World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
11115
World Ranking
7434
National Ranking
979

Jue Wang 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 Jue Wang 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: 132 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Jue Wang 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 Jue Wang 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Jue Wang is a researcher affiliated with Tencent (China). Their scholarly work spans multiple domains within computer science and engineering, focusing particularly on computer vision and related subfields.

The main fields of study for Jue Wang include:

  • Computer Science
  • Engineering

Within these fields, Jue Wang's research is concentrated in several key subareas such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Computational Mechanics
  • Media Technology

The researcher's work covers various topics, including:

  • Advanced Image Processing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Image and Signal Denoising Methods

Jue Wang has contributed to numerous papers published in reputable venues. Notable recent publications include:

  • Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19 (2020), JAMA
  • VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training (2022), arXiv (Cornell University)
  • AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition (2022), arXiv (Cornell University)
  • Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • High-Fidelity GAN Inversion for Image Attribute Editing (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequently publishing in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal
  • ACM Transactions on Graphics

Jue Wang collaborates regularly with several researchers, including:

  • Yong Zhang
  • Yanbo Fan
  • Baoyuan Wu
  • Shuaicheng Liu
  • Xuan Wang

Best Publications

  • Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing

    Ketan Tang;Jianchao Yang;Jue Wang

  • Deep Video Deblurring for Hand-Held Cameras

    Shuochen Su;Mauricio Delbracio;Jue Wang;Guillermo Sapiro

  • Video SnapCut: robust video object cutout using localized classifiers

    Xue Bai;Jue Wang;David Simons;Guillermo Sapiro

  • Optimized Color Sampling for Robust Matting

    Jue Wang;M.F. Cohen

  • Image and video matting: a survey

    Jue Wang;Michael F. Cohen

  • Interactive video cutout

    Jue Wang;Pravin Bhat;R. Alex Colburn;Maneesh Agrawala

  • Edge-based blur kernel estimation using patch priors

    Libin Sun;Sunghyun Cho;Jue Wang;J. Hays

  • An iterative optimization approach for unified image segmentation and matting

    J. Wang;M.F. Cohen

  • A perceptually motivated online benchmark for image matting

    Christoph Rhemann;Carsten Rother;Jue Wang;Margrit Gelautz

  • Subspace video stabilization

    Feng Liu;Michael Gleicher;Jue Wang;Hailin Jin

  • Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors

    Weilin Huang;Zhe Lin;Jianchao Yang;Jue Wang

  • Video tooning

    Jue Wang;Yingqing Xu;Heung-Yeung Shum;Michael F. Cohen

  • The cartoon animation filter

    Jue Wang;Steven M. Drucker;Maneesh Agrawala;Michael F. Cohen

  • Handling Noise in Single Image Deblurring Using Directional Filters

    Lin Zhong;Sunghyun Cho;Dimitris Metaxas;Sylvain Paris

  • Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization

    Chen Chen;Minh N. Do;Jue Wang

  • Video deblurring for hand-held cameras using patch-based synthesis

    Sunghyun Cho;Jue Wang;Seungyong Lee

  • Soft scissors: an interactive tool for realtime high quality matting

    Jue Wang;Maneesh Agrawala;Michael F. Cohen

  • Expression flow for 3D-aware face component transfer

    Fei Yang;Jue Wang;Eli Shechtman;Lubomir Bourdev

  • Pause-and-play: automatically linking screencast video tutorials with applications

    Suporn Pongnumkul;Mira Dontcheva;Wilmot Li;Jue Wang

  • Practical Deep Raw Image Denoising on Mobile Devices

    Unknown

  • DocUNet: Document Image Unwarping via a Stacked U-Net

    Ke Ma;Zhixin Shu;Xue Bai;Jue Wang

Frequent Co-Authors

Michael F. Cohen
Michael F. Cohen Facebook (United States)
Shi-Min Hu
Shi-Min Hu Tsinghua University
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Ying-Qing Xu
Ying-Qing Xu Tsinghua University
Seungyong Lee
Seungyong Lee Pohang University of Science and Technology
Qionghai Dai
Qionghai Dai Tsinghua University
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Lubomir Bourdev
Lubomir Bourdev WaveOne, Inc.
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)

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

If you’re considering studying Computer Science in the USA, you may also want to explore related online degrees that can boost your career options. Fields like mechanical engineering, data science, physics, and electrical engineering share foundational skills with computer science—and many universities now offer flexible online programs to help you specialize or diversify.

The mechanical engineering degree online cost has become more accessible thanks to affordable programs, allowing students to study cutting-edge technologies without breaking the bank. Those with an interest in theoretical and applied science can pursue an online bachelor's degree in physics, gaining problem-solving and analytical skills valued in tech and engineering.

For students focused on big data and analytics, data science degrees bring practical training in statistics, programming, and machine learning—skills in high demand across industries. Meanwhile, accredited online electrical engineering programs help students build expertise in electronics, hardware, and systems integration, providing a pathway into technological innovation.

Each of these online degrees can open up new career pathways in today’s evolving tech landscape, complementing your knowledge of computer science and expanding your professional opportunities.

Best Scientists Citing Jue Wang

Trending Scientists

Recently Published Articles