World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6325
World Ranking
10687
National Ranking
1313

Yue-Jiao Gong 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 Yue-Jiao Gong 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Yue-Jiao Gong 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 Yue-Jiao Gong 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yue-Jiao Gong is affiliated with the South China University of Technology in China. Their work primarily spans the fields of computer science and engineering, with a focus on artificial intelligence and related subfields.

The scientist's research portfolio covers a range of topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Image and Video Retrieval Techniques
  • Vehicle Routing Optimization Methods
  • Traffic Prediction and Management Techniques
  • Robotic Path Planning Algorithms

Yue-Jiao Gong's publication record includes contributions to several notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Among recent selected papers authored or coauthored by Yue-Jiao Gong are:

  • "Bipartite Cooperative Coevolution for Energy-Aware Coverage Path Planning of UAVs," 2021, IEEE Transactions on Artificial Intelligence
  • "Maximizing Lifetime of Range-Adjustable Wireless Sensor Networks: A Neighborhood-Based Estimation of Distribution Algorithm," 2020, IEEE Transactions on Cybernetics
  • "Prior Knowledge Regularized Multiview Self-Representation and its Applications," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Efficient Neural Neighborhood Search for Pickup and Delivery Problems," 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "On Reliable Multi-View Affinity Learning for Subspace Clustering," 2020, IEEE Transactions on Multimedia

Throughout their career, Yue-Jiao Gong has collaborated extensively with several coauthors. Frequent collaborators include:

  • Jun Zhang
  • Xiaolin Xiao
  • Ting Huang
  • Zeyuan Ma
  • Zhiguang Cao

This researcher's work integrates multiple aspects of algorithm design and applied computational methods, particularly in the domains of evolutionary algorithms and optimization relevant to computer vision, network communications, and manufacturing engineering.

Best Publications

  • 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

  • Evolutionary Computation Meets Machine Learning: A Survey

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

  • Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach

    Zong-Gan Chen;Zhi-Hui Zhan;Ying Lin;Yue-Jiao Gong

  • Differential Evolution With Two-Level Parameter Adaptation

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

  • Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach

    Yue-Jiao Gong;Jun Zhang;Ou Liu;Rui-Zhang Huang

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

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

  • Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone

    Yi-Ning Ma;Yue-Jiao Gong;Chu-Feng Xiao;Ying Gao

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

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

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

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

  • An Optimization and Auction-Based Incentive Mechanism to Maximize Social Welfare for Mobile Crowdsourcing

    Yingjie Wang;Zhipeng Cai;Zhi-Hui Zhan;Yue-Jiao Gong

  • 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

  • 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

  • An Efficient Resource Allocation Scheme Using Particle Swarm Optimization

    Yue-Jiao Gong;Jun Zhang;H. S. Chung;Wei-Neng Chen

  • AntMapper: An Ant Colony-Based Map Matching Approach for Trajectory-Based Applications

    Yue-Jiao Gong;En Chen;Xinglin Zhang;Lionel M. Ni

  • Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization

    Yong-Feng Ge;Wei-Jie Yu;Ying Lin;Yue-Jiao Gong

  • Historical and Heuristic-Based Adaptive Differential Evolution

    Xiao-fang Liu;Zhi-Hui Zhan;Ying Lin;Wei-Neng Chen

  • A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem

    Ting Huang;Yue-Jiao Gong;Sam Kwong;Hua Wang

  • An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization

    Ni Chen;Wei-Neng Chen;Yue-Jiao Gong;Zhi-Hui Zhan

  • Content-Adaptive Superpixel Segmentation

    Xiaolin Xiao;Yicong Zhou;Yue-Jiao Gong

Frequent Co-Authors

Zhi-Hui Zhan
Zhi-Hui Zhan Nankai University
Wei-Neng Chen
Wei-Neng Chen South China University of Technology
Yun Li
Yun Li University of Electronic Science and Technology of China
Yicong Zhou
Yicong Zhou University of Macau
Jingjing Li
Jingjing Li Chinese University of Hong Kong
Henry Shu-Hung Chung
Henry Shu-Hung Chung City University of Hong Kong
Yuhui Shi
Yuhui Shi Southern University of Science and Technology
Hua Wang
Hua Wang Victoria University
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Sam Kwong
Sam Kwong Lingnan University

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