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Computer Science
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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

Michael K. Ng publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Michael K. Ng sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 536 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Michael K. Ng D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Michael K. Ng sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 87 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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