World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13710
World Ranking
4506
National Ranking
602

Rynson W. H. Lau 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 Rynson W. H. Lau 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: 363 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Rynson W. H. Lau 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 Rynson W. H. Lau 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Rynson W. H. Lau is affiliated with City University of Hong Kong in China. Their research primarily falls within Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Media Technology, and Cognitive Neuroscience.

The scientist has published extensively in key areas, notably on topics including Advanced Image and Video Retrieval Techniques, Visual Attention and Saliency Detection, Image Enhancement Techniques, Advanced Neural Network Applications, Advanced Vision and Imaging, Computer Graphics and Visualization Techniques, and Advanced Image Processing Techniques.

Frequent publication venues for Rynson W. H. Lau include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Image Processing, ACM Transactions on Graphics, and the International Journal of Computer Vision.

Recent notable papers authored by or with contributions from Rynson W. H. Lau include:

  • HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions, 2021, IEEE Transactions on Image Processing
  • MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Weakly-Supervised Camouflaged Object Detection with Scribble Annotations, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • What makes instance discrimination good for transfer learning?, 2020, arXiv (Cornell University)
  • Weakly-Supervised Salient Object Detection With Saliency Bounding Boxes, 2021, IEEE Transactions on Image Processing

The scientist frequently collaborates with other researchers such as Ke Xu, Jiaying Lin, Zhanghan Ke, Ying Cao, and Xin Yang.

In addition to journal and conference publications, Rynson W. H. Lau has contributed to books published by Springer Science+Business Media, including two editions of "Emerging Technologies for Education" released in 2021 and 2024.

Best Publications

  • BiFormer: Vision Transformer with Bi-Level Routing Attention

    Unknown

  • Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset

    Tianyu Wang;Xin Yang;Ke Xu;Shaozhe Chen

  • VITAL: VIsual Tracking via Adversarial Learning

    Yibing Song;Chao Ma;Xiaohe Wu;Lijun Gong

  • CREST: Convolutional Residual Learning for Visual Tracking

    Yibing Song;Chao Ma;Lijun Gong;Jiawei Zhang

  • Visual Tracking via Locality Sensitive Histograms

    Shengfeng He;Qingxiong Yang;Rynson W. H. Lau;Jiang Wang

  • Learning to Restore Low-Light Images via Decomposition-and-Enhancement

    Ke Xu;Xin Yang;Baocai Yin;Rynson W.H. Lau

  • Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks

    Jiawei Zhang;Jinshan Pan;Jimmy Ren;Yibing Song

  • SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection

    Shengfeng He;Rynson W. Lau;Wenxi Liu;Zhe Huang

  • DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal

    Liangqiong Qu;Jiandong Tian;Shengfeng He;Yandong Tang

  • Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning

    Zhanghan Ke;Daoye Wang;Qiong Yan;Jimmy Ren

  • CHECK: a document plagiarism detection system

    Antonio Si;Hong Va Leong;Rynson W. H. Lau

  • Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning

    Zhanghan Ke;Di Qiu;Kaican Li;Qiong Yan

  • MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

    Unknown

  • Night-Time Scene Parsing With a Large Real Dataset

    Xin Tan;Ke Xu;Ying Cao;Yiheng Zhang

  • Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss

    Jianbo Jiao;Ying Cao;Yibing Song;Rynson W. H. Lau

  • HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions

    Yuzhen Niu;Jianbin Wu;Wenxi Liu;Wenzhong Guo

  • Content-aware generative modeling of graphic design layouts

    Xinru Zheng;Xiaotian Qiao;Ying Cao;Rynson W. H. Lau

  • Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution

    Jiawei Zhang;Jinshan Pan;Wei-Sheng Lai;Rynson W. H. Lau

  • A multi-server architecture for distributed virtual walkthrough

    Beatrice Ng;Antonio Si;Rynson W.H. Lau;Frederick W.B. Li

  • Distraction-Aware Shadow Detection

    Quanlong Zheng;Xiaotian Qiao;Ying Cao;Rynson W.H. Lau

  • CyberWalk: a web-based distributed virtual walkthrough environment

    J. Chim;R.W.H. Lau;H.V. Leong;A. Si

  • A statistical similarity measure for aggregate crowd dynamics

    Stephen J. Guy;Jur van den Berg;Wenxi Liu;Rynson Lau

  • Recent development in multimedia e-learning technologies

    Rynson W. Lau;Neil Y. Yen;Frederick Li;Benjamin Wah

  • Computing inverse kinematics with linear programming

    Edmond S. L. Ho;Taku Komura;Rynson W. H. Lau

Frequent Co-Authors

Qing Li
Qing Li Hong Kong Polytechnic University
Taku Komura
Taku Komura University of Edinburgh
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Qiang Zhang
Qiang Zhang Dalian University of Technology
Antoni B. Chan
Antoni B. Chan City University of Hong Kong
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Ming C. Lin
Ming C. Lin University of Maryland, College Park
Nadia Magnenat-Thalmann
Nadia Magnenat-Thalmann University of Geneva

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 opens a wide range of online degree and career options. Many students choose to broaden their knowledge with interdisciplinary education. For example, those interested in technology leadership can pursue affordable emba programs, which prepare you for top management roles in tech-driven businesses.

If you are passionate about data management and information systems, an online library science degree can complement your computer science expertise and lead to opportunities managing digital libraries and information assets.

For cost-effective upskilling, consider the cheapest masters degrees available online. These programs help you specialize further without a significant financial burden.

Ambitious professionals may prefer doctoral paths such as a phd organizational leadership. This can open doors to executive and academic careers, even in tech sectors. Explore these related degrees to customize your journey within computer science and beyond.

Best Scientists Citing Rynson W. H. Lau

Trending Scientists

Recently Published Articles