
Rangachary Mukundan
Rangachary Mukundan Los Alamos National Laboratory
Partha P. Mukherjee
Partha P. Mukherjee Purdue University West Lafayette
Yan Yin
Yan Yin Tianjin University
Volker Schmidt
Volker Schmidt University of Ulm
Zheng Li
Zheng Li Tsinghua University
Werner Lehnert
Werner Lehnert RWTH Aachen University
Yang Ren
Yang Ren City University of Hong Kong
Marc J. Madou
Marc J. Madou University of California, Irvine

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