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
6294
National Ranking
253

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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