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Computer Science
China
2026
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Mathematics
China
2026

D-Index & Metrics

Computer Science

D-Index
95
Citations
31616
World Ranking
470
National Ranking
61

Mathematics

D-Index
87
Citations
27656
World Ranking
94
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2026 - Research.com Mathematics in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Mathematics in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Mathematics in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2017 - SIAM Fellow For fundamental contributions to algorithms for structured linear systems and image processing.

Overview

Michael K. Ng is affiliated with Hong Kong Baptist University in China and has contributed extensively to research in computer science and engineering, with a focus on a variety of computational and imaging techniques. Their work spans multiple subfields and specialized topics in these areas.

The main fields of study for Michael K. Ng include:

  • Computer Science
  • Engineering

Within these fields, key subfields of research include:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Artificial Intelligence
  • Computational Mathematics
  • Media Technology

The principal topics addressed in their work cover:

  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Tensor decomposition and applications
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Matrix Theory and Algorithms
  • Remote-Sensing Image Classification

Michael K. Ng's recent papers include:

  • Robust tensor completion using transformed tensor singular value decomposition (2020), Numerical Linear Algebra with Applications
  • Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment (2021), IEEE Transactions on Neural Networks and Learning Systems
  • Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN (2022), IEEE Transactions on Neural Networks and Learning Systems
  • FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal (2021), IEEE Transactions on Neural Networks and Learning Systems
  • Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations (2021), IEEE Transactions on Geoscience and Remote Sensing

The venues where Michael K. Ng has frequently published include:

  • arXiv (Cornell University)
  • SIAM Journal on Imaging Sciences
  • IEEE Transactions on Geoscience and Remote Sensing
  • Journal of Scientific Computing
  • IEEE Transactions on Antennas and Propagation

Michael K. Ng has collaborated extensively with several researchers, with frequent coauthors such as:

  • Xi-Le Zhao
  • Junren Chen
  • Hanrui Wu
  • Tai-Xiang Jiang
  • Guang-Jing Song

In addition to journal articles, Michael K. Ng has authored books published by Cambridge University Press. One notable title is Political Censorship in British Hong Kong (2022).

An award received by Michael K. Ng is the SIAM Fellow designation in 2017 for fundamental contributions to algorithms for structured linear systems and image processing.

Best Publications

  • Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems

    Zhong-Zhi Bai;Gene H. Golub;Michael K. Ng

  • Automated variable weighting in k-means type clustering

    J.Z. Huang;M.K. Ng;Hongqiang Rong;Zichen Li

  • Conjugate Gradient Methods for Toeplitz Systems

    Raymond H. Chan;Michael K. Ng

  • An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data

    Liping Jing;M.K. Ng;J.Z. Huang

  • A fuzzy k-modes algorithm for clustering categorical data

    Zhexue Huang;M.K. Ng

  • A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions

    Michael K. Ng;Raymond H. Chan;Wun-Cheung Tang

  • Control of Boolean networks: hardness results and algorithms for tree structured networks.

    Tatsuya Akutsu;Morihiro Hayashida;Wai-Ki Ching;Michael K. Ng

  • Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery

    Mila Nikolova;Michael K. Ng

  • Iterative Methods for Toeplitz Systems

    Michael K Ng

  • Markov Chains: Models, Algorithms and Applications

    Wai-Ki Ching;Ximin Huang;Michael K. Ng;Tak Kuen Siu

  • A New Total Variation Method for Multiplicative Noise Removal

    Yu-Mei Huang;Michael K. Ng;You-Wei Wen

  • Finding the Largest Eigenvalue of a Nonnegative Tensor

    Michael Ng;Liqun Qi;Guanglu Zhou

  • Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters

    M.J. Li;M.K. Ng;Y.-m. Cheung;J.Z. Huang

  • Wavelet based methods on patterned fabric defect detection

    Henry Y. T. Ngan;Grantham K. H. Pang;S. P. Yung;Michael K. Ng

  • An optimization algorithm for clustering using weighted dissimilarity measures

    Elaine Y. Chan;Wai-Ki Ching;Michael K. Ng;Joshua Zhexue Huang

  • Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods

    Michael K. Ng;Pierre Weiss;Xiaoming Yuan

  • Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction

    Mila Nikolova;Michael K Ng;Chi-Pan Tam

  • A Total Variation Model for Retinex

    Michael K. Ng;Wei Wang

  • A FAST TOTAL VARIATION MINIMIZATION METHOD FOR IMAGE RESTORATION

    Yumei Huang;Yumei Huang;Michael K. Ng;You-Wei Wen;You-Wei Wen

  • Mathematical analysis of super-resolution methodology

    M.K. Ng;N.K. Bose

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

Frequent Co-Authors

Wai-Ki Ching
Wai-Ki Ching University of Hong Kong
Yunming Ye
Yunming Ye Harbin Institute of Technology
Wei Wang
Wei Wang Harbin Institute of Technology
Raymond H. Chan
Raymond H. Chan Lingnan University
Xi-Le Zhao
Xi-Le Zhao University of Electronic Science and Technology of China
Tak Kuen Siu
Tak Kuen Siu Macquarie University
David W. Cheung
David W. Cheung University of Hong Kong
Tieyong Zeng
Tieyong Zeng Chinese University of Hong Kong
Zhong-Zhi Bai
Zhong-Zhi Bai Chinese Academy of Sciences
Tony F. Chan
Tony F. Chan University of California, Los Angeles

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