World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
12564
World Ranking
1573
National Ranking
309

Jinghai Li 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 Jinghai Li 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: 267 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Jinghai Li 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 Jinghai Li 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: 65 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Jinghai Li is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of engineering. Their research focuses on areas such as evacuation and crowd dynamics, risk and safety analysis, traffic and road safety, traffic control and management, organic electronics and photovoltaics, combustion and detonation processes, and conducting polymers and applications.

They have published prominently in several scientific venues, with frequent appearances in journals including:

  • Engineering
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Materials Chemistry C
  • Process Safety and Environmental Protection
  • Electron

Jinghai Li's subfields of study cover electrical and electronic engineering, safety, risk, reliability and quality, materials chemistry, artificial intelligence, and ocean engineering. These interdisciplinary domains underpin many of their investigations and scholarly outputs.

Some recent papers illustrate their focus on pedestrian behavior and safety modeling. Notable publications include:

  • "An Extended Social Force Model via Pedestrian Heterogeneity Affecting the Self-Driven Force" (2021, IEEE Transactions on Intelligent Transportation Systems)
  • "Modeling Crowd Evacuation via Behavioral Heterogeneity-Based Social Force Model" (2022, IEEE Transactions on Intelligent Transportation Systems)
  • "An Improved YOLOv5s Fire Detection Model" (2023, Fire Technology)
  • "Height map-based social force model for stairway evacuation" (2020, Safety Science)
  • "Visual information based social force model for crowd evacuation" (2021, Tsinghua Science & Technology)

Frequent collaborators in Jinghai Li's research include Zhan Dou, Liangchao Chen, Jianwen Zhang, Wenhan Wu, and Xiaoping Zheng. These partnerships have contributed to the development and publication of multiple studies, reflecting a collaborative research approach.

Best Publications

  • CFD simulation of concurrent-up gas–solid flow in circulating fluidized beds with structure-dependent drag coefficient

    Ning Yang;Wei Wang;Wei Ge;Jinghai Li

  • Simulation of gas-solid two-phase flow by a multi-scale CFD approach - Extension of the EMMS model to the sub-grid level

    Wei Wang;Jinghai Li

  • Exploring complex systems in chemical engineering - the multi-scale methodology

    Jinghai Li;Mooson Kwauk

  • Eulerian simulation of heterogeneous gas–solid flows in CFB risers: EMMS-based sub-grid scale model with a revised cluster description

    Junwu Wang;Wei Ge;Jinghai Li

  • Searching for a mesh-independent sub-grid model for CFD simulation of gas–solid riser flows

    Bona Lu;Wei Wang;Jinghai Li

  • Simulation of Heterogeneous Structure in a Circulating Fluidized-Bed Riser by Combining the Two-Fluid Model with the EMMS Approach

    Ning Yang;Wei Wang;Wei Ge;Linna Wang

  • Multi-scale methodology for complex systems

    Jinghai Li;Jiayuan Zhang;Wei Ge;Xinhua Liu

  • EMMS-based discrete particle method (EMMS–DPM) for simulation of gas–solid flows

    Liqiang Lu;Ji Xu;Wei Ge;Yunpeng Yue

  • 3D CFD simulation of hydrodynamics of a 150 MWe circulating fluidized bed boiler

    Nan Zhang;Bona Lu;Wei Wang;Jinghai Li

  • A bubble-based EMMS model for gas-solid bubbling fluidization

    Zhansheng Shi;Wei Wang;Jinghai Li

  • Quasi-real-time simulation of rotating drum using discrete element method with parallel GPU computing

    Ji Xu;Huabiao Qi;Xiaojian Fang;Liqiang Lu

  • A review of multiscale CFD for gas-solid CFB modeling

    Wei Wang;Bona Lu;Nan Zhang;Zhansheng Shi

  • The EMMS model - its application, development and updated concepts

    Jinghai Li;Congli Cheng;Zhongdong Zhang;Jie Yuan

  • METHOD OF ENERGY MINIMIZATION IN MULTI-SCALE MODELING OF PARTICLE-FLUID TWO-PHASE FLOW

    Jinghai Li;Yuanki Tung;Mooson Kwauk

  • Meso-scale oriented simulation towards virtual process engineering (VPE)-The EMMS Paradigm

    Wei Ge;Wei Wang;Ning Yang;Jinghai Li

  • MP-PIC simulation of CFB riser with EMMS-based drag model

    Fei Li;Feifei Song;Sofiane Benyahia;Wei Wang

  • Virtual experimentation through 3D full-loop simulation of a circulating fluidized bed

    Nan Zhang;Bona Lu;Wei Wang;Jinghai Li

  • Large-scale DNS of gas-solid flows on Mole-8.5

    Qingang Xiong;Bo Li;Guofeng Zhou;Xiaojian Fang

  • Eulerian simulation of gas-solid flows with particles of Geldart groups A, B and D using EMMS-based meso-scale model

    Bona Lu;Wei Wang;Jinghai Li

  • Particle-motion-resolved discrete model for simulating gas–solid fluidization

    Jie Ouyang;Jinghai Li

Frequent Co-Authors

Wei Ge
Wei Ge Chinese Academy of Sciences
Wei Wang
Wei Wang Chinese Academy of Sciences
Li Guo
Li Guo Chinese Academy of Sciences
Qingang Xiong
Qingang Xiong General Motors (United States)
Joachim Werther
Joachim Werther Hamburg University of Technology
Zhongmin Liu
Zhongmin Liu Chinese Academy of Sciences
Peter P. Edwards
Peter P. Edwards University of Oxford
Aibing Yu
Aibing Yu Monash University
Ka Ming Ng
Ka Ming Ng Hong Kong University of Science and Technology
Guanghui Ma
Guanghui Ma Chinese Academy of Sciences

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