World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
11066
World Ranking
2660
National Ranking
366

Hong-yu Zhang 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 Hong-yu Zhang 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: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Hong-yu Zhang 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 Hong-yu Zhang 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Hong-yu Zhang is affiliated with Central South University in China and has contributed extensively to the field of Computer Science with a focus on Artificial Intelligence. Their research encompasses various subfields including Mechanical Engineering, Sociology and Political Science, Management Science and Operations Research, and Information Systems.

The scientist has published widely on topics such as Multi-Criteria Decision Making, Digital Marketing and Social Media, Intermetallics and Advanced Alloy Properties, Imbalanced Data Classification Techniques, Technology Adoption and User Behaviour, Rough Sets and Fuzzy Logic, and Titanium Alloys Microstructure and Properties.

Frequently co-authoring with collaborators, Hong-yu Zhang has worked closely with Jian-qiang Wang, Xiaokang Wang, Libin Liu, Haibin Zhu, and Ligang Zhang.

Key publication venues featuring their work include:

  • Journal of Intelligent & Fuzzy Systems
  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Computers & Industrial Engineering
  • Expert Systems

Recent significant papers authored or co-authored by Hong-yu Zhang are:

  • A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment (2020), Knowledge-Based Systems
  • Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data (2021), Tourism Management
  • Safety risk assessment of metro construction under epistemic uncertainty: An integrated framework using credal networks and the EDAS method (2021), Applied Soft Computing
  • The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model (2021), Group Decision and Negotiation
  • Customer purchase prediction from the perspective of imbalanced data: A machine learning framework based on factorization machine (2021), Expert Systems with Applications

Best Publications

  • Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems

    Juan-juan Peng;Jian-qiang Wang;Jing Wang;Hong-yu Zhang

  • Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems

    Jian-qiang Wang;Jia-ting Wu;Jing Wang;Hong-yu Zhang

  • Interval neutrosophic sets and their application in multicriteria decision making problems.

    Hong-yu Zhang;Jian-qiang Wang;Xiao-hong Chen

  • An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets

    Juan-juan Peng;Jian-qiang Wang;Hong-yu Zhang;Xiao-hong Chen

  • Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information

    Jian-qiang Wang;Lu Peng;Hong-yu Zhang;Xiao-hong Chen

  • An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods

    Zhang-peng Tian;Jian-qiang Wang;Hong-yu Zhang

  • Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project

    Le Wang;Hong-yu Zhang;Jian-qiang Wang;Lin Li

  • An Uncertain Linguistic Multi-criteria Group Decision-Making Method Based on a Cloud Model

    Jian-qiang Wang;Juan-juan Peng;Juan-juan Peng;Hong-yu Zhang;Tao Liu

  • Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers

    Jian-qiang Wang;Yong-xi Cao;Hong-yu Zhang

  • A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection

    Pu Ji;Hong-Yu Zhang;Jian-Qiang Wang

  • Cloud decision support model for selecting hotels on TripAdvisor.com with probabilistic linguistic information

    Hong-gang Peng;Hong-yu Zhang;Jian-qiang Wang

  • A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com

    Hong-yu Zhang;Pu Ji;Jian-qiang Wang;Xiao-hong Chen

  • An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets

    Hongyu Zhang;Jianqiang Wang;Xiaohong Chen

  • Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development

    Zhang-peng Tian;Jing Wang;Jian-qiang Wang;Hong-yu Zhang

  • An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets

    Jian-qiang Wang;Jing Wang;Qing-hui Chen;Hong-yu Zhang

  • Investment risk evaluation for new energy resources: An integrated decision support model based on regret theory and ELECTRE III

    Hong-gang Peng;Kai-wen Shen;Sang-sang He;Hong-yu Zhang

  • A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha

    Zhang-peng Tian;Jian-qiang Wang;Jing Wang;Hong-yu Zhang

  • Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets

    Zhang-peng Tian;Hong-yu Zhang;Jing Wang;Jian-qiang Wang

  • New operators on triangular intuitionistic fuzzy numbers and their applications in system fault analysis

    Jian-qiang Wang;Rongrong Nie;Hong-yu Zhang;Xiao-hong Chen

  • A likelihood-based TODIM approach based on multi-hesitant fuzzy linguistic information for evaluation in logistics outsourcing

    Jing Wang;Jian-qiang Wang;Hong-yu Zhang

  • Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers

    Jian-Qiang Wang;Jia-Ting Wu;Jing Wang;Hong-Yu Zhang

Frequent Co-Authors

Jianqiang Wang
Jianqiang Wang Central South University
Pei Wang
Pei Wang Shenzhen University

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