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Chee Keong Kwoh

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7245 7034 96 96 215 7740

Chee Keong Kwoh publications per year

The chart shows the history of publications by Chee Keong Kwoh between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chee Keong Kwoh published across 32 years, from 1994 to 2025, averaging 8.2 papers a year. Output peaked at 27 publications in 2020. 15 of the 263 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2020. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 4 publications 2000: 4 publications 2001: 5 publications 2002: 0 publications 2003: 1 publication 2004: 3 publications 2005: 6 publications 2006: 9 publications 2007: 7 publications 2008: 5 publications 2009: 7 publications 2010: 11 publications 2011: 12 publications 2012: 16 publications 2013: 17 publications 2014: 11 publications 2015: 11 publications 2016: 9 publications 2017: 4 publications 2018: 6 publications 2019: 14 publications 2020: 27 publications 2021: 25 publications 2022: 16 publications 2023: 15 publications 2024: 7 publications 2025: 8 publications
1994 2025

263 publications in total across all disciplines

View publications per year as a table
Chee Keong Kwoh: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 1
1998 1
1999 4
2000 4
2001 5
2002 0
2003 1
2004 3
2005 6
2006 9
2007 7
2008 5
2009 7
2010 11
2011 12
2012 16
2013 17
2014 11
2015 11
2016 9
2017 4
2018 6
2019 14
2020 27
2021 25
2022 16
2023 15
2024 7
2025 8
Total 263
Download as CSV

Chee Keong Kwoh 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 Chee Keong Kwoh 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: 215 publications — 52nd percentile

52% 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
212–221 490 215
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

Chee Keong Kwoh 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 Chee Keong Kwoh 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, 44–45 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: 45 D-Index — 51st percentile

51% 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
40–41 907
42–43 821
44–45 763 45
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

Chee Keong Kwoh is affiliated with Nanyang Technological University in Singapore. Their research spans multiple core areas within biochemistry, genetics, molecular biology, and computer science, with notable contributions intersecting both disciplines.

The primary fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Their subfields of expertise extend across:

  • Molecular Biology
  • Artificial Intelligence
  • Epidemiology
  • Signal Processing
  • Control and Systems Engineering

Kwoh's work covers a range of prominent research topics such as:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Influenza Virus Research Studies
  • Domain Adaptation and Few-Shot Learning
  • Bioinformatics and Genomic Networks
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications

Recent publications illustrate the interdisciplinary nature of Kwoh's work. Notable papers include:

  • "An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG" (2021) published in IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "Graph representation learning in bioinformatics: trends, methods and applications" (2021) published in Briefings in Bioinformatics
  • "Predicting human microbe-drug associations via graph convolutional network with conditional random field" (2020) published in Bioinformatics
  • "Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction" (2020) published in IEEE Transactions on Industrial Informatics
  • "Conditional Contrastive Domain Generalization for Fault Diagnosis" (2022) published in IEEE Transactions on Instrumentation and Measurement

Frequent co-authors in Kwoh's research collaborations include:

  • Min Wu
  • Xiaoli Li
  • Zhenghua Chen
  • Mohamed Ragab
  • Emadeldeen Eldele

Their research output is regularly published in venues such as:

  • arXiv (Cornell University)
  • Briefings in Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • IEEE Transactions on Instrumentation and Measurement

Best Publications

  • An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

    Emadeldeen Eldele;Zhenghua Chen;Chengyu Liu;Min Wu

  • Time-Series Representation Learning via Temporal and Contextual Contrasting

    Emadeldeen Eldele;Mohamed Ragab;Zhenghua Chen;Min Wu

  • A core-attachment based method to detect protein complexes in PPI networks

    Min Wu;Xiaoli Li;Chee Keong Kwoh;See-Kiong Ng

  • Drug–target interaction prediction by learning from local information and neighbors

    Jian-Ping Mei;Chee-Keong Kwoh;Peng Yang;Xiao-Li Li

  • Computational approaches for detecting protein complexes from protein interaction networks: a survey

    Xiaoli Li;Min Wu;Chee-Keong Kwoh;See-Kiong Ng

  • Ultra-Scalable Spectral Clustering and Ensemble Clustering

    Dong Huang;Chang-Dong Wang;Jian-Sheng Wu;Jian-Huang Lai

  • Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration.

    Nafisa Mohamed Hassan;Amr Ali Alhossary;Yuguang Mu;Chee-Keong Kwoh

  • Fast, accurate, and reliable molecular docking with QuickVina 2.

    Amr Alhossary;Stephanus Daniel Handoko;Yuguang Mu;Chee Keong Kwoh

  • Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

    Ali Ezzat;Peilin Zhao;Min Wu;Xiao-Li Li

  • Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.

    Ali Ezzat;Min Wu;Xiaoli Li;Chee Keong Kwoh

  • Positive-unlabeled learning for disease gene identification

    Peng Yang;Xiao-Li Li;Jian-Ping Mei;Chee-Keong Kwoh

  • Graph representation learning in bioinformatics: trends, methods and applications.

    Hai-Cheng Yi;Zhu-Hong You;De-Shuang Huang;Chee Keong Kwoh

  • Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities

    Dong Huang;Chang-Dong Wang;Hongxing Peng;Jianhuang Lai

  • Augmented reality systems for medical applications

    Son-Lik Tang;Chee-Keong Kwoh;Ming-Yeong Teo;Ng Wan Sing

  • Predicting human microbe-drug associations via graph convolutional network with conditional random field.

    Yahui Long;Yahui Long;Min Wu;Chee Keong Kwoh;Jiawei Luo

  • Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

    Mohamed Ragab;Zhenghua Chen;Min Wu;Chuan Sheng Foo

  • CovalentDock: Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints

    Xuchang Ouyang;Shuo Zhou;Chinh Tran To Su;Zemei Ge

  • Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

    Unknown

  • MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.

    Meng Zhang;Fuyi Li;Tatiana T Marquez-Lago;André Leier

  • Drug-target interaction prediction via class imbalance-aware ensemble learning

    Ali Ezzat;Min Wu;Xiaoli Li;Chee Keong Kwoh

  • The safety issues of medical robotics

    Baowei Fei;Wan Sing Ng;Sunita Chauhan;Chee Keong Kwoh

  • Ensemble Positive Unlabeled Learning for Disease Gene Identification

    Peng Yang;Xiaoli Li;Hon-Nian Chua;Chee-Keong Kwoh

  • Inferring gene-phenotype associations via global protein complex network propagation.

    Peng Yang;Xiaoli Li;Min Wu;Chee-Keong Kwoh

  • A survey on computer aided diagnosis for ocular diseases

    Zhuo Zhang;Zhuo Zhang;Ruchir Srivastava;Huiying Liu;Xiangyu Chen

  • Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance

    Kian Guan Lim;Chee Keong Kwoh;Li Yang Hsu;Adrianto Wirawan

  • Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms

    S D Handoko;Chee Keong Kwoh;Yew-Soon Ong

  • Ensembling graph attention networks for human microbe-drug association prediction.

    Yahui Long;Yahui Long;Min Wu;Yong Liu;Chee Keong Kwoh

  • Pre-training graph neural networks for link prediction in biomedical networks

    Unknown

  • A random forest based computational model for predicting novel lncRNA-disease associations.

    Dengju Yao;Xiaojuan Zhan;Xiaorong Zhan;Chee Keong Kwoh

Frequent Co-Authors

Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Yulan He
Yulan He King's College London
Chandra S. Verma
Chandra S. Verma Agency for Science, Technology and Research
See-Kiong Ng
See-Kiong Ng National University of Singapore
Limsoon Wong
Limsoon Wong National University of Singapore
Bertil Schmidt
Bertil Schmidt Johannes Gutenberg University of Mainz
Chang-Dong Wang
Chang-Dong Wang Sun Yat-sen University
Jiang Liu
Jiang Liu Southern University of Science and Technology
Teresa M. Przytycka
Teresa M. Przytycka National Institutes of Health
Tien Yin Wong
Tien Yin Wong Tsinghua University

External Links

Personal website of Chee Keong Kwoh

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Best Scientists Citing Chee Keong Kwoh

Fang-Xiang Wu

Fang-Xiang Wu

University of Saskatchewan

Publications: 43

Michael S. Kobor

Michael S. Kobor

University of British Columbia

Publications: 31

Jianxin Wang

Jianxin Wang

Central South University

Publications: 31

Michael J. Meaney

Michael J. Meaney

McGill University

Publications: 29

Jijun Tang

Jijun Tang

University of South Carolina

Publications: 27

Yi Pan

Yi Pan

Shenzhen Institutes of Advanced Technology

Publications: 26

Zhihao Yang

Zhihao Yang

Dalian University of Technology

Publications: 26

Keith M. Godfrey

Keith M. Godfrey

University of Southampton

Publications: 26

Min Li

Min Li

Central South University

Publications: 26

Elisabeth B. Binder

Elisabeth B. Binder

Max Planck Society

Publications: 19

Xiaoli Li

Xiaoli Li

Singapore University of Technology and Design

Publications: 17

Richard Saffery

Richard Saffery

University of Melbourne

Publications: 17

Vladimir Brusic

Vladimir Brusic

University of Nottingham Ningbo China

Publications: 17

Karen A. Lillycrop

Karen A. Lillycrop

University of Southampton

Publications: 16

Shoba Ranganathan

Shoba Ranganathan

Macquarie University

Publications: 16

U. Rajendra Acharya

U. Rajendra Acharya

University of Southern Queensland

Publications: 16

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