World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
20396
World Ranking
3747
National Ranking
499

Yun Li publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yun Li sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 339 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yun Li D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yun Li sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2020 - IEEE Fellow For application of computational intelligence to system design and control

Overview

Yun Li is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on Artificial Intelligence, Control and Systems Engineering, and Industrial and Manufacturing Engineering.

The scientist's work covers a variety of topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Manufacturing Process and Optimization
  • Advanced Control Systems Optimization
  • Advanced Ceramic Materials Synthesis
  • Topic Modeling

Yun Li has published frequently in several academic venues, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Scientific Reports

Some recent papers authored or co-authored by Yun Li include:

  • Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Gene Targeting Differential Evolution: A Simple and Efficient Method for Large-Scale Optimization, 2022, IEEE Transactions on Evolutionary Computation
  • Human-centric Collaborative Assembly System for Large-Scale Space Deployable Mechanism Driven by Digital Twins and Wearable AR Devices, 2022, Journal of Manufacturing Systems
  • Effects of Dicyandiamide, Phosphogypsum and Superphosphate on Greenhouse Gas Emissions during Pig Manure Composting, 2022, The Science of The Total Environment
  • Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization, 2023, IEEE Transactions on Evolutionary Computation

The scientist has collaborated frequently with several co-authors, including:

  • Jun Zhang
  • Zhi-Hui Zhan
  • Chuang-Tian Zhan
  • Li-Xiang Wu
  • Wei-Ming Guo

Yun Li received the IEEE Fellow award in 2020 for contributions related to the application of computational intelligence to system design and control.

Best Publications

  • PID control system analysis, design, and technology

    Kiam Heong Ang;G. Chong;Yun Li

  • Adaptive Particle Swarm Optimization

    Zhi-Hui Zhan;Jun Zhang;Yun Li;H.S.-H. Chung

  • Orthogonal Learning Particle Swarm Optimization

    Zhi-Hui Zhan;Jun Zhang;Yun Li;Yu-Hui Shi

  • PID control system analysis and design

    Yun Li;Kiam Heong Ang;G.C.Y. Chong

  • Particle Swarm Optimization With an Aging Leader and Challengers

    Wei-Neng Chen;Jun Zhang;Ying Lin;Ni Chen

  • Genetic Learning Particle Swarm Optimization

    Yue-Jiao Gong;Jing-Jing Li;Yicong Zhou;Yun Li

  • Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

    Zhi-Hui Zhan;Xiao-Fang Liu;Yue-Jiao Gong;Jun Zhang

  • Distributed evolutionary algorithms and their models

    Yue-Jiao Gong;Wei-Neng Chen;Zhi-Hui Zhan;Jun Zhang

  • Management approaches for Industry 4.0: A human resource management perspective

    Saqib Shamim;Shuang Cang;Hongnian Yu;Yun Li

  • An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing

    Xiao-Fang Liu;Zhi-Hui Zhan;Jeremiah D. Deng;Yun Li

  • Minimizing CVaR and VaR for a portfolio of derivatives

    siddharth alexander;thomas f. coleman;Yuying Li

  • Evolutionary Computation Meets Machine Learning: A Survey

    Jun Zhang;Zhi-hui Zhan;Ying Lin;Ni Chen

  • Adaptive Multimodal Continuous Ant Colony Optimization

    Qiang Yang;Wei-Neng Chen;Zhengtao Yu;Tianlong Gu

  • A Level-Based Learning Swarm Optimizer for Large-Scale Optimization

    Qiang Yang;Wei-Neng Chen;Jeremiah Da Deng;Yun Li

  • Patents, software, and hardware for PID control: an overview and analysis of the current art

    Yun Li;Kiam Heong Ang;G.C.Y. Chong

  • Smart manufacturing based on cyber-physical systems and beyond

    Xifan Yao;Jiajun Zhou;Yingzi Lin;Yun Li;Yun Li

  • Nonlinear model structure identification using genetic programming

    Gary J. Gray;David J. Murray-Smith;Yun Li;Ken C. Sharman

  • Multimodal Estimation of Distribution Algorithms

    Qiang Yang;Wei-Neng Chen;Yun Li;C. L. Philip Chen

  • An Ant Colony Optimization Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks

    Ying Lin;Jun Zhang;H. S-H Chung;W. H. Ip

  • An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem

    Zhi-Hui Zhan;Jun Zhang;Yun Li;Ou Liu

  • Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems

    Xiao-Min Hu;Jun Zhang;Yun Li

Frequent Co-Authors

Zhi-Hui Zhan
Zhi-Hui Zhan Nankai University
Wei-Neng Chen
Wei-Neng Chen South China University of Technology
Eric Rogers
Eric Rogers University of Southampton
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Yue-Jiao Gong
Yue-Jiao Gong South China University of Technology
Hongnian Yu
Hongnian Yu Edinburgh Napier University
Yuhui Shi
Yuhui Shi Southern University of Science and Technology
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Huosheng Hu
Huosheng Hu University of Essex
Jinghui Zhong
Jinghui Zhong South China University of Technology

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