World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8593
World Ranking
7183
National Ranking
950

Wei-Neng Chen 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 Wei-Neng Chen 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Wei-Neng Chen 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 Wei-Neng Chen 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: 45 D-Index — 51st percentile

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

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

Overview

Wei-Neng Chen is affiliated with South China University of Technology in China. Their research spans multiple areas within computer science and engineering, with a particular focus on optimization algorithms and privacy-preserving technologies.

Their publication record includes papers in several prominent IEEE journals and other scholarly venues. Representative recent works include:

  • "A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization," 2020, IEEE Transactions on Evolutionary Computation
  • "A catalog of microbial genes from the bovine rumen unveils a specialized and diverse biomass-degrading environment," 2020, GigaScience
  • "CrowdFL: Privacy-Preserving Mobile Crowdsensing System Via Federated Learning," 2022, IEEE Transactions on Mobile Computing
  • "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization," 2020, IEEE Transactions on Cybernetics
  • "iTAM: Bilateral Privacy-Preserving Task Assignment for Mobile Crowdsensing," 2020, IEEE Transactions on Mobile Computing

Wei-Neng Chen collaborates frequently with several researchers, including:

  • Jun Zhang
  • Feng-Feng Wei
  • Xiao-Min Hu
  • Ya-Hui Jia
  • Tian-Fang Zhao

They have published extensively in the following venues:

  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Computational Social Systems

The main fields of study for this scientist include:

  • Computer Science
  • Engineering

Within these fields, their subfields of expertise cover:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering

The primary topics of Wei-Neng Chen's research work encompass:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Mobile Crowdsensing and Crowdsourcing
  • Transportation Planning and Optimization
  • Complex Network Analysis Techniques
  • Privacy-Preserving Technologies in Data

Best Publications

  • Particle Swarm Optimization With an Aging Leader and Challengers

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

  • A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems

    Wei-Neng Chen;Jun Zhang;H.S.H. Chung;Wen-Liang Zhong

  • Distributed evolutionary algorithms and their models

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

  • An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements

    Wei-Neng Chen;Jun Zhang

  • 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

  • Differential Evolution With Two-Level Parameter Adaptation

    Wei-Jie Yu;Meie Shen;Wei-Neng Chen;Zhi-Hui Zhan

  • Ant Colony Optimization for Software Project Scheduling and Staffing with an Event-Based Scheduler

    Wei-Neng Chen;Jun Zhang

  • Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach

    Wei-Li Liu;Yue-Jiao Gong;Wei-Neng Chen;Zhiqin Liu

  • A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection

    Xuyun Wen;Wei-Neng Chen;Ying Lin;Tianlong Gu

  • Differential Evolution with an Evolution Path: A DEEP Evolutionary Algorithm

    Yuan-Long Li;Zhi-Hui Zhan;Yue-Jiao Gong;Wei-Neng Chen

  • Industry 4.0 with cyber-physical integration: A design and manufacture perspective

    Alfredo Alan Flores Saldivar;Yun Li;Wei-neng Chen;Zhi-hui Zhan

  • Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination

    Yue-Jiao Gong;Meie Shen;Jun Zhang;O. Kaynak

  • ACO-A*: Ant Colony Optimization Plus A* for 3-D Traveling in Environments With Dense Obstacles

    Xue Yu;Wei-Neng Chen;Tianlong Gu;Huaqiang Yuan

  • A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems

    Qiuzhen Lin;Jianyong Chen;Zhi-Hui Zhan;Wei-Neng Chen

  • Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization

    Qiang Yang;Wei-Neng Chen;Tianlong Gu;Huaxiang Zhang

  • A novel discrete particle swarm optimization to solve traveling salesman problem

    Wen-liang Zhong;Jun Zhang;Wei-neng Chen

  • Bi-Velocity Discrete Particle Swarm Optimization and Its Application to Multicast Routing Problem in Communication Networks

    Meie Shen;Zhi-Hui Zhan;Wei-Neng Chen;Yue-Jiao Gong

  • An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm

    Qingling Zhu;Qiuzhen Lin;Weineng Chen;Ka-Chun Wong

  • A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization

    Feng-Feng Wei;Wei-Neng Chen;Qiang Yang;Jeremiah Deng

  • Kuhn–Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks

    Xin-Yuan Zhang;Jun Zhang;Yue-Jiao Gong;Zhi-Hui Zhan

  • Cooperation coevolution with fast interdependency identification for large scale optimization

    Xiao-Min Hu;Fei-Long He;Wei-Neng Chen;Jun Zhang

Frequent Co-Authors

Yue-Jiao Gong
Yue-Jiao Gong South China University of Technology
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zhi-Hui Zhan
Zhi-Hui Zhan Nankai University
Sam Kwong
Sam Kwong Lingnan University
Huaxiang Zhang
Huaxiang Zhang Shandong Normal University
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Hua Wang
Hua Wang Victoria University
Yun Li
Yun Li University of Electronic Science and Technology of China
Qiuzhen Lin
Qiuzhen Lin Shenzhen University

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