World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11259
World Ranking
5829
National Ranking
771

Yi Peng 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 Yi Peng 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Yi Peng 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 Yi Peng 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Yi Peng is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the field of Computer Science, with considerable work focused on Management Science and Operations Research, Artificial Intelligence, Accounting, Economics and Econometrics, and Statistical and Nonlinear Physics.

The core topics Yi Peng addresses in their research include:

  • Multi-Criteria Decision Making
  • Financial Distress and Bankruptcy Prediction
  • Imbalanced Data Classification Techniques
  • Optimization and Mathematical Programming
  • Game Theory and Applications
  • Complex Network Analysis Techniques
  • Experimental Behavioral Economics Studies

Yi Peng has contributed research papers to several academic journals. Frequent venues of publication include:

  • Information Sciences
  • Journal of the Operational Research Society
  • Technological and Economic Development of Economy
  • European Journal of Operational Research
  • IEEE Transactions on Systems Man and Cybernetics Systems

Recent published papers authored or co-authored by Yi Peng include:

  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020, Decision Support Systems)
  • Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion (2020, European Journal of Operational Research)
  • Consensus reaching process in large-scale group decision making based on bounded confidence and social network (2022, European Journal of Operational Research)
  • An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data (2021, IEEE Transactions on Cybernetics)
  • Heterogeneous Large-Scale Group Decision Making Using Fuzzy Cluster Analysis and Its Application to Emergency Response Plan Selection (2021, IEEE Transactions on Systems Man and Cybernetics Systems)

Yi Peng collaborates regularly with several researchers, including Gang Kou, Tie Li, Xiangrui Chao, Fawaz E. Alsaadi, and Philip S. Yu. This network of frequent coauthors reflects a multidisciplinary approach to the topics studied.

Best Publications

  • Evaluation of clustering algorithms for financial risk analysis using MCDM methods

    Gang Kou;Yi Peng;Guoxun Wang

  • EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

    Gang Kou;Yanqun Lu;Yi Peng;Yong Shi

  • A descriptive framework for the field of data mining and knowledge discovery

    Yong Shi;Zhengxin Chen;Yi Peng

  • Soft consensus cost models for group decision making and economic interpretations

    Huanhuan Zhang;Gang Kou;Yi Peng

  • Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

    Gang Kou;Yong Xu;Yi Peng;Feng Shen

  • The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

    Daji Ergu;Gang Kou;Yi Peng;Yong Shi

  • Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

    Gang Kou;Pei Yang;Yi Peng;Feng Xiao

  • Optimization Based Data Mining: Theory and Applications

    Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: An application in financial inclusion

    Xiangrui Chao;Gang Kou;Yi Peng;Enrique Herrera Viedma;Enrique Herrera Viedma

  • A Group Decision Making Model for Integrating Heterogeneous Information

    Guangxu Li;Gang Kou;Yi Peng

  • Machine learning methods for systemic risk analysis in financial sectors

    Gang Kou;Xiangrui Chao;Yi Peng;Fawaz E. Alsaadi

  • A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP

    Daji Ergu;Daji Ergu;Gang Kou;Yi Peng;Yong Shi;Yong Shi

  • Understanding influence power of opinion leaders in e-commerce networks: An opinion dynamics theory perspective

    Yiyi Zhao;Gang Kou;Yi Peng;Yang Chen

  • FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms

    Yi Peng;Gang Kou;Guoxun Wang;Yong Shi

  • An incident information management framework based on data integration, data mining, and multi-criteria decision making

    Yi Peng;Yong Zhang;Yu Tang;Shiming Li

  • An empirical study of classification algorithm evaluation for financial risk prediction

    Yi Peng;Guoxun Wang;Gang Kou;Yong Shi

  • ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD

    Yi Peng;Gang Kou;Guoxun Wang;Wenshuai Wu

  • An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data.

    Tie Li;Gang Kou;Yi Peng;Philip S. Yu

  • Heterogeneous Large-Scale Group Decision Making Using Fuzzy Cluster Analysis and Its Application to Emergency Response Plan Selection

    Guangxu Li;Gang Kou;Yi Peng

  • DATA MINING VIA MULTIPLE CRITERIA LINEAR PROGRAMMING: APPLICATIONS IN CREDIT CARD PORTFOLIO MANAGEMENT

    Yong Shi;Yi Peng;Weixuan Xu;Xiaowo Tang

  • Network Intrusion Detection

    Yong Shi;Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning

    Min Peng;Yi Peng;Hong Chen

Frequent Co-Authors

Gang Kou
Gang Kou Southwestern University of Finance and Economics
Yong Shi
Yong Shi Chinese Academy of Sciences
Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Honggang Wang
Honggang Wang University of Massachusetts Dartmouth
Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Yucheng Dong
Yucheng Dong Sichuan University
Lean Yu
Lean Yu Academy of Mathematics and Systems Science
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University

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