World's Best Scientists 2026 revealed!
Shitong Wang

Shitong Wang

D-Index & Metrics

Computer Science

D-Index
52
Citations
9215
World Ranking
5146
National Ranking
700

Shitong Wang 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 Shitong Wang 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: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Shitong Wang 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 Shitong Wang 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Shitong Wang is affiliated with Jiangnan University in China and has contributed to research across multiple fields, with a primary focus on computer science and molecular biology. Their academic output includes a range of publications examining different scientific and technological topics.

The scientist's research includes notable papers such as:

  • Tea polyphenols and their chemopreventive and therapeutic effects on colorectal cancer, 2020, World Journal of Gastroenterology

While their work intersects with others in related fields, co-authors frequently collaborating with Shitong Wang include Kup-Sze Choi, Zhaohong Deng, Fu-Lai Chung, Qiongdan Lou, and Zekang Bian.

Shitong Wang publishes regularly in several venues, especially those oriented toward systems and computational intelligence. Frequent publication venues comprise:

  • IEEE Transactions on Fuzzy Systems
  • arXiv (Cornell University)
  • Information Sciences
  • Knowledge-Based Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems

Their main field of study is Computer Science, with a substantial volume of work contributing to specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Urban Studies, and Radiology, Nuclear Medicine, and Imaging.

Key topics within their research focus include:

  • Face and Expression Recognition
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Text and Document Classification Technologies
  • Anomaly Detection Techniques and Applications
  • Advanced Clustering Algorithms Research
  • Machine Learning and ELM

Shitong Wang's work spans interdisciplinary themes that bridge computational methods with biological applications, as indicated by their publications on colorectal cancer and biochemical effects. Their research contributes to ongoing discussions in both applied computational systems and biomedical science contexts.

Best Publications

  • Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions

    Lin Zhu;Fu-Lai Chung;Shitong Wang

  • Enhanced soft subspace clustering integrating within-cluster and between-cluster information

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Collaborative Fuzzy Clustering From Multiple Weighted Views

    Yizhang Jiang;Fu-Lai Chung;Shitong Wang;Zhaohong Deng

  • Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

    Yizhang Jiang;Dongrui Wu;Zhaohong Deng;Pengjiang Qian

  • An introduction to autonomous control systems

    P.J. Antsaklis;K.M. Passino;S.J. Wang

  • Towards intelligent autonomous control systems: Architecture and fundamental issues

    Panos J. Antsaklis;Kevin M. Passino;S. J. Wang

  • Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

    Yizhang Jiang;Zhaohong Deng;Fu-Lai Chung;Guanjin Wang

  • Deep Takagi–Sugeno–Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules

    Yuanpeng Zhang;Hisao Ishibuchi;Shitong Wang

  • Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection

    Xiaobin Tian;Zhaohong Deng;Wenhao Ying;Kup-Sze Choi

  • A novel image thresholding method based on Parzen window estimate

    Shitong Wang;Fu-lai Chung;Fusong Xiong

  • Knowledge-Leverage-Based TSK Fuzzy System Modeling

    Zhaohong Deng;Yizhang Jiang;Kup-Sze Choi;Fu-Lai Chung

  • Robust fuzzy clustering-based image segmentation

    Zhang Yang;Fu-Lai Chung;Wang Shitong

  • Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal-Enclosing-Ball Approximation

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Generalized Hidden-Mapping Ridge Regression, Knowledge-Leveraged Inductive Transfer Learning for Neural Networks, Fuzzy Systems and Kernel Methods

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Shitong Wang

  • Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

    Yizhang Jiang;Fu-Lai Chung;Hisao Ishibuchi;Zhaohong Deng

  • Positive and negative fuzzy rule system, extreme learning machine and image classification

    Wu Jun;Wang Shitong;Wang Shitong;Fu-lai Chung

  • Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets

    Hongbin Shen;Jie Yang;Shitong Wang;Xiaojun Liu

  • A survey on soft subspace clustering

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Jun Wang

  • Transfer Prototype-Based Fuzzy Clustering

    Zhaohong Deng;Yizhang Jiang;Fu-Lai Chung;Hisao Ishibuchi

  • Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data

    Ta Zhou;Fu-Lai Chung;Shitong Wang

  • Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering

    Pengjiang Qian;Yizhang Jiang;Zhaohong Deng;Lingzhi Hu

Frequent Co-Authors

Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
Kup-Sze Choi
Kup-Sze Choi Hong Kong Polytechnic University
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Peng Xu
Peng Xu Chinese Academy of Sciences
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Longbing Cao
Longbing Cao University of Technology Sydney
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology

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