World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
6770
World Ranking
6615
National Ranking
889

Yejun Xu 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 Yejun Xu 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: 144 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Yejun Xu 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 Yejun Xu 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Yejun Xu is affiliated with Hohai University in China and has a significant body of research primarily focused on decision sciences and computer science. Their work spans various interrelated areas including management science and operations research, artificial intelligence, and optimization methodologies. The main topics addressed in their research include multi-criteria decision making, Bayesian modeling and causal inference, and game theory applications.

Xu's recent publications cover a range of subjects within decision sciences and applied computing. Notable papers include:

  • Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization (2020), published in Information Sciences
  • Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations (2021), published in Applied Soft Computing
  • Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns (2021), published in Information Fusion
  • Composite Decision Makers in the Graph Model for Conflict Resolution: Hesitant Fuzzy Preference Modeling (2020), published in IEEE Transactions on Systems Man and Cybernetics Systems
  • Fuzzy best-worst method and its application in initial water rights allocation (2020), published in Applied Soft Computing

The contributions by Xu have appeared frequently in several scholarly venues, with the most publications in Applied Soft Computing, Information Sciences, and Computers & Industrial Engineering. Other significant publication venues include IEEE Transactions on Systems Man and Cybernetics Systems and Information Fusion.

Xu collaborates regularly with a number of co-authors, reflecting interdisciplinary teamwork in their research. Frequent collaborators include Enrique Herrera-Viedma, Jing Huang, Mengqi Li, Xia Liu, and Nannan Wu.

Their research work tends to cover the following academic fields and subfields:

  • Computer Science
  • Decision Sciences
  • Management Science and Operations Research
  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering
  • Economics and Econometrics

Key topics within Xu's body of work emphasize methodologies and theory in:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Game Theory and Applications
  • Opinion Dynamics and Social Influence
  • Cognitive Science and Mapping
  • Optimization and Mathematical Programming
  • Game Theory and Voting Systems

Best Publications

  • A two-stage consensus method for large-scale multi-attribute group decision making with an application to earthquake shelter selection

    Yejun Xu;Xiaowei Wen;Wancheng Zhang

  • A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress

    R.M. Rodríguez;B. Bedregal;H. Bustince;Y.C. Dong

  • Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization.

    Yanling Lu;Yejun Xu;Enrique Herrera-Viedma;Enrique Herrera-Viedma;Yefan Han

  • A consensus model for hesitant fuzzy preference relations and its application in water allocation management

    Yejun Xu;Francisco Javier Cabrerizo;Enrique Herrera-Viedma;Enrique Herrera-Viedma

  • An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions

    Cong-Cong Li;Cong-Cong Li;Yucheng Dong;Yejun Xu;Francisco Chiclana;Francisco Chiclana

  • Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors

    Xia Liu;Xia Liu;Yejun Xu;Francisco Herrera;Francisco Herrera

  • Approaches based on 2-tuple linguistic power aggregation operators for multiple attribute group decision making under linguistic environment

    Yejun Xu;Huimin Wang

  • The induced generalized aggregation operators for intuitionistic fuzzy sets and their application in group decision making

    Yejun Xu;Huimin Wang

  • Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations

    Unknown

  • Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making

    Yejun Xu;Lei Chen;Rosa M. Rodríguez;Francisco Herrera

  • Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism

    Xia Liu;Xia Liu;Yejun Xu;Rosana Montes;Francisco Herrera;Francisco Herrera

  • Group decision making under hesitant fuzzy environment with application to personnel evaluation

    Dejian Yu;Wenyu Zhang;Yejun Xu

  • Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making

    Xia Liu;Yejun Xu;Rosana Montes;Ru-Xi Ding

  • The ordinal consistency of a fuzzy preference relation

    Yejun Xu;Ravi Patnayakuni;Huimin Wang

  • Distance-based consensus models for fuzzy and multiplicative preference relations

    Yejun Xu;Kevin W. Li;Huimin Wang

  • Linguistic power aggregation operators and their application to multiple attribute group decision making

    Yejun Xu;José M. Merigó;Huimin Wang

  • Least square completion and inconsistency repair methods for additively consistent fuzzy preference relations

    Xinwang Liu;Yuwen Pan;Yejun Xu;Shui Yu

  • Standard and mean deviation methods for linguistic group decision making and their applications

    Ye-Jun Xu;Qing-Li Da

  • Logarithmic least squares method to priority for group decision making with incomplete fuzzy preference relations

    Yejun Xu;Ravi Patnayakuni;Huimin Wang

  • Incomplete interval fuzzy preference relations and their applications

    Yejun Xu;Kevin W. Li;Huimin Wang

  • Normalizing rank aggregation method for priority of a fuzzy preference relation and its effectiveness

    YeJun Xu;QingLi Da;LiHua Liu

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
José M. Merigó
José M. Merigó University of Technology Sydney
Keith W. Hipel
Keith W. Hipel University of Waterloo
Rosa M. Rodríguez
Rosa M. Rodríguez University of Jaén
Francisco Javier Cabrerizo
Francisco Javier Cabrerizo University of Granada
Dejian Yu
Dejian Yu Nanjing Audit University
D. Marc Kilgour
D. Marc Kilgour Wilfrid Laurier University
Yucheng Dong
Yucheng Dong Sichuan University
Francisco Chiclana
Francisco Chiclana De Montfort University

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