World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8538
World Ranking
6854
National Ranking
17

Yi Mei 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 Yi Mei 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Yi Mei 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 Yi Mei 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Yi Mei is affiliated with Victoria University of Wellington in New Zealand and has an established publication record primarily in computer science and engineering. Their research spans several subfields including artificial intelligence, industrial and manufacturing engineering, computational theory and mathematics, electrical and electronic engineering, and control and systems engineering.

The scientist's work focuses on various advanced topics, notably metaheuristic optimization algorithms research, evolutionary algorithms and their applications, scheduling and optimization algorithms, vehicle routing optimization methods, advanced multi-objective optimization algorithms, advanced control systems optimization, and robotic path planning algorithms.

Frequent coauthors in their research include Mengjie Zhang, Fangfang Zhang, Su Nguyen, Ya-Hui Jia, and Zhixing Huang.

Yi Mei has contributed extensively to several publication venues, with frequent appearances in:

  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • IEEE Transactions on Cybernetics
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Selected recent papers authored or coauthored by Yi Mei include:

  • "Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling", 2020, IEEE Transactions on Cybernetics
  • "Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling", 2021, IEEE Transactions on Evolutionary Computation
  • "A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem", 2021, IEEE Transactions on Cybernetics
  • "Explainable Artificial Intelligence by Genetic Programming: A Survey", 2022, IEEE Transactions on Evolutionary Computation
  • "Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling", 2021, IEEE Transactions on Cybernetics

Yi Mei has also authored a book published by Springer Nature titled "Genetic Programming for Production Scheduling," released in 2021.

Best Publications

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

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

  • DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization

    Mohammad Nabi Omidvar;Ming Yang;Yi Mei;Xiaodong Li

  • Genetic programming for production scheduling: a survey with a unified framework

    Su Nguyen;Yi Mei;Mengjie Zhang

  • A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization

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

  • Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

  • Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems

    Ke Tang;Yi Mei;Xin Yao

  • A survey on evolutionary machine learning

    Harith Al-Sahaf;Ying Bi;Qi Chen;Andrew Lensen

  • Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem.

    Ya-Hui Jia;Yi Mei;Mengjie Zhang

  • Explainable Artificial Intelligence by Genetic Programming: A Survey

    Unknown

  • Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems

    Yi Mei;Xiaodong Li;Xin Yao

  • An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization

    Jianhua Liu;Yi Mei;Xiaodong Li

  • Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling

    Unknown

  • An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming

    Yi Mei;Su Nguyen;Bing Xue;Mengjie Zhang

  • Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.

    Fangfang Zhang;Yi Mei;Su Nguyen;Kay Chen Tan

  • Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling

    Unknown

  • An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling

    John Park;Yi Mei;Su Nguyen;Su Nguyen;Gang Chen

  • Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO

    Md. Jakirul Islam;Xiaodong Li;Yi Mei

  • A Memetic Algorithm for Periodic Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

  • Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms

    Mohammad Nabi Omidvar;Yi Mei;Xiaodong Li

  • On investigation of interdependence between sub-problems of the Travelling Thief Problem

    Yi Mei;Xiaodong Li;Xin Yao

  • A Global Repair Operator for Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

Frequent Co-Authors

Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Su Nguyen
Su Nguyen RMIT University
Xin Yao
Xin Yao Lingnan University
Xiaodong Li
Xiaodong Li University of Virginia
Ke Tang
Ke Tang Southern University of Science and Technology
Jinyan Li
Jinyan Li University of Technology Sydney
Bing Xue
Bing Xue Victoria University of Wellington
Andreas T. Ernst
Andreas T. Ernst Monash University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Fu-Yun Zhao
Fu-Yun Zhao Wuhan University

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