World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7718
World Ranking
9224
National Ranking
1172

Chao Xu 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 Chao Xu 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: 145 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Chao Xu 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 Chao Xu 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Chao Xu is a researcher affiliated with Peking University in China, specializing primarily in the fields of computer science and engineering. Their scholarly work spans multiple subfields, with a particular focus on computer vision and pattern recognition, aerospace engineering, artificial intelligence, astronomy and astrophysics, and biomedical engineering.

The research topics covered by Chao Xu include advanced neural network applications, advanced image processing techniques, astro and planetary science, spacecraft dynamics and control, domain adaptation and few-shot learning, image and signal denoising methods, and planetary science and exploration.

Their recent scholarly papers illustrate a focus on neural networks, image processing, and domain adaptation. Notable publications include:

  • "Source-Free Domain Adaptation via Distribution Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Pre-Trained Image Processing Transformer," 2020, arXiv (Cornell University)
  • "SCOP: Scientific Control for Reliable Neural Network Pruning," 2020, arXiv (Cornell University)
  • "Hire-MLP: Vision MLP via Hierarchical Rearrangement," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Distilling Portable Generative Adversarial Networks for Image Translation," 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Chao Xu frequently publishes in venues such as arXiv (Cornell University), Astrodynamics, IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the Proceedings of the AAAI Conference on Artificial Intelligence.

The researcher maintains a network of frequent collaborators, including Boxin Shi, Chang Xu, Xiang-Yu Huang, Yehui Tang, and Yunhe Wang.

Best Publications

  • A Survey on Multi-view Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Multi-View Intact Space Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Learning from Multiple Teacher Networks

    Shan You;Chang Xu;Chao Xu;Dacheng Tao

  • Large-Margin Multi-ViewInformation Bottleneck

    Chang Xu;Dacheng Tao;Chao Xu

  • Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction

    Yong Luo;Dacheng Tao;Kotagiri Ramamohanarao;Chao Xu

  • Ensemble Manifold Regularization

    Bo Geng;Dacheng Tao;Chao Xu;Linjun Yang

  • Multi-View Learning With Incomplete Views

    Chang Xu;Dacheng Tao;Chao Xu

  • DAML: Domain Adaptation Metric Learning

    Bo Geng;Dacheng Tao;Chao Xu

  • Manifold Regularized Multitask Learning for Semi-Supervised Multilabel Image Classification

    Yong Luo;Dacheng Tao;Bo Geng;Chao Xu

  • An Image Patch is a Wave: Phase-Aware Vision MLP

    Unknown

  • CNNpack: packing convolutional neural networks in the frequency domain

    Yunhe Wang;Chang Xu;Shan You;Dacheng Tao

  • Source-Free Domain Adaptation via Distribution Estimation

    Unknown

  • Multiview Matrix Completion for Multilabel Image Classification

    Yong Luo;Tongliang Liu;Dacheng Tao;Chao Xu

  • Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification

    Yong Luo;Dacheng Tao;Chang Xu;Chao Xu

  • Self-calibrating photometric stereo

    Boxin Shi;Yasuyuki Matsushita;Yichen Wei;Chao Xu

  • Hire-MLP: Vision MLP via Hierarchical Rearrangement

    Unknown

  • Robust Extreme Multi-label Learning

    Chang Xu;Dacheng Tao;Chao Xu

  • Ranking Model Adaptation for Domain-Specific Search

    Bo Geng;Linjun Yang;Chao Xu;Xian-Sheng Hua

  • Database Saliency for Fast Image Retrieval

    Yuan Gao;Miaojing Shi;Dacheng Tao;Chao Xu

  • Multi-view self-paced learning for clustering

    Chang Xu;Dacheng Tao;Chao Xu

  • Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification

    Yong Luo;Yonggang Wen;Dacheng Tao;Jie Gui

  • Multi-View Matrix Completion for Multi-Label Image Classification

    Yong Luo;Tongliang Liu;Dacheng Tao;Chao Xu

  • Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

    Yong Luo;Dacheng Tao;Yonggang Wen;Kotagiri Ramamohanarao

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Chang Xu
Chang Xu University of Sydney
Yunhe Wang
Yunhe Wang Huawei Technologies (China)
Boxin Shi
Boxin Shi Peking University
Linjun Yang
Linjun Yang Microsoft (United States)
Yonggang Wen
Yonggang Wen Nanyang Technological University
Chunjing Xu
Chunjing Xu Huawei Technologies (China)
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne

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