World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13842
World Ranking
3814
National Ranking
509

Antoni B. Chan 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 Antoni B. Chan 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Antoni B. Chan 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 Antoni B. Chan 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Antoni B. Chan is affiliated with the City University of Hong Kong in China. Their research primarily spans the field of Computer Science, with a notable focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, and Signal Processing. The concentration of their publications in these subfields reflects a consistent engagement with visual and cognitive computational methods.

The scientist's work covers several specific research topics including Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, Advanced Neural Network Applications, Visual Attention and Saliency Detection, Advanced Vision and Imaging, and Domain Adaptation and Few-Shot Learning.

Antoni B. Chan has authored numerous papers, with recent publications including:

  • Kernel-Based Density Map Generation for Dense Object Counting, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Crowd Counting in the Frequency Domain, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Incorporating Side Information by Adaptive Convolution, 2020, International Journal of Computer Vision
  • A Comparative Survey of Deep Active Learning, 2022, arXiv (Cornell University)
  • Eye movement analysis with hidden Markov models (EMHMM) with co-clustering, 2021, Behavior Research Methods

The venues where Antoni B. Chan frequently publishes include:

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

Collaboration has been a significant component of their research activities. Frequent coauthors include Janet H. Hsiao, Jia Wan, Qiangqiang Wu, Qingzhong Wang, and Qi Zhang, each contributing to numerous joint publications.

Best Publications

  • Privacy preserving crowd monitoring: Counting people without people models or tracking

    A.B. Chan;Z.-S.J. Liang;N. Vasconcelos

  • Supervised Learning of Semantic Classes for Image Annotation and Retrieval

    G. Carneiro;A.B. Chan;P.J. Moreno;N. Vasconcelos

  • Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures

    A.B. Chan;N. Vasconcelos

  • 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network

    Sijin Li;Antoni B. Chan

  • Bayesian Poisson regression for crowd counting

    Antoni B. Chan;Nuno Vasconcelos

  • Counting People With Low-Level Features and Bayesian Regression

    A. B. Chan;N. Vasconcelos

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Learning Dynamic Memory Networks for Object Tracking

    Tianyu Yang;Antoni B. Chan

  • On measuring the change in size of pulmonary nodules

    A.P. Reeves;A.B. Chan;D.F. Yankelevitz;C.I. Henschke

  • Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation

    Sijin Li;Weichen Zhang;Antoni B. Chan

  • Probabilistic kernels for the classification of auto-regressive visual processes

    A.B. Chan;N. Vasconcelos

  • Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

    Sijin Li;Zhi-Qiang Liu;Antoni B. Chan

  • Classifying Video with Kernel Dynamic Textures

    A.B. Chan;N. Vasconcelos

  • Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Counting, Detection, and Tracking

    Di Kang;Zheng Ma;Antoni B. Chan

  • Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

    Sijin Li;Zhi-Qiang Liu;Antoni B. Chan

  • A Generalized Loss Function for Crowd Counting and Localization

    Jia Wan;Ziquan Liu;Antoni B. Chan

  • Video Desnowing and Deraining Based on Matrix Decomposition

    Weihong Ren;Jiandong Tian;Zhi Han;Antoni Chan

  • Understanding eye movements in face recognition using hidden Markov models

    Tim Chuk;Antoni B. Chan;Janet H. Hsiao

  • Adaptive Density Map Generation for Crowd Counting

    Jia Wan;Antoni Chan

  • Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

    Weihong Ren;Xinchao Wang;Jiandong Tian;Yandong Tang

  • Analysis of Crowded Scenes using Holistic Properties

    Antoni Bert Chan;Mulloy Morrow;Nuno Vasconcelos

Frequent Co-Authors

Nuno Vasconcelos
Nuno Vasconcelos University of California, San Diego
Gert R. G. Lanckriet
Gert R. G. Lanckriet University of California, San Diego
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Tatia M.C. Lee
Tatia M.C. Lee University of Hong Kong
Hongbo Fu
Hongbo Fu City University of Hong Kong
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Tei-Wei Kuo
Tei-Wei Kuo National Taiwan University
Shinsuke Shimojo
Shinsuke Shimojo California Institute of Technology
Todd Jackson
Todd Jackson University of Macau

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