World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
22874
World Ranking
740
National Ranking
115

Yong Deng 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 Yong Deng 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: 442 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Yong Deng 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 Yong Deng 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Yong Deng is affiliated with the University of Electronic Science and Technology of China. Their research primarily focuses on the field of Computer Science, with extensive work in Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Computational Theory and Mathematics, and Statistics and Probability.

The scientist's main research topics include:

  • Multi-Criteria Decision Making
  • Bayesian Modeling and Causal Inference
  • Rough Sets and Fuzzy Logic
  • Statistical Mechanics and Entropy
  • Neural Networks and Applications
  • Fuzzy Systems and Optimization
  • Complex Network Analysis Techniques

Yong Deng has authored multiple papers, some of which have gained significant citations. Examples include:

  • Uncertainty Measure in Evidence Theory, 2020, published in Science China Information Sciences
  • Information Volume of Mass Function, 2020, published in International Journal of Computers Communications & Control
  • Random Permutation Set, 2022, published in International Journal of Computers Communications & Control

Frequent co-authors in Yong Deng's research activities include Qianli Zhou, Kang Hao Cheong, Lipeng Pan, Zhen Li, and Xiaozhuan Gao. The collaboration with these researchers reflects a consistent engagement with peers contributing to similar or complementary specializations.

In terms of publication venues, Yong Deng has contributed extensively to:

  • arXiv (Cornell University)
  • Information Sciences
  • Engineering Applications of Artificial Intelligence
  • Applied Intelligence
  • Soft Computing

Yong Deng has also authored a book titled China's Strategic Opportunity published by Cambridge University Press in 2022.

Best Publications

  • An improved method to construct basic probability assignment based on the confusion matrix for classification problem

    Xinyang Deng;Qi Liu;Yong Deng;Sankaran Mahadevan

  • Supplier selection using AHP methodology extended by D numbers

    Xinyang Deng;Yong Hu;Yong Deng;Yong Deng;Sankaran Mahadevan

  • Short communication: Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment

    Yong Deng;Yuxin Chen;Yajuan Zhang;Sankaran Mahadevan

  • Uncertainty measure in evidence theory

    Yong Deng

  • A new fuzzy dempster MCDM method and its application in supplier selection

    Yong Deng;Felix T. S. Chan

  • Generalized evidence theory

    Yong Deng

  • Determine the Number of Unknown Targets in Open World Based on Elbow Method

    Fan Liu;Yong Deng

  • Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient

    Honghui Xu;Yong Deng

  • A Method of Converting Z-number to Classical Fuzzy Number

    Bingyi Kang;Daijun Wei;Ya Li;Yong Deng

  • Identifying influential nodes in weighted networks based on evidence theory

    Daijun Wei;Daijun Wei;Xinyang Deng;Xiaoge Zhang;Yong Deng;Yong Deng

  • Evidential Supplier Selection Based on DEMATEL and Game Theory

    Tianyu Liu;Tianyu Liu;Yong Deng;Yong Deng;Yong Deng;Felix T. S. Chan

  • A new method of identifying influential nodes in complex networks based on TOPSIS

    Yuxian Du;Cai Gao;Yong Hu;Sankaran Mahadevan

  • An Improved Genetic Algorithm with Initial Population Strategy for Symmetric TSP

    Yong Deng;Yang Liu;Deyun Zhou

  • Combining conflicting evidence using the DEMATEL method

    Weiquan Zhang;Yong Deng

  • An evidential DEMATEL method to identify critical success factors in emergency management

    Ya Li;Yong Hu;Xiaoge Zhang;Yong Deng;Yong Deng

  • Preparation of paraffin/expanded vermiculite with enhanced thermal conductivity by implanting network carbon in vermiculite layers

    Wei-min Guan;Jin-hong Li;Ting-ting Qian;Xiang Wang

  • Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP

    Xiaoyan Su;Sankaran Mahadevan;Peida Xu;Yong Deng

  • D-DEMATEL: a new method to identify critical success factors in emergency management

    Xinyi Zhou;Yangqiuyan Shi;Xinyang Deng;Yong Deng

  • Failure Mode and Effects Analysis Based on D Numbers and Topsis

    Tian Bian;Tian Bian;Haoyang Zheng;Likang Yin;Yong Deng;Yong Deng

  • Evaluating Sensor Reliability in Classification Problems Based on Evidence Theory

    Huawei Guo;Wenkang Shi;Yong Deng

  • Ranking fuzzy numbers with an area method using radius of gyration

    Yong Deng;Zhu Zhenfu;Liu Qi

Frequent Co-Authors

Sankaran Mahadevan
Sankaran Mahadevan Vanderbilt University
Xinyang Deng
Xinyang Deng Northwestern Polytechnical University
Rehan Sadiq
Rehan Sadiq University of British Columbia
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Wen Jiang
Wen Jiang Northwestern Polytechnical University
Andrew Adamatzky
Andrew Adamatzky University of the West of England
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Yu Shyr
Yu Shyr Vanderbilt University Medical Center
Kasun Hewage
Kasun Hewage University of British Columbia
Xin-She Yang
Xin-She Yang Middlesex University

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