World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8556
World Ranking
7187
National Ranking
951

Zhongzhi Shi 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 Zhongzhi Shi 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: 511 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Zhongzhi Shi 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 Zhongzhi Shi 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Zhongzhi Shi is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple fields including Computer Science, Neuroscience, and Engineering, with a focus on subfields such as Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Cellular and Molecular Neuroscience.

Their work addresses several main topics:

  • Multimodal Machine Learning Applications
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Metaheuristic Optimization Algorithms Research
  • Computability, Logic, AI Algorithms
  • AI-based Problem Solving and Planning

Zhongzhi Shi's recent papers include:

  • Integrating Scene Semantic Knowledge into Image Captioning, 2021, ACM Transactions on Multimedia Computing Communications and Applications
  • Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • On rule acquisition methods for data classification in heterogeneous incomplete decision systems, 2020, Knowledge-Based Systems
  • Hybrid particle swarm optimization with adaptive learning strategy, 2024, Soft Computing
  • Multi-Objective Aerodynamic Optimization of a High-Speed Train Head Shape Based on an Optimal Kriging Model, 2022, Journal of Applied Fluid Mechanics

Their frequent coauthors have included:

  • D. Tian
  • Haiyang Wei
  • Zhixin Li
  • Feicheng Huang
  • Canlong Zhang

Their work has been published in several journals and venues such as:

  • ACM Transactions on Multimedia Computing Communications and Applications
  • IEEE Transactions on Neural Networks and Learning Systems
  • Knowledge-Based Systems
  • Soft Computing
  • Journal of Applied Fluid Mechanics

Zhongzhi Shi has also contributed to academic books, primarily published by Springer Science+Business Media and World Scientific. Their books include:

  • Intelligence Science III (2021)
  • Intelligent Information Processing X (2020)
  • Intelligent Information Processing XI (2022)
  • Intelligence Science IV (2022)
  • Intelligent Information Processing XII (2024)
  • Intelligence Science V (2024)
  • Advanced Artificial Intelligence (2024)

Best Publications

  • THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

    Jiye Liang;Jiye Liang;Zhongzhi Shi

  • Information entropy, rough entropy and knowledge granulation in incomplete information systems

    Jiye Liang;Z. Shi;Deyu Li;Mark J. Wierman

  • Parallel Implementation of Apriori Algorithm Based on MapReduce

    Ning Li;Li Zeng;Qing He;Zhongzhi Shi

  • A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets

    Zuqiang Meng;Zhongzhi Shi

  • Pessimistic rough set based decisions: A multigranulation fusion strategy

    Yuhua Qian;Shunyong Li;Jiye Liang;Zhongzhi Shi

  • Parallel extreme learning machine for regression based on MapReduce

    Qing He;Tianfeng Shang;Fuzhen Zhuang;Zhongzhi Shi

  • Integrating knowledge management and ERP in enterprise information systems

    Lida Xu;Chengen Wang;Xiaochuan Luo;Zhongzhi Shi

  • Extreme support vector machine classifier

    Qiuge Liu;Qing He;Zhongzhi Shi

  • Exploiting associations between word clusters and document classes for cross-domain text categorization

    Fuzhen Zhuang;Ping Luo;Hui Xiong;Qing He

  • FORMANAGER: an office forms management system

    S. Bing Yao;Alan R. Hevner;Zhongzhi Shi;Dawei Luo

  • Learning deep representations via extreme learning machines

    Wenchao Yu;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • An improved density peaks clustering algorithm with fast finding cluster centers

    Xiao Xu;Shifei Ding;Shifei Ding;Zhongzhi Shi

  • Distributed data mining: a survey

    Li Zeng;Ling Li;Lian Duan;Lian Duan;Kevin Lu

  • The Semantic Web – ASWC 2006

    Riichiro Mizoguchi;Zhongzhi Shi;Fausto Giunchiglia

  • Clustering in extreme learning machine feature space

    Qing He;Xin Jin;Changying Du;Fuzhen Zhuang

  • Energy model for rumor propagation on social networks

    Shuo Han;Fuzhen Zhuang;Qing He;Zhongzhi Shi

  • Chaotic particle swarm optimization with sigmoid-based acceleration coefficients for numerical function optimization

    Dongping Tian;Xiaofei Zhao;Zhongzhi Shi

  • Techniques, Process, and Enterprise Solutions of Business Intelligence

    Li Zeng;Lida Xu;Zhongzhi Shi;Maoguang Wang

  • Advanced Artificial Intelligence

    Unknown

  • Distributed classification in peer-to-peer networks

    Ping Luo;Hui Xiong;Kevin Lü;Zhongzhi Shi

  • Unsupervised extreme learning machine with representational features

    Shifei Ding;Shifei Ding;Nan Zhang;Nan Zhang;Jian Zhang;Jian Zhang;Xinzheng Xu;Xinzheng Xu

  • Flood decision support system on agent grid: method and implementation

    J. Luo;L. Xu;J. P. Jamont;L. Zeng

  • MSMiner-a developing platform for OLAP

    Zhongzhi Shi;Youping Huang;Qing He;Lida Xu

Frequent Co-Authors

Qing He
Qing He University of Chinese Academy of Sciences
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Shifei Ding
Shifei Ding China University of Mining and Technology
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Li Da Xu
Li Da Xu Old Dominion University
Chuan Shi
Chuan Shi Beijing University of Posts and Telecommunications
Jiye Liang
Jiye Liang Shanxi University
Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
David B. Leake
David B. Leake Indiana University
Jinhua Zheng
Jinhua Zheng Xiangtan University

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