World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9807 9526 1230 1224 218 5998

Kup-Sze Choi publications per year

The chart shows the history of publications by Kup-Sze Choi between 2002 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kup-Sze Choi published across 25 years, from 2002 to 2026, averaging 10.8 papers a year. Output peaked at 36 publications in 2023. 9 of the 269 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2002 to 2026. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2023. 2002: 1 publication 2003: 1 publication 2004: 5 publications 2005: 0 publications 2006: 2 publications 2007: 4 publications 2008: 3 publications 2009: 4 publications 2010: 8 publications 2011: 6 publications 2012: 11 publications 2013: 11 publications 2014: 10 publications 2015: 15 publications 2016: 18 publications 2017: 19 publications 2018: 9 publications 2019: 18 publications 2020: 21 publications 2021: 23 publications 2022: 25 publications 2023: 36 publications 2024: 10 publications 2025: 8 publications 2026: 1 publication
2002 2026

269 publications in total across all disciplines

View publications per year as a table
Kup-Sze Choi: publications per year, 2002 to 2026
Year Publications
2002 1
2003 1
2004 5
2005 0
2006 2
2007 4
2008 3
2009 4
2010 8
2011 6
2012 11
2013 11
2014 10
2015 15
2016 18
2017 19
2018 9
2019 18
2020 21
2021 23
2022 25
2023 36
2024 10
2025 8
2026 1
Total 269
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 212–221 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490 218
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968 39
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a Computer Science degree can open doors to a wide variety of related online degrees and career paths. For those interested in broadening their skill set, accredited online electrical engineering programs are a great option. These programs offer flexible learning and are highly regarded by employers in tech and engineering fields.

If you’re looking for a quicker launch into the workforce, you might explore short certificate programs that pay well. These certificates can provide valuable technical skills in less time, often leading to lucrative job opportunities.

For students eager to advance their education rapidly, the quickest online masters degree options can help you earn a graduate credential without a lengthy time commitment. This is ideal for those who want to accelerate their career growth.

Finally, focusing on areas that lead to the most impact, the most worthwhile masters degrees can position you for roles in high demand, ensuring your investment in education pays off both professionally and financially.

Best Scientists Citing Kup-Sze Choi

Trending Scientists

Recently Published Articles