World's Best Scientists 2026 revealed!

Peigen Li 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 Peigen Li 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+

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

Peigen Li 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 Peigen Li 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+

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

Overview

Peigen Li is affiliated with Huazhong University of Science and Technology in China and conducts research primarily in Mathematics and Agricultural and Biological Sciences. Their work spans several interdisciplinary topics connecting mathematical theory with practical applications in plant science and engineering.

The scientist's research covers multiple main topics including:

  • Mycorrhizal Fungi and Plant Interactions
  • Algebraic Geometry and Number Theory
  • Advanced Algebra and Geometry
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Aquaculture Nutrition and Growth

The following subfields represent areas where Peigen Li has contributed scholarly publications:

  • Plant Science
  • Industrial and Manufacturing Engineering
  • Materials Chemistry
  • Geometry and Topology
  • Computational Theory and Mathematics

Notable recent publications by Peigen Li include:

  • "Positive Effect of Ge Vacancies on Facilitating Band Convergence and Suppressing Bipolar Transport in GeTe-Based Alloys for High Thermoelectric Performance" (2020), published in Advanced Functional Materials
  • "Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm" (2020), published in Swarm and Evolutionary Computation
  • "An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop" (2021), published in Annals of Operations Research
  • "Sampling-based system reliability-based design optimization using composite active learning Kriging" (2020), published in Computers & Structures
  • "On Hermite-Hadamard type inequalities for n-polynomial convex stochastic processes" (2021), published in AIMS Mathematics

Frequent coauthors collaborating with Peigen Li are:

  • Liang Gao (3 joint publications)
  • Xinyu Li (2 joint publications)
  • Yanlin Guo (2 joint publications)
  • Lei Zhang (2 joint publications)
  • Yi Liang (2 joint publications)

Peigen Li's research has been published in venues that include:

  • Frontiers in Plant Science
  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Advanced Functional Materials
  • Annals of Operations Research

Best Publications

  • An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

    Guohui Zhang;Xinyu Shao;Peigen Li;Liang Gao

  • A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem

    ChaoYong Zhang;PeiGen Li;ZaiLin Guan;YunQing Rao

  • Disassembly Sequence Planning Considering Fuzzy Component Quality and Varying Operational Cost

    Guangdong Tian;MengChu Zhou;Peigen Li

  • Operation patterns analysis of automotive components remanufacturing industry development in China

    Guangdong Tian;Guangdong Tian;Guangdong Tian;Honghao Zhang;Honghao Zhang;Yixiong Feng;Hongfei Jia

  • A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates

    Li Nie;Liang Gao;Peigen Li;Xinyu Li

  • A general failure-pursuing sampling framework for surrogate-based reliability analysis

    Chen Jiang;Haobo Qiu;Zan Yang;Liming Chen

  • A local adaptive sampling method for reliability-based design optimization using Kriging model

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Xiaoke Li

  • An adaptive decoupling approach for reliability-based design optimization

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Liu Su

  • Integrating data mining and rough set for customer group-based discovery of product configuration rules

    X.-Y Shao;Z.-H Wang;P.-G Li;C.-X. J Feng

  • A new subset based deep feature learning method for intelligent fault diagnosis of bearing

    Yuyan Zhang;Xinyu Li;Liang Gao;Peigen Li

  • An important boundary sampling method for reliability-based design optimization using kriging model

    Zhenzhong Chen;Siping Peng;Xiaoke Li;Haobo Qiu

  • A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem

    Kaipu Wang;Xinyu Li;Liang Gao;Peigen Li

  • Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm

    Guangchen Wang;Liang Gao;Xinyu Li;Peigen Li

  • An optimal shifting vector approach for efficient probabilistic design

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Peigen Li

  • Isogeometric topology optimization for continuum structures using density distribution function

    Jie Gao;Jie Gao;Liang Gao;Zhen Luo;Peigen Li

  • An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy

    Chen Jiang;Haobo Qiu;Liang Gao;Xiwen Cai

  • Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D

    Guangchen Wang;Xinyu Li;Liang Gao;Peigen Li

  • Design and implementation of a process-oriented intelligent collaborative product design system

    Yuliang Li;Xinyu Shao;Peigen Li;Qiong Liu

  • A new hybrid GA/SA algorithm for the job shop scheduling problem

    Chaoyong Zhang;Peigen Li;Yunqing Rao;Shuxia Li

  • A level set method for topological shape optimization of 3D structures with extrusion constraints

    Hao Li;Peigen Li;Liang Gao;Li Zhang

Frequent Co-Authors

Liang Gao
Liang Gao Huazhong University of Science and Technology
Xinyu Shao
Xinyu Shao Huazhong University of Science and Technology
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Chunming Wang
Chunming Wang Huazhong University of Science and Technology
Zhen Luo
Zhen Luo University of Technology Sydney
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Surendra M. Gupta
Surendra M. Gupta Northeastern University
John W. Sutherland
John W. Sutherland Purdue University West Lafayette
Handong Sun
Handong Sun Nanyang Technological University

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