World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
126
Citations
78779
World Ranking
111
National Ranking
13

Xin Yao 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 Xin Yao 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 884 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Xin Yao 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 Xin Yao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 126 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2007 - Member of the National Academy of Engineering For contributions to the science and engineering innovations for electroceramics.

Overview

Xin Yao is affiliated with Lingnan University in China and works extensively in the fields of Computer Science and Engineering. Their research encompasses several subfields including Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

The scientist has contributed to the study and development of various topics, notably:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Vehicle Routing Optimization Methods
  • Optimization and Packing Problems
  • Adversarial Robustness in Machine Learning
  • Reinforcement Learning in Robotics

Several frequent coauthors have collaborated with Xin Yao throughout their career, including Leandro L. Minku, Stefan Menzel, Jialin Liu, Bernhard Sendhoff, and Siang Yew Chong.

Publication outlets where Xin Yao has published prolifically include:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Cybernetics
  • SSRN Electronic Journal

Xin Yao has authored influential papers such as:

  • "An Overview of Artificial Intelligence Ethics" (2022) published in IEEE Transactions on Artificial Intelligence
  • "What Weights Work for You? Adapting Weights for Any Pareto Front Shape in Decomposition-Based Evolutionary Multiobjective Optimisation" (2020) published in Evolutionary Computation
  • "Evolutionary Dynamic Multi-objective Optimisation: A Survey" (2022) published in ACM Computing Surveys
  • "Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers" (2020) published in IEEE Transactions on Evolutionary Computation
  • "A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades-Part B" (2021) published in IEEE Transactions on Evolutionary Computation

In addition to journal publications, Xin Yao has contributed to book literature, including a forthcoming work titled Coevolutionary Computation and Its Applications to be published by Springer Science+Business Media in 2025.

The scientist was recognized as a Member of the National Academy of Engineering in 2007, specifically cited for contributions to science and engineering innovations related to electroceramics.

Best Publications

  • Evolutionary programming made faster

    Xin Yao;Yong Liu;Guangming Lin

  • Evolving artificial neural networks

    Xin Yao

  • Stochastic ranking for constrained evolutionary optimization

    T.P. Runarsson;Xin Yao

  • A Survey on Evolutionary Computation Approaches to Feature Selection

    Bing Xue;Mengjie Zhang;Will N. Browne;Xin Yao

  • Parallel Problem Solving from Nature - PPSN VIII

    Xin Yao;Edmund K. Burke;José A. Lozano;Jim Smith

  • Diversity creation methods: a survey and categorisation

    Gavin Brown;Jeremy L. Wyatt;Rachel Harris;Xin Yao

  • A new evolutionary system for evolving artificial neural networks

    X. Yao;Y. Liu

  • Large scale evolutionary optimization using cooperative coevolution

    Zhenyu Yang;Ke Tang;Xin Yao

  • MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning

    Sukarna Barua;Monirul Islam;Xin Yao;Kazuyuki Murase

  • A review of evolutionary artificial neural networks

    Xin Yao

  • Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization

    K. Tang;X. Yao;P. N. Suganthan;C. MacNish

  • Ensemble learning via negative correlation

    Y. Liu;X. Yao

  • Many-Objective Evolutionary Algorithms: A Survey

    Bingdong Li;Jinlong Li;Ke Tang;Xin Yao

  • Cooperatively Coevolving Particle Swarms for Large Scale Optimization

    Xiaodong Li;Xin Yao

  • Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

    Mohammad Nabi Omidvar;Xiaodong Li;Yi Mei;Xin Yao

  • A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization

    Yuan Yuan;Hua Xu;Bo Wang;Xin Yao

  • Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization

    Ke Li;Renzhi Chen;Guangtao Fu;Xin Yao

  • Multiclass Imbalance Problems: Analysis and Potential Solutions

    Shuo Wang;Xin Yao

  • Promises and challenges of evolvable hardware

    X. Yao;T. Higuchi

  • Evolutionary programming using mutations based on the Levy probability distribution

    Chang-Yong Lee;Xin Yao

  • Search biases in constrained evolutionary optimization

    T.P. Runarsson;Xin Yao

  • Parallel Problem Solving from Nature PPSN VI

    Marc Schoenauer;Kalyanmoy Deb;Günther Rudolph;Xin Yao

Frequent Co-Authors

Ke Tang
Ke Tang Southern University of Science and Technology
Leandro L. Minku
Leandro L. Minku University of Birmingham
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Yaochu Jin
Yaochu Jin Westlake University
Miqing Li
Miqing Li University of Birmingham
Xiaodong Li
Xiaodong Li University of Virginia
Peter Tino
Peter Tino University of Birmingham
Shengxiang Yang
Shengxiang Yang De Montfort University
Yi Mei
Yi Mei Victoria University of Wellington
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design

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