World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7843
World Ranking
6561
National Ranking
878

Overview

Keith C. C. Chan is affiliated with the Hong Kong Polytechnic University in China. Their research spans the intersection of computer science and biochemistry, genetics, and molecular biology, with a total of 16 publications in computer science and 12 in biochemistry and related fields.

The main subfields of Keith C. C. Chan's work include:

  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Cancer Research
  • Biomedical Engineering
  • Artificial Intelligence

Their research topics cover areas such as:

  • Human Pose and Action Recognition
  • Gait Recognition and Analysis
  • Context-Aware Activity Recognition Systems
  • Anomaly Detection Techniques and Applications
  • Cancer-related Molecular Mechanisms Research
  • Video Surveillance and Tracking Methods
  • MicroRNA in Disease Regulation

Keith C. C. Chan has coauthored multiple academic papers with frequent collaborators including Bruce X. B. Yu, Yan Liu, Zhu-Hong You, Hai-Cheng Yi, and Zhen-Hao Guo.

They have been published in various venues, with notable frequent publications including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition
  • Briefings in Bioinformatics

Recent papers from Keith C. C. Chan include:

  • MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer's progression, 2021, Pattern Recognition
  • Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning, 2020, Briefings in Bioinformatics
  • Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics

Best Publications

  • A novel evolutionary data mining algorithm with applications to churn prediction

    Wai-Ho Au;K.C.C. Chan;Xin Yao

  • 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

  • Mining fuzzy association rules

    Keith C. C. Chan;Wai-Ho Au

  • Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.

    Zhu-Hong You;Keith C. C. Chan;Pengwei Hu

  • Pair programming productivity: Novice-novice vs. expert-expert

    Kim Man Lui;Keith C. C. Chan

  • Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding

    Yu-An Huang;Zhu-Hong You;Xing Chen;Keith C. C. Chan

  • An effective algorithm for discovering fuzzy rules in relational databases

    Wai-Ho Au;K.C.C. Chan

  • Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements

    Li Bing;Keith C.C. Chan;Carol Ou

  • An evolutionary clustering algorithm for gene expression microarray data analysis

    P.C.H. Ma;K.C.C. Chan;Xin Yao;D.K.Y. Chiu

  • MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos

    Unknown

  • Mining fuzzy association rules in a bank-account database

    Wai-Ho Au;K.C.C. Chan

  • FARM: a data mining system for discovering fuzzy association rules

    Wai-Ho Au;K.C.C. Chan

  • ILNCSIM: improved lncRNA functional similarity calculation model

    Yu-An Huang;Xing Chen;Zhu-Hong You;De-Shuang Huang

  • An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network

    Lei Wang;Zhu-Hong You;Yu-An Huang;De-Shuang Huang

  • Discovering public sentiment in social media for predicting stock movement of publicly listed companies

    Bing Li;Keith C.C. Chan;Carol Ou;Sun Ruifeng

  • Statistical Technique for Extracting Classificatory Knowledge from Databases.

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

  • Neural Network Prediction of Human Psychological Perceptions of Fabric Hand

    C.L. Hui;T.W. Lau;S.F. Ng;K.C.C. Chan

  • Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling.

    Yu-An Huang;Keith C C Chan;Zhu-Hong You;Zhu-Hong You

  • Graph convolution for predicting associations between miRNA and drug resistance.

    Yu-An Huang;Pengwei Hu;Keith C C Chan;Zhu-Hong You;Zhu-Hong You

  • When does a pair outperform two individuals

    Kim Man Lui;Keith C. C. Chan

  • FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model

    Xing Chen;Yu-An Huang;Xue-Song Wang;Zhu-Hong You

  • Mining changes in association rules: a fuzzy approach

    Wai-Ho Au;Keith C. C. Chan

Frequent Co-Authors

Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Andrew K. C. Wong
Andrew K. C. Wong University of Waterloo
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Guojun Wang
Guojun Wang Guangzhou University
Zili Shao
Zili Shao Chinese University of Hong Kong
Yingxu Wang
Yingxu Wang University of Calgary
De-Shuang Huang
De-Shuang Huang Tongji University
Xin Yao
Xin Yao Lingnan University
Yiyu Yao
Yiyu Yao University of Regina
Xing Chen
Xing Chen Jiangnan University

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