World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
14503
World Ranking
3409
National Ranking
56

Xinchao 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 Xinchao 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: 323 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Xinchao 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 Xinchao 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Xinchao Wang is affiliated with the National University of Singapore in Singapore and has a primary focus in the field of Computer Science. Their research encompasses several subfields, notably Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, and Aerospace Engineering.

Their work spans a range of topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image and Video Retrieval Techniques
  • Advanced Graph Neural Networks

Wang has contributed to multiple publication venues, with a significant number of works in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • The Cambridge Structural Database
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers by Wang include:

  • "MetaFormer is Actually What You Need for Vision", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Shunted Self-Attention via Multi-Scale Token Aggregation", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Dynamic Instance Normalization for Arbitrary Style Transfer", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "MetaFormer Baselines for Vision", 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "CAFE: Learning to Condense Dataset by Aligning Features", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The work often involves collaborations with frequent co-authors such as:

  • Mingli Song
  • Xingyi Yang
  • Songhua Liu
  • Jingwen Ye
  • Gongfan Fang

Best Publications

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Shuhang Gu;Luc Van Gool;Lei Zhang

  • Horizontal Pyramid Matching for Person Re-Identification

    Yang Fu;Yunchao Wei;Yuqian Zhou;Honghui Shi

  • On Compressing Deep Models by Low Rank and Sparse Decomposition

    Xiyu Yu;Tongliang Liu;Xinchao Wang;Dacheng Tao

  • DepGraph: Towards Any Structural Pruning

    Unknown

  • Shunted Self-Attention via Multi-Scale Token Aggregation

    Unknown

  • Wide Activation for Efficient and Accurate Image Super-Resolution.

    Jiahui Yu;Yuchen Fan;Jianchao Yang;Ning Xu

  • A FORCE PREDICTION MODEL FOR CUTTING UNIDIRECTIONAL FIBRE-REINFORCED PLASTICS

    L. C. Zhang;H. J. Zhang;X. M. Wang

  • Distilling Knowledge From Graph Convolutional Networks

    Yiding Yang;Jiayan Qiu;Mingli Song;Dacheng Tao

  • MetaFormer Baselines for Vision

    Unknown

  • Dynamic Instance Normalization for Arbitrary Style Transfer

    Yongcheng Jing;Xiao Liu;Yukang Ding;Xinchao Wang

  • One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation

    Chenhong Zhou;Changxing Ding;Xinchao Wang;Zhentai Lu

  • Dataset Distillation: A Comprehensive Review

    Unknown

  • Tracking Interacting Objects Using Intertwined Flows

    Xinchao Wang;Engin Turetken;Francois Fleuret;Pascal Fua

  • Dataset Distillation via Factorization

    Unknown

  • FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification

    Xiaoqing Yin;Xinchao Wang;Jun Yu;Maojun Zhang

  • CAFE: Learning to Condense Dataset by Aligning Features

    Unknown

  • Tracking Interacting Objects Optimally Using Integer Programming

    Xinchao Wang;Engin Türetken;François Fleuret;François Fleuret;Pascal Fua

  • Data-Free Adversarial Distillation

    Gongfan Fang;Jie Song;Chengchao Shen;Xinchao Wang

  • Subspaces Indexing Model on Grassmann Manifold for Image Search

    Xinchao Wang;Zhu Li;Dacheng Tao

  • EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning

    Unknown

  • Balanced Two-Stage Residual Networks for Image Super-Resolution

    Yuchen Fan;Honghui Shi;Jiahui Yu;Ding Liu

  • Geometry-Aware Scene Text Detection with Instance Transformation Network

    Fangfang Wang;Liming Zhao;Xi Li;Xinchao Wang

  • What Players do with the Ball: A Physically Constrained Interaction Modeling

    Andrii Maksai;Xinchao Wang;Pascal Fua

  • Non-Markovian Globally Consistent Multi-object Tracking

    Andrii Maksai;Xinchao Wang;Francois Fleuret;Pascal Fua

  • SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

    Shaoli Huang;Xinchao Wang;Dacheng Tao

  • Factorizable Graph Convolutional Networks

    Yiding Yang;Zunlei Feng;Mingli Song;Xinchao Wang

  • SPAGAN: Shortest Path Graph Attention Network.

    Yiding Yang;Xinchao Wang;Mingli Song;Junsong Yuan

Frequent Co-Authors

Mingli Song
Mingli Song Zhejiang University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jie Song
Jie Song Emory University
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Dapeng Tao
Dapeng Tao Yunnan University
Bin Fan
Bin Fan Carnegie Mellon University
Frederic Fleuret
Frederic Fleuret Leprince-Ringuet Laboratory
Changxing Ding
Changxing Ding South China University of Technology

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