World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9321
World Ranking
5141
National Ranking
698

Yiu-ming Cheung 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 Yiu-ming Cheung 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: 339 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Yiu-ming Cheung 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 Yiu-ming Cheung 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: 52 D-Index — 65th percentile

65% 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

  • 2018 - IEEE Fellow For contributions to cluster analysis and visual computing
  • 2006 - ACM Senior Member

Overview

Yiu-ming Cheung is affiliated with Hong Kong Baptist University in China and has a research portfolio primarily within the field of Computer Science. Their work emphasizes subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Media Technology, and Electrical and Electronic Engineering.

Their research topics cover a range of specific areas including Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Face and Expression Recognition, Advanced Clustering Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Video Surveillance and Tracking Methods, and Imbalanced Data Classification Techniques.

Yiu-ming Cheung has published extensively in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or coauthored include:

  • "Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification" (2023), published in IEEE Transactions on Image Processing
  • "A Survey of Human Action Recognition and Posture Prediction" (2022), published in Tsinghua Science & Technology

Frequent co-authors with whom Yiu-ming Cheung has collaborated on multiple occasions are:

  • Mengke Li
  • Yiqun Zhang
  • Zhikai Hu
  • Weichao Lan
  • Dongrui Wu

Throughout their career, Yiu-ming Cheung has received recognition including being named an IEEE Fellow in 2018 for contributions to cluster analysis and visual computing, as well as becoming an ACM Senior Member in 2006.

Best Publications

  • Segmentation of retinal blood vessels using the radial projection and semi-supervised approach

    Xinge You;Qinmu Peng;Yuan Yuan;Yiu-ming Cheung

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

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

  • k -means: a new generalized k -means clustering algorithm

    Yiu-Ming Cheung

  • Feature Selection and Kernel Learning for Local Learning-Based Clustering

    Hong Zeng;Yiu-ming Cheung

  • Robust Object Tracking via Key Patch Sparse Representation

    Zhenyu He;Shuangyan Yi;Yiu-Ming Cheung;Xinge You

  • Joint sparse principal component analysis

    Shuangyan Yi;Zhihui Lai;Zhenyu He;Yiu Ming Cheung

  • MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

    Xin Liu;Zhikai Hu;Haibin Ling;Yiu-Ming Cheung

  • A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks

    Xinge You;Liang Du;Yiu-ming Cheung;Qiuhui Chen

  • Independent component ordering in ICA time series analysis

    Yiu-ming Cheung;Lei Xu

  • Eye Gaze Tracking With a Web Camera in a Desktop Environment

    Yiu-ming Cheung;Qinmu Peng

  • Efficient single image dehazing and denoising

    Xin Liu;He Zhang;Yiu-ming Cheung;Xinge You

  • Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm

    Fangqing Gu;Yiu-Ming Cheung

  • Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number

    Yiu-Ming Cheung;Hong Jia

  • Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

    Xu Tang;Fanbo Meng;Xiangrong Zhang;Yiu-Ming Cheung

  • A New Distance Metric for Unsupervised Learning of Categorical Data

    Hong Jia;Yiu-ming Cheung;Jiming Liu

  • Semi-Supervised Maximum Margin Clustering with Pairwise Constraints

    Hong Zeng;Yiu-Ming Cheung

  • Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

    Yiu-ming Cheung

  • Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

    Unknown

  • Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters

    Hong Jia;Yiu-Ming Cheung

  • A new feature selection method for Gaussian mixture clustering

    Hong Zeng;Yiu-Ming Cheung

  • ApLeaf: An efficient android-based plant leaf identification system

    Zhong Qiu Zhao;Zhong Qiu Zhao;Lin Hai Ma;Yiu Ming Cheung;Xindong Wu;Xindong Wu

Frequent Co-Authors

Xinge You
Xinge You Huazhong University of Science and Technology
Yuan Yan Tang
Yuan Yan Tang University of Macau
De-Shuang Huang
De-Shuang Huang Tongji University
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Xindong Wu
Xindong Wu Hefei University of Technology
Xing-Ming Zhao
Xing-Ming Zhao Fudan University
Jiming Liu
Jiming Liu Hong Kong Baptist University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology

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