World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
14866
World Ranking
8158
National Ranking
486

Xiao-Jun Zeng 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 Xiao-Jun Zeng 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Xiao-Jun Zeng 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 Xiao-Jun Zeng 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Xiao-Jun Zeng is affiliated with the University of Manchester in the United Kingdom and has contributed extensively to computer science research, with a particular focus on artificial intelligence and related subfields. They have a publication record of over 100 works, including frequent topics in multi-criteria decision making and rough sets and fuzzy logic.

Their research spans several subfields of computer science, including:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Key topics that appear prominently in their work include:

  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • Bayesian Modeling and Causal Inference
  • Complex Network Analysis Techniques
  • Complex Systems and Time Series Analysis
  • Sustainable Supply Chain Management
  • Advanced Text Analysis Techniques

Xiao-Jun Zeng has published research in a range of venues, with the most frequent including:

  • arXiv (Cornell University)
  • Expert Systems with Applications
  • Information Sciences
  • Applied Soft Computing
  • SSRN Electronic Journal

Recent papers illustrate the diversity of their research focus:

  • Dynamic clustering analysis for driving styles identification, 2020, Engineering Applications of Artificial Intelligence
  • An ensemble dynamic self-learning model for multiscale carbon price forecasting, 2022, Energy
  • An agglomerative hierarchical clustering algorithm for linear ordinal rankings, 2021, Information Sciences
  • Satisfaction-driven consensus model for social network MCGDM with incomplete information under probabilistic linguistic trust, 2021, Computers & Industrial Engineering
  • Data-driven modeling of technology acceptance: A machine learning perspective, 2021, Expert Systems with Applications

The scientist collaborates frequently with a core group of coauthors, including:

  • Zeshui Xu
  • Yanbing Ju
  • Ching-Hsun Tseng
  • Yuan Chai
  • Peiwu Dong

Best Publications

  • Twitter mood predicts the stock market.

    Johan Bollen;Huina Mao;Xiaojun Zeng

  • A Bibliometric Analysis and Visualization of Medical Big Data Research

    Huchang Liao;Ming Tang;Li Luo;Chunyang Li

  • Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making

    Huchang Liao;Huchang Liao;Zeshui Xu;Xiao-Jun Zeng

  • Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets

    Huchang Liao;Zeshui Xu;Xiao-Jun Zeng;José M. Merigó

  • Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making

    Huchang Liao;Zeshui Xu;Xiao-Jun Zeng

  • Approximation theory of fuzzy systems/spl minus/SISO case

    Xiao-Jun Zeng;M.G. Singh

  • Approximation accuracy analysis of fuzzy systems as function approximators

    Xiao-Jun Zeng;M.G. Singh

  • Approximation theory of fuzzy systems-MIMO case

    Unknown

  • Novel correlation coefficients between hesitant fuzzy sets and their application in decision making

    Huchang Liao;Zeshui Xu;Xiao-Jun Zeng

  • An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations

    Huchang Liao;Zeshui Xu;Xiao-Jun Zeng;Dong-Ling Xu

  • T–S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems

    Qing Gao;Xiao-Jun Zeng;Gang Feng;Yong Wang

  • Comparing data mining methods with logistic regression in childhood obesity prediction

    Shaoyan Zhang;Christos Tjortjis;Xiaojun Zeng;Hong Qiao

  • Framework of Group Decision Making With Intuitionistic Fuzzy Preference Information

    Huchang Liao;Zeshui Xu;Xiao-Jun Zeng;Jose M. Merigo

  • Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges

    Hai Wang;Hai Wang;Zeshui Xu;Zeshui Xu;Xiao Jun Zeng

  • Fuzzy C-means++

    Adrian Stetco;Xiao-Jun Zeng;John Keane

  • Approximation Capabilities of Hierarchical Fuzzy Systems

    Xiao-Jun Zeng;J.A. Keane

  • Interval Multiobjective Optimization With Memetic Algorithms

    Jing Sun;Zhuang Miao;Dunwei Gong;Xiao-Jun Zeng

  • A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid

    Fan-Lin Meng;Xiao-Jun Zeng

  • A stochastic MPC based approach to integrated energy management in microgrids

    Yan Zhang;Fanlin Meng;Fanlin Meng;Rui Wang;Wanlu Zhu

  • A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid

    Fan-Lin Meng;Xiao-Jun Zeng

  • Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model

    Huina Mao;Xiao-Jun Zeng;Gang Leng;Yong-Jie Zhai

Frequent Co-Authors

Zeshui Xu
Zeshui Xu Sichuan University
Huchang Liao
Huchang Liao Sichuan University
Goran Nenadic
Goran Nenadic University of Manchester
Alan Jackson
Alan Jackson Arizona State University
Alistair Sutcliffe
Alistair Sutcliffe University of Manchester
Paul Rayson
Paul Rayson Lancaster University
Junfei Qiao
Junfei Qiao Beijing University of Technology
Pete Sawyer
Pete Sawyer Aston University
Gang Feng
Gang Feng City University of Hong Kong
Yong Wang
Yong Wang University of Science and Technology of China

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