World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
25603
World Ranking
1752
National Ranking
238

Xiaochun Cao 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 Xiaochun Cao 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: 344 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Xiaochun Cao 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 Xiaochun Cao 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: 71 D-Index — 88th percentile

88% 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

  • 2010 - IAPR P. Zamperoni Award Triangle-Constraint for Finding More Good Features
  • 2004 - IAPR P. Zamperoni Award

Overview

Xiaochun Cao is affiliated with Sun Yat-sen University in China. Their research contributions are primarily within the field of Computer Science, with specific focus areas including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Information Systems, and Signal Processing.

The scientist's work covers several main topics, including:

  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Digital Media Forensic Detection

Xiaochun Cao has published extensively, with notable recent papers including:

  • "A review of uncertainty quantification in deep learning: Techniques, applications and challenges" (2021) in Information Fusion
  • "Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images" (2020) in IEEE Transactions on Image Processing
  • "CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection" (2022) in IEEE Transactions on Image Processing
  • "Tensorized Multi-view Subspace Representation Learning" (2020) in International Journal of Computer Vision
  • "Dual Quaternion Knowledge Graph Embeddings" (2021) in Proceedings of the AAAI Conference on Artificial Intelligence

The venues where Xiaochun Cao frequently publishes include:

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

Among collaborators, Xiaochun Cao has worked regularly with the following researchers:

  • Wenqi Ren
  • Qingming Huang
  • Qianqian Xu
  • Xiaojun Jia
  • Zhiyong Yang

The scientist has received recognition in their field, including the IAPR P. Zamperoni Award in both 2004 and 2010. These awards reflect contributions related to feature detection techniques.

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks

    Wenqi Ren;Wenqi Ren;Si Liu;Hua Zhang;Jinshan Pan

  • Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation

    Huazhu Fu;Jun Cheng;Yanwu Xu;Damon Wing Kee Wong

  • Gated Fusion Network for Single Image Dehazing

    Wenqi Ren;Lin Ma;Jiawei Zhang;Jinshan Pan

  • Diversity-induced Multi-view Subspace Clustering

    Xiaochun Cao;Changqing Zhang;Huazhu Fu;Si Liu

  • Single Image Super-Resolution via a Holistic Attention Network

    Ben Niu;Weilei Wen;Wenqi Ren;Xiangde Zhang

  • Generalized Latent Multi-View Subspace Clustering

    Changqing Zhang;Huazhu Fu;Qinghua Hu;Xiaochun Cao

  • Low-Rank Tensor Constrained Multiview Subspace Clustering

    Changqing Zhang;Huazhu Fu;Si Liu;Guangcan Liu

  • Latent Multi-view Subspace Clustering

    Changqing Zhang;Qinghua Hu;Huazhu Fu;Pengfei Zhu

  • Low-Light Image Enhancement via a Deep Hybrid Network

    Wenqi Ren;Sifei Liu;Lin Ma;Qianqian Xu

  • Cluster-Based Co-Saliency Detection

    Huazhu Fu;Xiaochun Cao;Zhuowen Tu

  • Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

    Huazhu Fu;Jun Cheng;Yanwu Xu;Changqing Zhang

  • Deep People Counting in Extremely Dense Crowds

    Chuan Wang;Hua Zhang;Liang Yang;Si Liu

  • High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation

    Xiaochun Cao;Ling Du;Xingxing Wei;Dan Meng

  • Consistent and Specific Multi-view Subspace Clustering

    Shirui Luo;Changqing Zhang;Wei Zhang;Xiaochun Cao

  • Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges

    Wenqi Ren;Wenqi Ren;Jinshan Pan;Hua Zhang;Xiaochun Cao

  • Image Deblurring via Extreme Channels Prior

    Yanyang Yan;Wenqi Ren;Yuanfang Guo;Rui Wang

  • Depth Enhanced Saliency Detection Method

    Yupeng Cheng;Huazhu Fu;Xingxing Wei;Jiangjian Xiao

  • Single Image Deraining: A Comprehensive Benchmark Analysis

    Siyuan Li;Xiaochun Cao;Iago Breno Araujo;Wenqi Ren

  • ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

    Xiaojun Jia;Xingxing Wei;Xiaochun Cao;Hassan Foroosh

Frequent Co-Authors

Wenqi Ren
Wenqi Ren Sun Yat-sen University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Hassan Foroosh
Hassan Foroosh University of Central Florida
Xiaojie Guo
Xiaojie Guo Tianjin University
Changqing Zhang
Changqing Zhang Tianjin University
Si Liu
Si Liu Beihang University
Wei Liu
Wei Liu Tencent (China)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Runmin Cong
Runmin Cong Shandong University

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