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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
30541
World Ranking
724
National Ranking
109

Xiaokang Yang 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 Xiaokang Yang 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: 549 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Xiaokang Yang 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 Xiaokang Yang 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: 87 D-Index — 95th percentile

95% 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

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to perceptual modeling and processing of visual signals

Overview

Xiaokang Yang is a researcher affiliated with Shanghai Jiao Tong University in China, specializing in the field of Computer Science with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Radiology, Nuclear Medicine and Imaging.

The main topics of their work include:

  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Visual Attention and Saliency Detection
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition

Recent significant publications by Xiaokang Yang include:

  • "A deep learning system for detecting diabetic retinopathy across the disease spectrum," 2021, published in Nature Communications
  • "SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing," 2022, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "End-to-End Reconstruction-Classification Learning for Face Forgery Detection," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence," 2020, published in IEEE Transactions on Image Processing
  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond," 2021, published in ACM Computing Surveys

Xiaokang Yang has collaborated frequently with a number of co-authors. Among the most frequent are:

  • Guangtao Zhai
  • Junchi Yan
  • Xiongkuo Min
  • Yichao Yan
  • Bin Sheng

The researcher has contributed to publications in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

In addition to journal and conference papers, Xiaokang Yang has published books with Springer Science+Business Media, including:

  • "Digital TV and Wireless Multimedia Communication," 2021
  • "Digital TV and Wireless Multimedia Communications," 2022
  • "Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation," 2020

Xiaokang Yang was recognized as an IEEE Fellow in 2019 for contributions to perceptual modeling and processing of visual signals.

Best Publications

  • Hierarchical Convolutional Features for Visual Tracking

    Chao Ma;Jia-Bin Huang;Xiaokang Yang;Ming-Hsuan Yang

  • Cross-scene crowd counting via deep convolutional neural networks

    Cong Zhang;Hongsheng Li;Xiaogang Wang;Xiaokang Yang

  • Long-term correlation tracking

    Chao Ma;Xiaokang Yang;Chongyang Zhang;Ming-Hsuan Yang

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Learning a no-reference quality metric for single-image super-resolution

    Chao Ma;Chao Ma;Chih Yuan Yang;Xiaokang Yang;Ming Hsuan Yang

  • Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

    Weixia Zhang;Kede Ma;Guangtao Zhai;Xiaokang Yang

  • Blind Image Quality Estimation via Distortion Aggravation

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yutao Liu

  • Just noticeable distortion model and its applications in video coding

    Xiaokang Yang;W. S. Ling;Zhongkang Lu;Ee Ping Ong

  • PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

    Chunwei Wang;Chao Ma;Ming Zhu;Xiaokang Yang

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • CamShift guided particle filter for visual tracking

    Zhaowen Wang;Xiaokang Yang;Yi Xu;Songyu Yu

  • Crowd Counting via Adversarial Cross-Scale Consistency Pursuit

    Zan Shen;Yi Xu;Bingbing Ni;Minsi Wang

  • Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

    Jun Yu;Xiaokang Yang;Fei Gao;Dacheng Tao

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren;Junchi Yan;Bingbing Ni;Bin Liu

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Learning Combinatorial Embedding Networks for Deep Graph Matching

    Runzhong Wang;Junchi Yan;Xiaokang Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • A locally adaptive algorithm for measuring blocking artifacts in images and videos

    Feng Pan;Xiao Lin;Susanto Rahardja;Weisi Lin

  • Person Re-identification via Recurrent Feature Aggregation

    Yichao Yan;Bingbing Ni;Zhichao Song;Chao Ma

  • Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning

    Lianyang Ma;Xiaokang Yang;Dacheng Tao

Frequent Co-Authors

Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Ke Gu
Ke Gu Beijing University of Technology
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Weisi Lin
Weisi Lin Nanyang Technological University
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Kai Chen
Kai Chen Hong Kong University of Science and Technology

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