World's Best Scientists 2026 revealed!
Ligang Zhou

Ligang Zhou

D-Index & Metrics

Computer Science

D-Index
37
Citations
5408
World Ranking
10818
National Ranking
1337

Ligang Zhou 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 Ligang Zhou 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Ligang Zhou 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 Ligang Zhou 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Ligang Zhou is affiliated with Anhui University in China and has an extensive record of research predominantly focused on decision sciences and computer science. The scientist's work bridges theoretical and applied aspects within these fields, particularly emphasizing management science, operations research, and artificial intelligence.

Their research integrates a wide range of subfields, including management science and operations research, artificial intelligence, computational theory and mathematics, statistics and probability, as well as control and systems engineering. This interdisciplinary approach supports investigations into complex decision-making problems and advanced computational methods.

Ligang Zhou's main research topics encompass multi-criteria decision making, rough sets and fuzzy logic, Bayesian modeling and causal inference, fuzzy systems and optimization, cognitive science and mapping, optimization and mathematical programming, and fuzzy logic and control systems. These topics demonstrate a consistent focus on mathematical and computational techniques for decision and system modeling.

The scientist has contributed significantly to several frequent publication venues, collaborating with journals that focus on artificial intelligence, fuzzy systems, and practical applications of expert systems. These venues include:

  • Engineering Applications of Artificial Intelligence
  • Journal of Intelligent & Fuzzy Systems
  • Expert Systems with Applications
  • Applied Soft Computing
  • Computers & Industrial Engineering

Ligang Zhou collaborates regularly with several co-authors, reflecting a network of research partnerships. Frequent collaborators include Qun Wu, Jinpei Liu, Huayou Chen, Feifei Jin, and Peng Wu. These co-authorships indicate active participation in group research endeavors related to decision-making and computational intelligence.

Among the recent published papers by Ligang Zhou are:

  • "A linguistic distribution behavioral multi-criteria group decision making model integrating extended generalized TODIM and quantum decision theory," 2020, Applied Soft Computing
  • "Consensus-Based Linguistic Distribution Large-Scale Group Decision Making Using Statistical Inference and Regret Theory," 2021, Group Decision and Negotiation
  • "Multi-criteria group decision-making for portfolio allocation with consensus reaching process under interval type-2 fuzzy environment," 2021, Information Sciences
  • "An integrated generalized TODIM model for portfolio selection based on financial performance of firms," 2022, Knowledge-Based Systems
  • "Regret-rejoice two-stage multiplicative DEA models-driven cross-efficiency evaluation with probabilistic linguistic information," 2023, Omega

Best Publications

  • An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods

    Qun Wu;Ligang Zhou;Ligang Zhou;Yu Chen;Yu Chen;Huayou Chen

  • Intuitionistic fuzzy geometric interaction averaging operators and their application to multi-criteria decision making

    Yingdong He;Huayou Chen;Ligang Zhou;Jinpei Liu

  • Least squares support vector machines ensemble models for credit scoring

    Ligang Zhou;Kin Keung Lai;Lean Yu

  • Generalized power aggregation operators and their applications in group decision making

    Ligang Zhou;Huayou Chen;Jinpei Liu

  • Continuous generalized OWA operator and its application to decision making

    Li-Gang Zhou;Hua-You Chen

  • Carbon price forecasting with variational mode decomposition and optimal combined model

    Jiaming Zhu;Peng Wu;Huayou Chen;Jinpei Liu

  • A generalization of the power aggregation operators for linguistic environment and its application in group decision making

    Ligang Zhou;Huayou Chen

  • Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making

    Feifei Jin;Lidan Pei;Huayou Chen;Ligang Zhou

  • Generalized ordered weighted logarithm aggregation operators and their applications to group decision making

    Li-Gang Zhou;Hua-you Chen

  • An approach to group decision making with interval fuzzy preference relations based on induced generalized continuous ordered weighted averaging operator

    Huayou Chen;Ligang Zhou

  • Some new Hamacher aggregation operators under single-valued neutrosophic 2-tuple linguistic environment and their applications to multi-attribute group decision making

    Qun Wu;Peng Wu;Ligang Zhou;Ligang Zhou;Huayou Chen

  • Multi-attribute decision making based on neutral averaging operators for intuitionistic fuzzy information

    Yingdong He;Huayou Chen;Zhen He;Ligang Zhou

  • A linguistic distribution behavioral multi-criteria group decision making model integrating extended generalized TODIM and quantum decision theory

    Qun Wu;Xinwang Liu;Xinwang Liu;Jindong Qin;Weizhong Wang

  • On compatibility of uncertain additive linguistic preference relations and its application in the group decision making

    Huayou Chen;Ligang Zhou;Bing Han

  • Regret-rejoice two-stage multiplicative DEA models-driven cross-efficiency evaluation with probabilistic linguistic information

    Unknown

  • Consensus-Based Linguistic Distribution Large-Scale Group Decision Making Using Statistical Inference and Regret Theory.

    Feifei Jin;Jinpei Liu;Ligang Zhou;Luis Martínez

  • Induced and Linguistic Generalized Aggregation Operators and Their Application in Linguistic Group Decision Making

    José M. Merigó;Anna M. Gil-Lafuente;Li-Gang Zhou;Hua-You Chen

  • Credit scoring using support vector machines with direct search for parameters selection

    Ligang Zhou;Kin Keung Lai;Lean Yu

  • The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches

    Ligang Zhou;Dong Lu;Hamido Fujita

  • Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making

    Yingdong He;Huayou Chen;Ligang Zhou;Bing Han

  • Continuous interval-valued intuitionistic fuzzy aggregation operators and their applications to group decision making

    Ligang Zhou;Zhifu Tao;Huayou Chen;Jinpei Liu

  • Uncertain generalized aggregation operators

    Li-Gang Zhou;Hua-You Chen;José M. Merigó;Anna M. Gil-Lafuente

  • Additive Consistency of Hesitant Fuzzy Linguistic Preference Relation With a New Expansion Principle for Hesitant Fuzzy Linguistic Term Sets

    Peng Wu;Ligang Zhou;Huayou Chen;Zhifu Tao

Frequent Co-Authors

José M. Merigó
José M. Merigó University of Technology Sydney
Dejian Yu
Dejian Yu Nanjing Audit University
Nabil Alrajeh
Nabil Alrajeh King Saud University
Luis Martínez
Luis Martínez University of Jaén

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