World's Best Scientists 2026 revealed!
Andrew K. C. Wong

Andrew K. C. Wong

D-Index & Metrics

Computer Science

D-Index
47
Citations
19806
World Ranking
6295
National Ranking
252

Andrew K. C. Wong 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 Andrew K. C. Wong 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Andrew K. C. Wong 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 Andrew K. C. Wong 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2004 - IEEE Fellow For contributions to machine intelligence, computer vision, and intelligent robotics.

Overview

Andrew K. C. Wong is affiliated with the University of Waterloo in Canada. Their research spans multiple interdisciplinary fields, including Computer Science, Biochemistry, Genetics and Molecular Biology, and Medicine. Within these broader categories, their scholarly work focuses particularly on subfields such as Artificial Intelligence, Molecular Biology, Health Information Management, Plant Science, and Pathology and Forensic Medicine.

The main research topics covered by Andrew K. C. Wong include Imbalanced Data Classification Techniques, Artificial Intelligence in Healthcare, Machine Learning in Healthcare, Bioinformatics and Genomic Networks, Machine Learning in Bioinformatics, Alcohol Consumption and Health Effects, and Ginseng Biological Effects and Applications.

Andrew K. C. Wong's recent publications include:

  • The Chromosome Level Genome and Genome-wide Association Study for the Agronomic Traits of Panax Notoginseng, 2020, iScience
  • Explanation and prediction of clinical data with imbalanced class distribution based on pattern discovery and disentanglement, 2021, BMC Medical Informatics and Decision Making
  • Pattern discovery and disentanglement on relational datasets, 2021, Scientific Reports
  • Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system, 2023, npj Digital Medicine
  • Cohort Characteristics and Factors Associated With Cannabis Use Among Adolescents in Canada Using Pattern Discovery and Disentanglement Method, 2021, Research Square (Research Square)

Frequent co-authors collaborating with Andrew K. C. Wong include:

  • Pei-Yuan Zhou
  • Zahid A Butt
  • Scott T. Leatherdale
  • Kate Battista
  • Helen Chen

The primary venues where Andrew K. C. Wong has published their work are:

  • Research Square (Research Square)
  • iScience
  • BMC Medical Informatics and Decision Making
  • Scientific Reports
  • npj Digital Medicine

In recognition of contributions to the broader fields of machine intelligence, computer vision, and intelligent robotics, Andrew K. C. Wong was awarded the title of IEEE Fellow in 2004.

Best Publications

  • A new method for gray-level picture thresholding using the entropy of the histogram

    J. N. Kapur;Prasanna K. Sahoo;Andrew K. C. Wong

  • A survey of thresholding techniques

    P. K. Sahoo;S. Soltani;A. K.C. Wong;Y. C. Chen

  • CLASSIFICATION OF IMBALANCED DATA: A REVIEW

    Yanmin Sun;Andrew K. C. Wong;Mohamed S. Kamel

  • Cost-sensitive boosting for classification of imbalanced data

    Yanmin Sun;Mohamed S. Kamel;Andrew K. C. Wong;Yang Wang

  • Entropy and Distance of Random Graphs with Application to Structural Pattern Recognition

    Andrew K. C. Wong;Manlai You

  • A gray-level threshold selection method based on maximum entropy principle

    A.K.C. Wong;P.K. Sahoo

  • Class-dependent discretization for inductive learning from continuous and mixed-mode data

    J.Y. Ching;A.K.C. Wong;K.C.C. Chan

  • Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data

    Wai-Ho Au;Keith C. C. Chan;Andrew K. C. Wong;Yang Wang

  • Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data

    Andrew K. C. Wong;David K. Y. Chiu

  • A survey of multiple sequence comparison methods.

    S. C. Chan;A. K. C. Wong;D. K. Y. Chiu

  • Recognition and shape synthesis of 3-D objects based on attributed hypergraphs

    A.K.C. Wong;S.W. Lu;M. Rioux

  • Intelligent modeling, transformation and manipulation system

    Li Rong;Andrew K. C. Wong

  • A genetic algorithm for multiple molecular sequence alignment

    Ching Zhang;Andrew K.C. Wong

  • Computational method for discovering patterns in data sets

    Andrew K. C. Wong;Tom Tak Kin Chau;Yang Wang

  • Information Discovery through Hierarchical Maximum Entropy Discretization and Synthesis.

    David K. Y. Chiu;Andrew K. C. Wong;Benny Cheung

  • Pattern discovery: a data driven approach to decision support

    A.K.C. Wong;Yang Wang

  • High-order pattern discovery from discrete-valued data

    A.K.C. Wong;Yang Wang

  • From association to classification: inference using weight of evidence

    Y. Wang;A.K.C. Wong

  • Statistical Technique for Extracting Classificatory Knowledge from Databases.

    Keith C. C. Chan;Andrew K. C. Wong

  • Typicality, Diversity, and Feature Pattern of an Ensemble

    A.K.C. Wong;T.S. Liu

Frequent Co-Authors

Keith C. C. Chan
Keith C. C. Chan Hong Kong Polytechnic University
Mohamed S. Kamel
Mohamed S. Kamel University of Waterloo
Dawn M. E. Bowdish
Dawn M. E. Bowdish McMaster University
Daniel M. Davis
Daniel M. Davis University of Manchester
Stephen Kwok-Wing Tsui
Stephen Kwok-Wing Tsui Chinese University of Hong Kong
Marcus Richards
Marcus Richards University College London
Diana Kuh
Diana Kuh University College London
Guangyi Fan
Guangyi Fan Beijing Genomics Institute
Xin Liu
Xin Liu Chinese Academy of Sciences
Xun Xu
Xun Xu Beijing Genomics Institute

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Related Online Degrees & Career Pathways

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