World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11412
World Ranking
4577
National Ranking
612

Dunwei 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 Dunwei 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: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Dunwei 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 Dunwei 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: 54 D-Index — 69th percentile

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

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

Overview

Dunwei Gong is affiliated with the Qingdao University of Science and Technology in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions in various subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Control and Systems Engineering, and Software.

The scientist's work covers a range of main topics, reflecting a deep engagement with metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, and evolutionary algorithms and their applications. Additional research interests include software testing and debugging techniques, software reliability and analysis, software engineering research, and integrated energy systems optimization.

Notable recent publications by Dunwei Gong include:

  • "A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data" (2021), published in IEEE Transactions on Cybernetics
  • "Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost" (2020), published in IEEE Transactions on Cybernetics
  • "Feature selection using bare-bones particle swarm optimization with mutual information" (2020), published in Pattern Recognition
  • "A review of surrogate-assisted evolutionary algorithms for expensive optimization problems" (2023), published in Expert Systems with Applications
  • "A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem" (2021), published in IEEE Transactions on Automation Science and Engineering

Dunwei Gong frequently collaborates with a number of co-authors. Key collaborators include Zhang Yon, Xiangjuan Yao, Xiaoyan Sun, and Yinan Guo.

The scientist's work has appeared in several respected publication venues. Frequent outlets include:

  • IEEE Transactions on Evolutionary Computation
  • SSRN Electronic Journal
  • Applied Energy
  • Information Sciences
  • Swarm and Evolutionary Computation

Best Publications

  • Robot path planning in uncertain environment using multi-objective particle swarm optimization

    Yong Zhang;Dun-Wei Gong;Jian-Hua Zhang

  • Binary differential evolution with self-learning for multi-objective feature selection

    Yong Zhang;Dun-wei Gong;Xiao-zhi Gao;Tian Tian

  • Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification

    Yong Zhang;Dun-wei Gong;Jian Cheng

  • A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch

    Yong Zhang;Dun-Wei Gong;Zhonghai Ding

  • A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data

    Xian-Fang Song;Yong Zhang;Dun-Wei Gong;Xiao-Zhi Gao

  • A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

    Yiping Liu;Gary G. Yen;Dunwei Gong

  • Feature selection algorithm based on bare bones particle swarm optimization

    Yong Zhang;Dunwei Gong;Ying Hu;Wanqiu Zhang

  • A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

    Yiping Liu;Dunwei Gong;Jing Sun;Yaochu Jin

  • Feature selection using bare-bones particle swarm optimization with mutual information

    Xian-fang Song;Yong Zhang;Dun-wei Gong;Dun-wei Gong;Xiao-yan Sun

  • A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems

    Dunwei Gong;Jing Sun;Zhuang Miao

  • Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost

    Ying Hu;Yong Zhang;Dunwei Gong

  • A return-cost-based binary firefly algorithm for feature selection

    Yong Zhang;Xian-fang Song;Dun-wei Gong;Dun-wei Gong

  • Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems

    Miao Rong;Dunwei Gong;Yong Zhang;Yaochu Jin

  • Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns

    Yuyan Han;Dunwei Gong;Yaochu Jin;Quanke Pan

  • A PSO-based multi-objective multi-label feature selection method in classification

    Yong Zhang;Dun-wei Gong;Xiao-yan Sun;Yi-nan Guo

  • Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm

    Yong Zhang;Shi Cheng;Yuhui Shi;Dun-wei Gong

  • A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems

    Unknown

  • A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems

    Dunwei Gong;Biao Xu;Yong Zhang;Yinan Guo

  • A comprehensive review of krill herd algorithm: variants, hybrids and applications

    Gai Ge Wang;Amirhossein Gandomi;Amirhossein Gandomi;Amir H. Alavi;Dunwei Gong

  • Robust Dynamic Multi-Objective Vehicle Routing Optimization Method

    Yi-Nan Guo;Jian Cheng;Sha Luo;Dunwei Gong

  • Multi-directional Prediction Approach for Dynamic Multi-objective Optimization Problems

    Miao Rong;Dunwei Gong;Yong Zhang;Yaochu Jin

Frequent Co-Authors

Jing Sun
Jing Sun University of Michigan–Ann Arbor
Yaochu Jin
Yaochu Jin Westlake University
Shengxiang Yang
Shengxiang Yang De Montfort University
Junqing Li
Junqing Li Liaocheng University
Ling Wang
Ling Wang Tsinghua University
Jinhua Zheng
Jinhua Zheng Xiangtan University
Shi Cheng
Shi Cheng Shaanxi Normal University
Qiuzhen Lin
Qiuzhen Lin Shenzhen University
Xiao-Zhi Gao
Xiao-Zhi Gao University of Eastern Finland
Juan Zou
Juan Zou Xiangtan University

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