World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9268
World Ranking
4401
National Ranking
592

Fu-Lai Chung 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 Fu-Lai Chung 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: 243 publications — 60th percentile

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

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

Fu-Lai Chung 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 Fu-Lai Chung 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Fu-Lai Chung is affiliated with the Hong Kong Polytechnic University in China. Their research primarily concentrates on the field of Computer Science, with a strong emphasis on Artificial Intelligence and its related subfields.

Their work spans several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Speech and Hearing
  • Statistical and Nonlinear Physics
  • Information Systems

Fu-Lai Chung's main research topics consist of:

  • Neural Networks and Applications
  • Fuzzy Logic and Control Systems
  • Face and Expression Recognition
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications
  • Noise Effects and Management

The scientist has published extensively, with numerous papers appearing in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • Information Sciences
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Some recent papers authored or co-authored by Fu-Lai Chung include:

  • Network Together: Node Classification via Cross-Network Deep Network Embedding, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Adversarial Deep Network Embedding for Cross-Network Node Classification, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Fuzzy Density Peaks Clustering, 2020, IEEE Transactions on Fuzzy Systems
  • Variational Metric Scaling for Metric-Based Meta-Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation, 2023, IEEE Transactions on Knowledge and Data Engineering

Fu-Lai Chung often collaborates with a core group of researchers, including:

  • Shitong Wang
  • Kuen Wai
  • Cheuk Ming Mak
  • Hai Ming Wong
  • Xiao Shen

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

  • Fuzzy competitive learning

    Fu Lai Chung;Tong Lee

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

    Yizhang Jiang;Dongrui Wu;Zhaohong Deng;Pengjiang Qian

  • An evolutionary approach to pattern-based time series segmentation

    Fu-Lai Chung;Tak-Chung Fu;V. Ng;R.W.P. Luk

  • Pattern discovery from stock time series using self-organizing maps

    TC Fu;FL Chung;R Luk;Ng

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

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

  • On multistage fuzzy neural network modeling

    Fu-Lai Chung;Ji-Cheng Duan

  • A collaborative filtering framework based on fuzzy association rules and multiple-level similarity

    Cane Wing-ki Leung;Stephen Chi-fai Chan;Fu-lai Chung

  • A novel image thresholding method based on Parzen window estimate

    Shitong Wang;Fu-lai Chung;Fusong Xiong

  • Flexible time series pattern matching based on perceptually important points

    FL Chung;TC Fu;R Luk;Ng

  • Knowledge-Leverage-Based TSK Fuzzy System Modeling

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

  • Stock time series pattern matching: Template-based vs. rule-based approaches

    Tak-chung Fu;Fu-lai Chung;Robert Luk;Chak-man Ng

  • 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

  • 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

  • An empirical study of a cross-level association rule mining approach to cold-start recommendations

    Cane Wing-ki Leung;Stephen Chi-fai Chan;Fu-lai Chung

  • Transfer Prototype-Based Fuzzy Clustering

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

  • Fragile watermarking scheme for image authentication

    Hongtao Lu;Ruiming Shen;Fu Lai Korris Chung

Frequent Co-Authors

Shitong Wang
Shitong Wang Jiangnan University
Kup-Sze Choi
Kup-Sze Choi Hong Kong Polytechnic University
Hongtao Lu
Hongtao Lu Shanghai Jiao Tong University
Wei Lu
Wei Lu Sun Yat-sen University
Wei Liu
Wei Liu Tencent (China)
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Heng Huang
Heng Huang University of Pittsburgh
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Cheng Deng
Cheng Deng Xidian University

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