World's Best Scientists 2026 revealed!
Zhaohong Deng

Zhaohong Deng

D-Index & Metrics

Computer Science

D-Index
36
Citations
4833
World Ranking
11345
National Ranking
1393

Zhaohong 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 Zhaohong 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Zhaohong 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 Zhaohong 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Zhaohong Deng is affiliated with Jiangnan University in China. Their research spans a range of topics primarily in computer science and biochemistry, genetics, and molecular biology, with a significant focus on artificial intelligence and bioinformatics.

Their work covers numerous specialized areas, including:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Radiology, Nuclear Medicine and Imaging

Key topics of research include:

  • Face and Expression Recognition
  • Text and Document Classification Technologies
  • Machine Learning in Bioinformatics
  • Computational Drug Discovery Methods
  • Advanced Clustering Algorithms Research
  • RNA and Protein Synthesis Mechanisms
  • Advanced Computing and Algorithms

Zhaohong Deng has published extensively, with their most frequent publication venues being:

  • IEEE Transactions on Fuzzy Systems
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Journal of Chemical Information and Modeling
  • IEEE Transactions on Emerging Topics in Computational Intelligence

Some recent papers authored or co-authored by Deng include:

  • Multi-View Clustering With the Cooperation of Visible and Hidden Views, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Transfer Representation Learning With TSK Fuzzy System, 2020, IEEE Transactions on Fuzzy Systems
  • Incomplete Multiple View Fuzzy Inference System With Missing View Imputation and Cooperative Learning, 2021, IEEE Transactions on Fuzzy Systems
  • Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation, 2022, Computer Methods and Programs in Biomedicine
  • High accuracy food image classification via vision transformer with data augmentation and feature augmentation, 2023, Journal of Food Engineering

Frequent co-authors collaborating with Deng are:

  • Kup-Sze Choi
  • Shitong Wang
  • Zhiyong Xiao
  • Qiongdan Lou
  • Te Zhang

Best Publications

  • 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

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

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

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

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

  • Knowledge-Leverage-Based TSK Fuzzy System Modeling

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

  • 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

  • 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

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

    Pengjiang Qian;Yizhang Jiang;Zhaohong Deng;Lingzhi Hu

  • Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques

    Guanjin Wang;Kin-Man Lam;Zhaohong Deng;Kup-Sze Choi

  • FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation

    Zhaohong Deng;Fu-Lai Chung;Shitong Wang

  • Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching.

    Pengjiang Qian;Pengjiang Qian;Pengjiang Qian;Kaifa Zhao;Yizhang Jiang;Kuan Hao Su

  • Minimax Probability TSK Fuzzy System Classifier: A More Transparent and Highly Interpretable Classification Model

    Zhaohong Deng;Longbing Cao;Yizhang Jiang;Shitong Wang

  • Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation

    Unknown

  • T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System

    Zhaohong Deng;Kup-Sze Choi;Longbing Cao;Shitong Wang

  • Knowledge-Leverage-Based Fuzzy System and Its Modeling

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

  • From Minimum Enclosing Ball to Fast Fuzzy Inference System Training on Large Datasets

    Fu-Lai Chung;Zhaohong Deng;Shitong Wang

  • Takagi–Sugeno–Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals

    Changjian Yang;Zhaohong Deng;Kup-Sze Choi;Shitong Wang

  • Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals

    Zhaohong Deng;Peng Xu;Lixiao Xie;Kup-Sze Choi

Frequent Co-Authors

Kup-Sze Choi
Kup-Sze Choi Hong Kong Polytechnic University
Peng Xu
Peng Xu Chinese Academy of Sciences
Longbing Cao
Longbing Cao University of Technology Sydney
Dongrui Wu
Dongrui Wu Huazhong University of Science and Technology

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