World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5998
World Ranking
9807
National Ranking
1230

Kup-Sze Choi 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 Kup-Sze Choi 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Kup-Sze Choi 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 Kup-Sze Choi 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Kup-Sze Choi is affiliated with the Hong Kong Polytechnic University in China and has a significant research output primarily in the field of Computer Science. Their work encompasses a range of subfields, with notable contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The scientist has published extensively on topics such as EEG and Brain-Computer Interfaces, Text and Document Classification Technologies, Face and Expression Recognition, Domain Adaptation and Few-Shot Learning, Blind Source Separation Techniques, Gaze Tracking and Assistive Technology, and Advanced Neural Network Applications.

Frequent coauthors associated with Kup-Sze Choi include:

  • Shitong Wang
  • Zhaohong Deng
  • Qiongdan Lou
  • Guanjin Wang
  • Shuang Liang

Key publication venues where Kup-Sze Choi's research has appeared are:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Briefings in Bioinformatics
  • Neurocomputing

Selected recent papers include:

  • The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis (2020), published in European Review of Aging and Physical Activity
  • Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial (2020), published in JMIR mhealth and uhealth
  • Network Together: Node Classification via Cross-Network Deep Network Embedding (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • Adversarial Deep Network Embedding for Cross-Network Node Classification (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data (2020), published in IEEE Transactions on Cybernetics

Best Publications

  • Heartbeat classification using disease-specific feature selection

    Zhancheng Zhang;Jun Dong;Xiaoqing Luo;Kup-Sze Choi

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

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

  • 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

  • Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage

    Ken Ka-Yin Lee;Wai-Choi Tang;Kup-Sze Choi

  • 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

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

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

  • A virtual training simulator for learning cataract surgery with phacoemulsification

    Kup-Sze Choi;Sophia Soo;Fu-Lai Chung

  • Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation

    Wenlong Hang;Wenlong Hang;Wei Feng;Shuang Liang;Lequan Yu

  • Network Together: Node Classification via Cross-Network Deep Network Embedding

    Xiao Shen;Quanyu Dai;Sitong Mao;Fu-Lai Chung

  • Learning Blood Management in Orthopedic Surgery through Gameplay

    Jing Qin;Yim-Pan Chui;Wai-Man Pang;Kup-Sze Choi

  • 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

  • Interactive deformation of soft tissues with haptic feedback for medical learning

    Kup-Sze Choi;Hanqiu Sun;Pheng-Ann Heng

  • 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

  • Distance metric learning for soft subspace clustering in composite kernel space

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

Frequent Co-Authors

Shitong Wang
Shitong Wang Jiangnan University
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Jing Qin
Jing Qin Hong Kong Polytechnic University
Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
Baiying Lei
Baiying Lei Shenzhen University
Peng Xu
Peng Xu Chinese Academy of Sciences
Zhaohong Deng
Zhaohong Deng Jiangnan University
Jie Lu
Jie Lu University of Technology Sydney
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University

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