World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
7666
World Ranking
6250
National Ranking
833

Qiuzhen Lin 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 Qiuzhen Lin 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Qiuzhen Lin 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 Qiuzhen Lin 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Qiuzhen Lin is affiliated with Shenzhen University in China and works primarily in the fields of Computer Science and Medicine. Their research spans multiple subfields including Artificial Intelligence, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Molecular Biology, and Computer Networks and Communications.

Their scholarly work focuses extensively on topics related to optimization and algorithm development. Key research themes include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Atrial Fibrillation Management and Outcomes
  • Network Security and Intrusion Detection
  • Artificial Immune Systems Applications
  • Complex Network Analysis Techniques

Qiuzhen Lin has contributed to numerous publications, often appearing in prominent journals and conference venues. Frequent publication venues include:

  • IEEE Transactions on Evolutionary Computation
  • Swarm and Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • Knowledge-Based Systems
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Some of their recent papers include:

  • Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces, 2020, IEEE Transactions on Evolutionary Computation
  • A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy, 2020, IEEE Transactions on Evolutionary Computation
  • Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach, 2020, IEEE Internet of Things Journal (note: first author Ying He)
  • Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing, 2022, Knowledge-Based Systems (note: first author Yi Chen)
  • Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation (note: first author Songbai Liu)

Lin frequently collaborates with several researchers. Notable coauthors based on publication count include:

  • Jianqiang Li
  • Kay Chen Tan
  • Ka-Chun Wong
  • Zhong Ming
  • Songbai Liu

Best Publications

  • Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems

    Qiuzhen Lin;Songbai Liu;Qingling Zhu;Chaoyu Tang

  • A novel multi-objective particle swarm optimization with multiple search strategies

    Qiuzhen Lin;Jianqiang Li;Zhihua Du;Jianyong Chen

  • A Hybrid Path Planning Method in Unmanned Air/Ground Vehicle (UAV/UGV) Cooperative Systems

    Jianqiang Li;Genqiang Deng;Chengwen Luo;Qiuzhen Lin

  • Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations

    Laizhong Cui;Genghui Li;Qiuzhen Lin;Jianyong Chen

  • A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy

    Qingling Zhu;Qingfu Zhang;Qiuzhen Lin

  • Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

    Qiuzhen Lin;Wu Lin;Zexuan Zhu;Maoguo Gong

  • Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach

    Ying He;Yuhang Wang;Chao Qiu;Qiuzhen Lin

  • A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation

    Laizhong Cui;Genghui Li;Qiuzhen Lin;Zhihua Du

  • A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems

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

  • A novel hybrid multi-objective immune algorithm with adaptive differential evolution

    Qiuzhen Lin;Qingling Zhu;Peizhi Huang;Jianyong Chen

  • An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm

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

  • Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

    Unknown

  • Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism

    Laizhong Cui;Genghui Li;Genghui Li;Zexuan Zhu;Qiuzhen Lin

  • Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization

    Unknown

  • A ranking-based adaptive artificial bee colony algorithm for global numerical optimization

    Laizhong Cui;Genghui Li;Genghui Li;Xizhao Wang;Qiuzhen Lin

  • A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems

    Qiuzhen Lin;Songbai Liu;Ka-Chun Wong;Maoguo Gong

  • A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization

    Laizhong Cui;Genghui Li;Genghui Li;Zexuan Zhu;Qiuzhen Lin

  • A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

    Unknown

  • Multifactorial optimization via explicit multipopulation evolutionary framework

    Genghui Li;Qiuzhen Lin;Weifeng Gao

  • Simultaneous Arithmetic Coding and Encryption Using Chaotic Maps

    Kwok-Wo Wong;Qiuzhen Lin;Jianyong Chen

  • A novel hybrid differential evolution algorithm with modified CoDE and JADE

    Genghui Li;Qiuzhen Lin;Laizhong Cui;Zhihua Du

  • Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm

    Qiuzhen Lin;Zhiwang Liu;Qiao Yan;Zhihua Du

  • A hybrid immune multiobjective optimization algorithm

    Jianyong Chen;Qiuzhen Lin;Zhen Ji

Frequent Co-Authors

Jianqiang Li
Jianqiang Li Beijing University of Technology
Maoguo Gong
Maoguo Gong Xidian University
Laizhong Cui
Laizhong Cui Shenzhen University
Zexuan Zhu
Zexuan Zhu Shenzhen University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Kwok-Wo Wong
Kwok-Wo Wong City University of Hong Kong
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Sam Kwong
Sam Kwong Lingnan University

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