World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2023

D-Index & Metrics

Computer Science

D-Index
74
Citations
35003
World Ranking
1452
National Ranking
196

Dit-Yan Yeung 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 Dit-Yan Yeung 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Dit-Yan Yeung 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 Dit-Yan Yeung 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: 74 D-Index — 90th percentile

90% 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

  • 2023 - Research.com Computer Science in China Leader Award

Overview

Dit-Yan Yeung is affiliated with the Hong Kong University of Science and Technology in China. Their research work spans the main field of Computer Science, with a particular focus on several subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Automotive Engineering, and Computer Graphics and Computer-Aided Design.

The scientist's research addresses various topics including Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Natural Language Processing Techniques, Topic Modeling, Complex Network Analysis Techniques, Multimodal Machine Learning Applications, and Generative Adversarial Networks and Image Synthesis.

Dit-Yan Yeung has contributed to numerous papers published in diverse venues, with recent works including:

  • A Survey on Bayesian Deep Learning, 2020, ACM Computing Surveys
  • Earthformer: Exploring Space-Time Transformers for Earth System Forecasting, 2022, arXiv (Cornell University)
  • Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Temporal Link Prediction: A Unified Framework, Taxonomy, and Review, 2023, ACM Computing Surveys
  • High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation, 2023, IEEE Transactions on Knowledge and Data Engineering

The venues where Dit-Yan Yeung frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Computing Surveys
  • Pattern Recognition
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Frequent collaborators of Dit-Yan Yeung comprise Lanqing Hong, Zhenguo Li, Qifeng Chen, Kai Chen, and Zifan Shi.

Best Publications

  • Convolutional LSTM Network: a machine learning approach for precipitation nowcasting

    Xingjian Shi;Zhourong Chen;Hao Wang;Dit-Yan Yeung

  • Super-resolution through neighbor embedding

    Hong Chang;Dit-Yan Yeung;Yimin Xiong

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Collaborative Deep Learning for Recommender Systems

    Hao Wang;Naiyan Wang;Dit-Yan Yeung

  • Learning a Deep Compact Image Representation for Visual Tracking

    Naiyan Wang;Dit-Yan Yeung

  • Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

    Xingjian Shi;Zhihan Gao;Leonard Lausen;Hao Wang

  • Dynamic Key-Value Memory Networks for Knowledge Tracing

    Jiani Zhang;Xingjian Shi;Irwin King;Dit-Yan Yeung

  • Robust path-based spectral clustering

    Hong Chang;Dit-Yan Yeung

  • Constructive algorithms for structure learning in feedforward neural networks for regression problems

    Tin-Yau Kwok;Dit-Yan Yeung

  • Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

    Lin Sun;Kui Jia;Dit-Yan Yeung;Bertram E. Shi

  • SVC2004: First International Signature Verification Competition

    Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

  • Host-based intrusion detection using dynamic and static behavioral models

    Dit-Yan Yeung;Yuxin Ding

  • GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

    Jiani Zhang;Xingjian Shi;Junyuan Xie;Hao Ma

  • Mathematical expression recognition: a survey

    Kam-Fai Chan;Dit Yan Yeung

  • Understanding and Diagnosing Visual Tracking Systems

    Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia

  • Parzen-window network intrusion detectors

    Dit-Yan Yeung;C. Chow

  • Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models

    Siyi Li;Dit Yan Yeung

  • A convex formulation for learning task relationships in multi-task learning

    Yu Zhang;Dit-Yan Yeung

  • Transferring Rich Feature Hierarchies for Robust Visual Tracking

    Naiyan Wang;Siyi Li;Abhinav Gupta;Dit-Yan Yeung

  • DevNet: A Deep Event Network for multimedia event detection and evidence recounting

    Chuang Gan;Naiyan Wang;Yi Yang;Dit-Yan Yeung

Frequent Co-Authors

Yu Zhang
Yu Zhang Southern University of Science and Technology
Hong Chang
Hong Chang Chinese Academy of Sciences
James T. Kwok
James T. Kwok Hong Kong University of Science and Technology
Naiyan Wang
Naiyan Wang Hong Kong University of Science and Technology
Nevin L. Zhang
Nevin L. Zhang Hong Kong University of Science and Technology
George A. Bekey
George A. Bekey University of Southern California
Kui Jia
Kui Jia South China University of Technology
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Shaojie Shen
Shaojie Shen Hong Kong University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA can open doors to many related online degrees and career paths. For those looking to reduce costs, pursuing the least expensive online bachelor's degree in a technology field is a popular starting point.

Engineering and computer science careers often overlap, so students might also be interested in earning an online engineer degree. These programs offer flexible learning and equip graduates for high-demand roles in tech and industry.

As you advance, management roles in technology become more accessible with an executive mba online. This credential can help develop leadership skills and open opportunities in IT and business sectors.

Alternatively, those interested in data organization, information systems, or library technology can consider the most affordable online mlis programs. These blend computing with information science and are increasingly relevant in the digital world.

Each pathway offers flexible, affordable options tailored to different career goals within the broad field of computer science.

Best Scientists Citing Dit-Yan Yeung

Trending Scientists

Recently Published Articles