World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4437
World Ranking
14016
National Ranking
1694

S.-H. Gary 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 S.-H. Gary 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

S.-H. Gary 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 S.-H. Gary 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

S.-H. Gary Chan is affiliated with the Hong Kong University of Science and Technology in China. The scientist's research spans multiple fields primarily within Computer Science and Engineering, demonstrating a focus on artificial intelligence and electrical engineering domains.

The scientist has contributed extensively to several subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Signal Processing
  • Computer Networks and Communications

The research topics covered also highlight practical applications and techniques in the areas of:

  • Indoor and Outdoor Localization Technologies
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods
  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Domain Adaptation and Few-Shot Learning
  • Speech and Audio Processing

Among the scientist's recent publications are:

  • "Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks", 2023, arXiv (Cornell University)
  • "DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting", 2022, IEEE Transactions on Knowledge and Data Engineering
  • "TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis", 2024, Proceedings of the VLDB Endowment

Frequent coauthors collaborating with S.-H. Gary Chan include:

  • Weipeng Zhuo
  • Tianlang He
  • Haoyue Bai
  • Shuhan Zhong
  • Guanyao Li

The researcher regularly publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Best Publications

  • Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons

    Suining He;S.-H. Gary Chan

  • VMesh: Distributed Segment Storage for Peer-to-Peer Interactive Video Streaming

    Unknown

  • MADF: a novel approach to add an ad-hoc overlay on a fixed cellular infrastructure

    X. Wu;S.-H.G. Chan;B. Mukherjee

  • Indoor Localization and Automatic Fingerprint Update with Altered AP Signals

    Suining He;Wenbin Lin;S.-H. Gary Chan

  • On Reducing Mesh Delay for Peer-to-Peer Live Streaming

    Unknown

  • Broadcast-Based Peer-to-Peer Collaborative Video Streaming Among Mobiles

    Unknown

  • Edge-Directed Error Concealment

    Mengyao Ma;O.C. Au;S.-H.G. Chan;Ming-Ting Sun

  • Challenges and Approaches in Large-Scale P2P Media Streaming

    Unknown

  • Fusing noisy fingerprints with distance bounds for indoor localization

    Suining He;S.-H. Gary Chan;Lei Yu;Ning Liu

  • Contour-based Trilateration for Indoor Fingerprinting Localization

    Suining He;Tianyang Hu;S.-H. Gary Chan

  • Network Topology Inference Based on End-to-End Measurements

    Unknown

  • MACA-an efficient channel allocation scheme in cellular networks

    Unknown

  • Fast-Mesh: A Low-Delay High-Bandwidth Mesh for Peer-to-Peer Live Streaming

    Unknown

  • Chameleon: Survey-Free Updating of a Fingerprint Database for Indoor Localization

    Suining He;Bo Ji;S.-H. Gary Chan

  • Tilejunction: Mitigating Signal Noise for Fingerprint-Based Indoor Localization

    Suining He;S.-H. Gary Chan

  • Sectjunction: Wi-Fi indoor localization based on junction of signal sectors

    Unknown

  • CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs

    Unknown

  • On Maximizing Tree Bandwidth for Topology-Aware Peer-to-Peer Streaming

    Unknown

  • Distributed Storage to Support User Interactivity in Peer-to-Peer Video Streaming

    W.-P. Ken Yiu;Xing Jin;S.-H. Gary Chan

  • INTRI: Contour-Based Trilateration for Indoor Fingerprint-Based Localization

    Suining He;S.-H. Gary Chan

  • SPANC: Optimizing Scheduling Delay for Peer-to-Peer Live Streaming

    K.-H Kelvin Chan;S.-H Gary Chan;A C Begen

  • Resource-efficient and Automated Image-based Indoor Localization

    Qun Niu;Mingkuan Li;Suining He;Chengying Gao

  • Calibration-free fusion of step counter and wireless fingerprints for indoor localization

    Suining He;S.-H. Gary Chan;Lei Yu;Ning Liu

  • SLAC: Calibration-Free Pedometer-Fingerprint Fusion for Indoor Localization

    Suining He;S.-H. Gary Chan;Lei Yu;Ning Liu

  • Crowd Counting on Images with Scale Variation and Isolated Clusters

    Haoyue Bai;Song Wen;S.-H. Gary Chan

  • Motion Estimation for H.264/AVC using Programmable Graphics Hardware

    Chi-Wang Ho;O.C. Au;S.-H. Gary Chan;Shu-Kei Yip

  • Position estimation for wireless sensor networks

    K.-F.S. Wong;I.W. Tsang;V. Cheung;S.-H.G. Chan

  • Detecting malicious nodes in peer-to-peer streaming by peer-based monitoring

    Xing Jin;S.-H. Gary Chan

  • Collaborative Wireless Freeview Video Streaming With Network Coding

    Bo Zhang;Zhi Liu;S.-H. Gary Chan;Gene Cheung

  • Key Management Approaches to Offer Data Confidentiality for

    Kin-Ching Chan;S. H. Gary Chan

Frequent Co-Authors

Gene Cheung
Gene Cheung York University
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Ali C. Begen
Ali C. Begen Özyeğin University
Biswanath Mukherjee
Biswanath Mukherjee University of California, Davis
Dipak Ghosal
Dipak Ghosal University of California, Davis
Oscar C. Au
Oscar C. Au Hong Kong University of Science and Technology
Gerasimos Potamianos
Gerasimos Potamianos University Of Thessaly
Mung Chiang
Mung Chiang Purdue University West Lafayette
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette

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