World's Best Scientists 2026 revealed!
Xingyi Zhang

Xingyi Zhang

D-Index & Metrics

Computer Science

D-Index
63
Citations
16638
World Ranking
2748
National Ranking
375

Xingyi Zhang 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 Xingyi Zhang 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: 169 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Xingyi Zhang 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 Xingyi Zhang 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Xingyi Zhang is affiliated with Anhui University in China. Their research is primarily situated within the field of Computer Science, with a focus on several subfields that include Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Industrial and Manufacturing Engineering, and Molecular Biology.

Their work encompasses multiple areas of study and research topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Complex Network Analysis Techniques
  • Vehicle Routing Optimization Methods
  • Advanced Graph Neural Networks
  • Intelligent Tutoring Systems and Adaptive Learning

Xingyi Zhang has published extensively, contributing to various academic venues. Some of the most frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Swarm and Evolutionary Computation
  • Applied Soft Computing

Among recent papers, the following stand out by title, year, and venue:

  • "A Coevolutionary Framework for Constrained Multiobjective Optimization Problems" (2020), IEEE Transactions on Evolutionary Computation
  • "Evolutionary Large-Scale Multi-Objective Optimization: A Survey" (2021), ACM Computing Surveys
  • "Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization" (2021), IEEE Transactions on Cybernetics
  • "Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks" (2020), IEEE Transactions on Cybernetics
  • "A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints" (2021), Information Sciences

Frequent co-authors collaborating with Xingyi Zhang include:

  • Ye Tian
  • Yaochu Jin
  • Shangshang Yang
  • Haiping Ma
  • Kay Chen Tan

Best Publications

  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]

    Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

  • A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization

    Xingyi Zhang;Ye Tian;Yaochu Jin

  • An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility

    Ye Tian;Ran Cheng;Xingyi Zhang;Fan Cheng

  • A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization

    Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

  • A Coevolutionary Framework for Constrained Multiobjective Optimization Problems

    Ye Tian;Tao Zhang;Jianhua Xiao;Xingyi Zhang

  • An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization

    Xingyi Zhang;Ye Tian;Ran Cheng;Yaochu Jin

  • A benchmark test suite for evolutionary many-objective optimization

    Ran Cheng;Miqing Li;Ye Tian;Xingyi Zhang

  • A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization

    Linqiang Pan;Cheng He;Ye Tian;Handing Wang

  • Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer

    Ye Tian;Xiutao Zheng;Xingyi Zhang;Yaochu Jin

  • A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence

    Xingyi Zhang;Xiutao Zheng;Ran Cheng;Jianfeng Qiu

  • An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems

    Ye Tian;Xingyi Zhang;Chao Wang;Yaochu Jin

  • A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization

    Ye Tian;Ran Cheng;Xingyi Zhang;Yansen Su

  • Evolutionary Large-Scale Multi-Objective Optimization: A Survey

    Ye Tian;Langchun Si;Xingyi Zhang;Ran Cheng

  • PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization

    Ye Tian;Ran Cheng;Xingyi Zhang;Yaochu Jin

  • Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.

    Ye Tian;Yajie Zhang;Yansen Su;Xingyi Zhang

  • Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation

    Cheng He;Lianghao Li;Ye Tian;Xingyi Zhang

  • Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks

    Ye Tian;Chang Lu;Xingyi Zhang;Kay Chen Tan

  • A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints

    Haiping Ma;Haoyu Wei;Ye Tian;Ran Cheng

  • On the Universality of Axon P Systems

    Xingyi Zhang;Linqiang Pan;Andrei Paun

  • Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization

    Unknown

  • Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources

    Tseren-Onolt Ishdorj;Alberto Leporati;Linqiang Pan;Xiangxiang Zeng

  • Spiking neural p systems with thresholds

    Xiangxiang Zeng;Xingyi Zhang;Tao Song;Linqiang Pan

Frequent Co-Authors

Yaochu Jin
Yaochu Jin Westlake University
Linqiang Pan
Linqiang Pan Huazhong University of Science and Technology
Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Bin Luo
Bin Luo Anhui University
Hai-Feng Zhang
Hai-Feng Zhang Chinese Academy of Sciences
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Xin Yao
Xin Yao Lingnan University
Miqing Li
Miqing Li University of Birmingham
Shengxiang Yang
Shengxiang Yang De Montfort University
Chun-Hou Zheng
Chun-Hou Zheng Qufu Normal University

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