World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6661
World Ranking
8884
National Ranking
354

JingTao Yao 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 JingTao Yao 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: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

JingTao Yao 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 JingTao Yao 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

JingTao Yao is affiliated with the University of Regina in Canada and has contributed extensively to the field of computer science, focusing on areas such as artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, electrical and electronic engineering, and management science and operations research.

The scientist's research primarily encompasses core topics including rough sets and fuzzy logic, imbalanced data classification techniques, anomaly detection techniques and applications, text and document classification technologies, data mining algorithms and applications, and computational drug discovery methods.

Yao's publication record includes multiple papers across various journals and conferences. Recent papers include:

  • A three-way density peak clustering method based on evidence theory, 2020, Knowledge-Based Systems
  • Online pricing of demand response based on long short-term memory and reinforcement learning, 2020, Applied Energy
  • A three-way clustering approach for novelty detection, 2021, Information Sciences
  • Influence of Individual-technology-task-environment Fit on University Student Online Learning Performance: The Mediating Role of Behavioral, Emotional, and Cognitive Engagement, 2023, Education and Information Technologies
  • Formal concept analysis, rough sets, and three-way decisions, 2021, International Journal of Approximate Reasoning

The venues where Yao frequently publishes include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • International Journal of Approximate Reasoning
  • Knowledge-Based Systems
  • Applied Energy

Several coauthors have frequently collaborated with Yao, notably Nouman Azam, Yiyu Yao, Hui Yu, Anwar Shah, and Bahar Ali.

In addition to journal publications, Yao has contributed to book literature with a publication under Springer Science+Business Media. The book titled "Rough Sets" was published in 2022.

Best Publications

  • Granular Computing: Perspectives and Challenges

    Jing Tao Yao;Athanasios V. Vasilakos;Witold Pedrycz

  • A case study on using neural networks to perform technical forecasting of forex

    Jingtao Yao;Chew Lim Tan

  • Option price forecasting using neural networks

    Jingtao Yao;Yili Li;Chew Lim Tan

  • NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI

    Jingtao Yao;Chew Lim Tan;Hean-Lee Poh

  • Game-Theoretic Rough Sets

    Joseph P. Herbert;Jingtao Yao

  • Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets

    JingTao Yao;Nouman Azam

  • Comparison of term frequency and document frequency based feature selection metrics in text categorization

    Nouman Azam;JingTao Yao

  • Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets

    Nouman Azam;Jingtao Yao

  • Induction of Classification Rules by Granular Computing

    J. T. Yao;Y. Y. Yao

  • A Ten-year Review of Granular Computing

    JingTao Yao

  • Modelling Multi-agent Three-way Decisions with Decision-theoretic Rough Sets

    Xiaoping Yang;Jingtao Yao

  • A three-way clustering approach for handling missing data using GTRS

    Mohammad Khan Afridi;Nouman Azam;JingTao Yao;Eisa Alanazi

  • Granular Computing as a Basis for Consistent Classification Problems

    Y.Y. Yao;J.T. Yao

  • Game theoretic approach to shadowed sets: A three-way tradeoff perspective

    Yan Zhang;JingTao Yao

  • Information granulation and granular relationships

    J.T. Yao

  • A study on fuzzy intrusion detection

    Jingtao Yao;Songlun Zhao;Lawrence V. Saxton

  • A New Improved K-Means Algorithm with Penalized Term

    Zejin Ding;Jian Yu;Yan-Qing Zhang

  • A three-way density peak clustering method based on evidence theory

    Hui Yu;LuYuan Chen;JingTao Yao

  • Forecasting and Analysis of Marketing Data Using Neural Networks

    Jingtao Yao;Nicholas Teng;Hean-Lee Poh;Chew Lim Tan

  • A rough sets based approach to feature selection

    M. Zhang;J.T. Yao

  • Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation

    JingTao Yao

Frequent Co-Authors

Yiyu Yao
Yiyu Yao University of Regina
Chew Lim Tan
Chew Lim Tan National University of Singapore
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Vijay V. Raghavan
Vijay V. Raghavan University of Louisiana at Lafayette
Pawan Lingras
Pawan Lingras Saint Mary's University
Dun Liu
Dun Liu Southwest Jiaotong University
Duoqian Miao
Duoqian Miao Tongji University
Wojciech Ziarko
Wojciech Ziarko University of Regina
Nick Cercone
Nick Cercone York University
Witold Pedrycz
Witold Pedrycz University of Alberta

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