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Yejun Xu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 47 6615 6424 889 883 144 6770

Yejun Xu publications per year

The chart shows the history of publications by Yejun Xu between 2007 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yejun Xu published across 20 years, from 2007 to 2026, averaging 10.1 papers a year. Output peaked at 29 publications in 2023. 29 of the 201 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2007 to 2026. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2023. 2007: 1 publication 2008: 4 publications 2009: 1 publication 2010: 5 publications 2011: 4 publications 2012: 6 publications 2013: 12 publications 2014: 14 publications 2015: 9 publications 2016: 14 publications 2017: 6 publications 2018: 9 publications 2019: 17 publications 2020: 5 publications 2021: 10 publications 2022: 16 publications 2023: 29 publications 2024: 10 publications 2025: 28 publications 2026: 1 publication
2007 2026

201 publications in total across all disciplines

View publications per year as a table
Yejun Xu: publications per year, 2007 to 2026
Year Publications
2007 1
2008 4
2009 1
2010 5
2011 4
2012 6
2013 12
2014 14
2015 9
2016 14
2017 6
2018 9
2019 17
2020 5
2021 10
2022 16
2023 29
2024 10
2025 28
2026 1
Total 201
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 144
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 46–47 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689 47
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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

External Links

Personal website of Yejun Xu Google Scholar page

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Best Scientists Citing Yejun Xu

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 98

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 58

Ligang Zhou

Ligang Zhou

Anhui University

Publications: 56

Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

Publications: 56

Huchang Liao

Huchang Liao

Sichuan University

Publications: 47

José M. Merigó

José M. Merigó

University of Technology Sydney

Publications: 47

Yucheng Dong

Yucheng Dong

Sichuan University

Publications: 43

Luis Martínez

Luis Martínez

University of Jaén

Publications: 41

Jianqiang Wang

Jianqiang Wang

Central South University

Publications: 37

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 36

Peide Liu

Peide Liu

Shandong University of Finance and Economics

Publications: 27

Francisco Chiclana

Francisco Chiclana

De Montfort University

Publications: 27

Hengjie Zhang

Hengjie Zhang

Hohai University

Publications: 24

Guiwu Wei

Guiwu Wei

Sichuan Normal University

Publications: 23

Shu-Ping Wan

Shu-Ping Wan

Jiangxi University of Finance and Economics

Publications: 22

Rosa M. Rodríguez

Rosa M. Rodríguez

University of Jaén

Publications: 22

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