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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
57754
World Ranking
167
National Ranking
98

Heung-Yeung Shum 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 Heung-Yeung Shum 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: 456 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Heung-Yeung Shum 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 Heung-Yeung Shum 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: 117 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2018 - Fellow of the Royal Academy of Engineering (UK)
  • 2017 - Member of the National Academy of Engineering For contributions to computer vision and computer graphics, and for leadership in industrial research and product development.
  • 2006 - ACM Fellow For contributions to computer vision and computer graphics.
  • 2006 - IEEE Fellow For contributions to image-based modeling and rendering.

Overview

Heung-Yeung Shum is affiliated with Microsoft in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The scientist has contributed to a range of topics within their research, such as:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Topic Modeling
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Domain Adaptation and Few-Shot Learning

Recent publications associated with Heung-Yeung Shum include:

  • "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection" (2022, arXiv (Cornell University))
  • "The Design and Implementation of XiaoIce, an Empathetic Social Chatbot" (2020, Computational Linguistics)
  • "Locally Attentional SDF Diffusion for Controllable 3D Shape Generation" (2023, ACM Transactions on Graphics)
  • "Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph" (2023, arXiv (Cornell University))
  • "On the principles of Parsimony and Self-consistency for the emergence of intelligence" (2022, Frontiers of Information Technology & Electronic Engineering)

Heung-Yeung Shum frequently collaborates with several researchers, including:

  • Lionel M. Ni
  • Hongfa Wang
  • Chengfei Cai
  • Qifeng Chen
  • Peng-Shuai Wang

The primary venues for Shum's research dissemination are:

  • arXiv (Cornell University)
  • Frontiers of Information Technology & Electronic Engineering
  • Computational Linguistics
  • ACM Transactions on Graphics
  • Computational Visual Media

Awards recognizing contributions include:

  • Fellow of the Royal Academy of Engineering (UK), 2018
  • Member of the National Academy of Engineering, 2017, for contributions to computer vision and computer graphics, and for leadership in industrial research and product development
  • IEEE Fellow, 2006, for contributions to image-based modeling and rendering
  • ACM Fellow, 2006, for contributions to computer vision and computer graphics

Best Publications

  • Learning to Detect a Salient Object

    Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang

  • Learning to Detect A Salient Object

    Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang

  • Stereo matching using belief propagation

    Jian Sun;Nan-Ning Zheng;Heung-Yeung Shum

  • Lazy snapping

    Yin Li;Jian Sun;Chi-Keung Tang;Heung-Yeung Shum

  • Creating full view panoramic image mosaics and environment maps

    Richard Szeliski;Heung-Yeung Shum

  • Image super-resolution using gradient profile prior

    Jian Sun;Zongben Xu;Heung-Yeung Shum

  • DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

    Unknown

  • Real-time texture synthesis by patch-based sampling

    Lin Liang;Ce Liu;Ying-Qing Xu;Baining Guo

  • Plenoptic sampling

    Jin-Xiang Chai;Xin Tong;Shing-Chow Chan;Heung-Yeung Shum

  • Image deblurring with blurred/noisy image pairs

    Lu Yuan;Jian Sun;Long Quan;Heung-Yeung Shum

  • Poisson matting

    Jian Sun;Jiaya Jia;Chi-Keung Tang;Heung-Yeung Shum

  • Image completion with structure propagation

    Jian Sun;Lu Yuan;Jiaya Jia;Heung-Yeung Shum

  • Mesh editing with poisson-based gradient field manipulation

    Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

  • Rendering with concentric mosaics

    Heung-Yeung Shum;Li-Wei He

  • Systems and Experiment Paper: Construction of Panoramic Image Mosaics with Global and Local Alignment

    Heung-Yeung Shum;Richard Szeliski

  • Full-frame video stabilization with motion inpainting

    Y. Matsushita;E. Ofek;Weina Ge;Xiaoou Tang

  • From Eliza to XiaoIce: challenges and opportunities with social chatbots

    Heung-yeung Shum;Xiao-dong He;Di Li

  • The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

    Li Zhou;Jianfeng Gao;Di Li;Heung-Yeung Shum

  • Statistical Learning of Multi-view Face Detection

    Stan Z. Li;Long Zhu;ZhenQiu Zhang;Andrew Blake

  • Review of image-based rendering techniques

    Harry Shum;Sing Bing Kang

  • Motion texture: a two-level statistical model for character motion synthesis

    Yan Li;Tianshu Wang;Heung-Yeung Shum

  • Fundamental limits of reconstruction-based superresolution algorithms under local translation

    Zhouchen Lin;Heung-Yeung Shum

  • Symmetric stereo matching for occlusion handling

    Jian Sun;Yin Li;S.B. Kang;Heung-Yeung Shum

Frequent Co-Authors

Baining Guo
Baining Guo Microsoft (United States)
Jian Sun
Jian Sun Megvii
Ying-Qing Xu
Ying-Qing Xu Tsinghua University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Xin Tong
Xin Tong Microsoft Research Asia (China)
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Kun Zhou
Kun Zhou Zhejiang University
Richard Szeliski
Richard Szeliski University of Washington
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Yin Li
Yin Li Chinese Academy of Sciences

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