World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
21360
World Ranking
1499
National Ranking
205

Yizhou Yu 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 Yizhou Yu 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: 280 publications — 69th percentile

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

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

Yizhou Yu 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 Yizhou Yu 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

  • 2019 - IEEE Fellow For contributions to geometric and image-based modeling
  • 2018 - ACM Distinguished Member

Overview

Yizhou Yu is affiliated with the University of Hong Kong in China and has conducted research spanning the fields of Computer Science and Medicine. Their work focuses on subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, and Neurology.

The scientist's research topics include:

  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Medical Image Segmentation Techniques

Yizhou Yu has published extensively in prominent venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Medical Imaging
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing

Their recent papers showcase topics in medical image segmentation and multimodal learning approaches. Notable recent publications include:

  • "nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer," 2023, IEEE Transactions on Image Processing
  • "nnFormer: Interleaved Transformer for Volumetric Segmentation," 2021, arXiv (Cornell University)
  • "Cross-modality deep feature learning for brain tumor segmentation," 2020, Pattern Recognition
  • "A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics," 2023, Nature Biomedical Engineering
  • "A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images," 2020, European Radiology

Collaborations feature frequently with several co-authors including Hong-Yu Zhou, Guanbin Li, Fandong Zhang, Gangming Zhao, and Xiaoguang Han.

Yizhou Yu has been recognized with awards such as:

  • IEEE Fellow (2019) for contributions to geometric and image-based modeling
  • ACM Distinguished Member (2018)

Best Publications

  • Visual saliency based on multiscale deep features

    Guanbin Li;Yizhou Yu

  • HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition

    Zhicheng Yan;Hao Zhang;Robinson Piramuthu;Vignesh Jagadeesh

  • Neural Style Transfer: A Review

    Yongcheng Jing;Yezhou Yang;Zunlei Feng;Jingwen Ye

  • Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping

    Paul Debevec;Yizhou Yu;George Boshokov

  • Mesh editing with poisson-based gradient field manipulation

    Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

  • Deep Contrast Learning for Salient Object Detection

    Guanbin Li;Yizhou Yu

  • Inverse global illumination: recovering reflectance models of real scenes from photographs

    Yizhou Yu;Paul Debevec;Jitendra Malik;Tim Hawkins

  • nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

    Unknown

  • Visual Saliency Detection Based on Multiscale Deep CNN Features

    Guanbin Li;Yizhou Yu

  • High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

    Xiaoguang Han;Zhen Li;Haibin Huang;Evangelos Kalogerakis

  • Particle-based simulation of granular materials

    Nathan Bell;Yizhou Yu;Peter J. Mucha

  • Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up

    Weifeng Ge;Xiangru Lin;Yizhou Yu

  • Instance-Level Salient Object Segmentation

    Guanbin Li;Yuan Xie;Liang Lin;Yizhou Yu

  • Feature matching and deformation for texture synthesis

    Qing Wu;Yizhou Yu

  • Automatic Photo Adjustment Using Deep Neural Networks

    Zhicheng Yan;Hao Zhang;Baoyuan Wang;Sylvain Paris

  • Recovering photometric properties of architectural scenes from photographs

    Yizhou Yu;Jitendra Malik

  • FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

    Huikai Wu;Junge Zhang;Kaiqi Huang;Kongming Liang

  • Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning

    Weifeng Ge;Yizhou Yu

  • Dynamic Graph Attention for Referring Expression Comprehension

    Sibei Yang;Guanbin Li;Yizhou Yu

  • An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition

    Sai Bi;Xiaoguang Han;Yizhou Yu

  • Adaptive Context Selection for Polyp Segmentation

    Ruifei Zhang;Guanbin Li;Zhen Li;Shuguang Cui

  • Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

    Weifeng Ge;Sibei Yang;Yizhou Yu

  • The ACM SIGGRAPH / Eurographics Symposium on Computer Animation

    J Chai;Y Yu;T Kim;RW Sumner

Frequent Co-Authors

Guanbin Li
Guanbin Li Sun Yat-sen University
Yizhou Wang
Yizhou Wang Peking University
Liang Lin
Liang Lin Sun Yat-sen University
Wenping Wang
Wenping Wang Texas A&M University
Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Kun Zhou
Kun Zhou Zhejiang University
Baining Guo
Baining Guo Microsoft (United States)
Guangming Lu
Guangming Lu Nanjing University
Hao Zhang
Hao Zhang Simon Fraser University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology

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