World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
6564
World Ranking
6619
National Ranking
890

Dun Liu 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 Dun Liu 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: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Dun Liu 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 Dun Liu 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

Dun Liu is affiliated with Southwest Jiaotong University in China. Their research primarily focuses on the field of Computer Science, with particular attention to several subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Information Systems.

The main research topics covered by Dun Liu include:

  • Rough Sets and Fuzzy Logic
  • Multi-Criteria Decision Making
  • Data Mining Algorithms and Applications
  • Text and Document Classification Technologies
  • Data Management and Algorithms
  • Imbalanced Data Classification Techniques
  • Sentiment Analysis and Opinion Mining

Dun Liu has contributed to a number of journal articles. Selected papers include:

  • Three-way decisions: beyond rough sets and granular computing (2020), International Journal of Machine Learning and Cybernetics
  • The effectiveness of three-way classification with interpretable perspective (2021), Information Sciences

Frequent coauthors of Dun Liu are:

  • Tianrui Li
  • Xin Yang
  • Xibei Yang
  • Keyu Liu
  • Yinfeng Du

The venues where Dun Liu has frequently published include:

  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • IEEE Transactions on Fuzzy Systems
  • Computers & Industrial Engineering
  • International Journal of Approximate Reasoning

Dun Liu has also contributed to book publications, including a work published by University Library Heidelberg titled Un chapitre de l'histoire des mathématiques en Chine réexaminé (2020).

Best Publications

  • A novel three-way decision model based on incomplete information system

    Dun Liu;Decui Liang;Changchun Wang

  • Method for three-way decisions using ideal TOPSIS solutions at Pythagorean fuzzy information

    Decui Liang;Zeshui Xu;Dun Liu;Yao Wu

  • Incorporating logistic regression to decision-theoretic rough sets for classifications

    Dun Liu;Tianrui Li;Decui Liang

  • A fuzzy rough set approach for incremental feature selection on hybrid information systems

    Anping Zeng;Tianrui Li;Dun Liu;Junbo Zhang

  • Deriving three-way decisions from intuitionistic fuzzy decision-theoretic rough sets

    Decui Liang;Dun Liu

  • Triangular fuzzy decision-theoretic rough sets

    Decui Liang;Decui Liang;Dun Liu;Witold Pedrycz;Witold Pedrycz;Pei Hu

  • Three-way Investment Decisions with Decision-theoretic Rough Sets

    Dun Liu;Yiyu Yao;Tianrui Li

  • A Novel Risk Decision Making Based on Decision-Theoretic Rough Sets Under Hesitant Fuzzy Information

    Decui Liang;Dun Liu

  • Probabilistic model criteria with decision-theoretic rough sets

    Dun Liu;Tianrui Li;Da Ruan

  • Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making

    Decui Liang;Witold Pedrycz;Dun Liu;Pei Hu

  • Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems

    Junbo Zhang;Tianrui Li;Da Ruan;Dun Liu

  • Systematic studies on three-way decisions with interval-valued decision-theoretic rough sets

    Decui Liang;Dun Liu

  • Neighborhood rough sets for dynamic data mining

    Junbo Zhang;Tianrui Li;Da Ruan;Dun Liu

  • A unified model of sequential three-way decisions and multilevel incremental processing

    Xin Yang;Xin Yang;Tianrui Li;Hamido Fujita;Dun Liu

  • Incremental updating approximations in dominance-based rough sets approach under the variation of the attribute set

    Shaoyong Li;Tianrui Li;Dun Liu

  • A Multiple-category Classification Approach with Decision-theoretic Rough Sets

    Dun Liu;Tianrui Li;Huaxiong Li

  • THREE-WAY GOVERNMENT DECISION ANALYSIS WITH DECISION-THEORETIC ROUGH SETS

    Dun Liu;Tianrui Li;Decui Liang

  • Risk appetite dual hesitant fuzzy three-way decisions with TODIM

    Decui Liang;Mingwei Wang;Zeshui Xu;Dun Liu

  • Three-way decisions based on decision-theoretic rough sets with dual hesitant fuzzy information

    Decui Liang;Zeshui Xu;Dun Liu

  • An efficient selector for multi-granularity attribute reduction

    Keyu Liu;Xibei Yang;Hamido Fujita;Dun Liu

  • An Incremental Approach for Inducing Knowledge from Dynamic Information Systems

    Dun Liu;Tianrui Li;Da Ruan;Weili Zou

Frequent Co-Authors

Tianrui Li
Tianrui Li Southwest Jiaotong University
Decui Liang
Decui Liang University of Electronic Science and Technology of China
Xibei Yang
Xibei Yang Jiangsu University of Science and Technology
Zeshui Xu
Zeshui Xu Sichuan University
Witold Pedrycz
Witold Pedrycz University of Alberta
Yuhua Qian
Yuhua Qian Shanxi University
Yiyu Yao
Yiyu Yao University of Regina
Da Ruan
Da Ruan Ghent University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Xianzhong Zhou
Xianzhong Zhou Nanjing University

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