World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8117
World Ranking
7575
National Ranking
995

Chi-Man Pun 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 Chi-Man Pun 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: 307 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Chi-Man Pun 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 Chi-Man Pun 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Chi-Man Pun is affiliated with the University of Macau in China and has contributed extensively to the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields.

The scientist's research addresses several main topics, including:

  • Advanced Neural Network Applications
  • Digital Media Forensic Detection
  • Human Pose and Action Recognition
  • Adversarial Robustness in Machine Learning
  • Generative Adversarial Networks and Image Synthesis
  • Image Enhancement Techniques
  • Video Surveillance and Tracking Methods

Chi-Man Pun has coauthored work frequently with several researchers, notably:

  • Guoheng Huang (59 publications)
  • Guo Zhong (42 publications)
  • Xiaochen Yuan (39 publications)
  • Xuhang Chen (34 publications)
  • Shuqiang Wang (20 publications)

The scientist has contributed to numerous publication venues, with the most frequent including:

  • arXiv (Cornell University) - 61 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence - 8 publications
  • Information Sciences - 7 publications
  • The Visual Computer - 7 publications
  • Pattern Recognition - 6 publications

Selected recent papers exemplify Chi-Man Pun's research scope and publication activity:

  • "Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Improving the Harmony of the Composite Image by Spatial-Separated Attention Module," 2020, IEEE Transactions on Image Processing
  • "A new global best guided artificial bee colony algorithm with application in robot path planning," 2020, Applied Soft Computing
  • "Generative AI for brain image computing and brain network computing: a review," 2023, Frontiers in Neuroscience
  • "CTNet: Contrastive Transformer Network for Polyp Segmentation," 2024, IEEE Transactions on Cybernetics

The scientist's work spans multiple aspects of image processing, artificial intelligence models, and applications in biomedical imaging and robotics.

Best Publications

  • 2D Sine Logistic modulation map for image encryption

    Zhongyun Hua;Yicong Zhou;Chi-Man Pun;C.L. Philip Chen

  • Log-polar wavelet energy signatures for rotation and scale invariant texture classification

    Chi-Man Pun;Moon-Chuen Lee

  • Image Forgery Detection Using Adaptive Oversegmentation and Feature Point Matching

    Chi-Man Pun;Xiao-Chen Yuan;Xiu-Li Bi

  • Cascade Chaotic System With Applications

    Yicong Zhou;Zhongyun Hua;Chi-Man Pun;C. L. Philip Chen

  • Complex Zernike Moments Features for Shape-Based Image Retrieval

    S. Li;M.-C. Lee;C.-M. Pun

  • Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

    Xiaodong Cun;Chi-Man Pun;Cheng Shi

  • An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection

    Jun-Liu Zhong;Chi-Man Pun

  • Weighted Joint Sparse Representation for Removing Mixed Noise in Image

    Licheng Liu;Long Chen;C. L. Philip Chen;Yuan Yan Tang

  • Improving the Harmony of the Composite Image by Spatial-Separated Attention Module

    Xiaodong Cun;Chi-Man Pun

  • Reversible data-hiding in encrypted images by redundant space transfer

    Zi-Long Liu;Chi-Man Pun

  • Generative AI for brain image computing and brain network computing: a review

    Unknown

  • Multi-Level Dense Descriptor and Hierarchical Feature Matching for Copy-Move Forgery Detection

    Xiuli Bi;Chi-Man Pun;Xiao-Chen Yuan

  • Multiscale Superpixel-Based Hyperspectral Image Classification Using Recurrent Neural Networks With Stacked Autoencoders

    Cheng Shi;Chi-Man Pun

  • Quaternion-Based Image Hashing for Adaptive Tampering Localization

    Cai-Ping Yan;Chi-Man Pun;Xiao-Chen Yuan

  • Superpixel-based 3D deep neural networks for hyperspectral image classification

    Cheng Shi;Chi-Man Pun

  • An improved artificial bee colony and its application

    Yujiao Shi;Chi-Man Pun;Haidong Hu;Haidong Hu;Hao Gao;Hao Gao

  • A new global best guided artificial bee colony algorithm with application in robot path planning

    Feiyi Xu;Haolun Li;Chi-Man Pun;Haidong Hu

  • Multi-scale image hashing using adaptive local feature extraction for robust tampering detection

    Cai-Ping Yan;Chi-Man Pun;Xiao-Chen Yuan

  • Multi-scale noise estimation for image splicing forgery detection

    Chi-Man Pun;Bo Liu;Xiao-Chen Yuan

  • Extraction of shift invariant wavelet features for classification of images with different sizes

    Chi-Man Pun;Moon-Chuen Lee

  • An Improved Artificial Bee Colony Algorithm With its Application

    Hao Gao;Yujiao Shi;Chi-Man Pun;Sam Kwong

  • Multi-scale hierarchical recurrent neural networks for hyperspectral image classification

    Cheng Shi;Chi-Man Pun

Frequent Co-Authors

C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Wei Feng
Wei Feng Tianjin University
Yicong Zhou
Yicong Zhou University of Macau
Zhongyun Hua
Zhongyun Hua Harbin Institute of Technology
Yuan Yan Tang
Yuan Yan Tang University of Macau
Chi-Man Vong
Chi-Man Vong University of Macau
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Sam Kwong
Sam Kwong Lingnan University
Pak Kin Wong
Pak Kin Wong University of Macau
Zhenjun Tang
Zhenjun Tang Guangxi Normal University

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