World's Best Scientists 2026 revealed!
Caifeng Shan

Caifeng Shan

D-Index & Metrics

Computer Science

D-Index
37
Citations
10899
World Ranking
10475
National Ranking
1292

Caifeng Shan 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 Caifeng Shan 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: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Caifeng Shan 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 Caifeng Shan 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Caifeng Shan is affiliated with Nanjing University in China and has contributed extensively to the fields of computer science, engineering, and medicine. Their research spans a range of subfields, including computer vision and pattern recognition, biomedical engineering, artificial intelligence, radiology, nuclear medicine and imaging, and surgery.

The scientist's work addresses several key topics such as advanced neural network applications, medical image segmentation techniques, non-invasive vital sign monitoring, human pose and action recognition, video surveillance and tracking methods, gait recognition and analysis, and visual attention and saliency detection.

Among the recent papers authored or coauthored by Caifeng Shan are:

  • Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation, 2020, IEEE Transactions on Biomedical Engineering
  • CANet: Context Aware Network for Brain Glioma Segmentation, 2021, IEEE Transactions on Medical Imaging
  • Deep learning for video object segmentation: a review, 2022, Artificial Intelligence Review

Caifeng Shan has collaborated frequently with several researchers, including:

  • Peter H. N. de With (14 coauthored works)
  • Liang Wang (13 coauthored works)
  • Zhang Zhang (12 coauthored works)
  • Wenjin Wang (8 coauthored works)
  • Erik Edström (7 coauthored works)

The scientist's publications are commonly featured in these venues:

  • arXiv (Cornell University) with 16 publications
  • IEEE Journal of Biomedical and Health Informatics with 15 publications
  • Neurocomputing with 8 publications
  • IEEE Transactions on Circuits and Systems for Video Technology with 7 publications
  • IEEE Transactions on Instrumentation and Measurement with 4 publications

The research contributions made by Caifeng Shan cover comprehensive applications of deep learning and neural network methodologies for interpreting and analyzing biomedical and video data, including segmentation techniques and action recognition from skeletal structure data.

Best Publications

  • Facial expression recognition based on Local Binary Patterns: A comprehensive study

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

    Di Huang;Caifeng Shan;M. Ardabilian;Yunhong Wang

  • Robust facial expression recognition using local binary patterns

    Caifeng Shan;Shaogang Gong;P.W. McOwan

  • Learning local binary patterns for gender classification on real-world face images

    Caifeng Shan

  • Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition.

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • Real-time hand tracking using a mean shift embedded particle filter

    Caifeng Shan;Tieniu Tan;Yucheng Wei

  • Deep Learning Based Brain Tumor Segmentation: A Survey.

    Zhihua Liu;Long Chen;Lei Tong;Feixiang Zhou

  • Real time hand tracking by combining particle filtering and mean shift

    Caifeng Shan;Yucheng Wei;Tieniu Tan;F. Ojardias

  • Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition.

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

  • RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

    Qiang Zhang;Nianchang Huang;Lin Yao;Dingwen Zhang

  • Beyond Facial Expressions: Learning Human Emotion from Body Gestures

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition

    Caifeng Shan;Tommaso Gritti

  • Local features based facial expression recognition with face registration errors

    T. Gritti;C. Shan;V. Jeanne;R. Braspenning

  • Smile detection by boosting pixel differences

    Caifeng Shan

  • Appearance manifold of facial expression

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Sensors, vision and networks: From video surveillance to activity recognition and health monitoring

    Andrea Prati;Caifeng Shan;Kevin I-Kai Wang

  • Deep learning for video object segmentation: a review

    Unknown

  • Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation

    Stojan Trajanovski;Caifeng Shan;Pim J. C. Weijtmans;Susan G. Brouwer de Koning

  • Fusing gait and face cues for human gender recognition

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Deep Salient Object Detection With Contextual Information Guidance

    Yi Liu;Jungong Han;Qiang Zhang;Caifeng Shan

  • Dynamic Facial Expression Recognition Using A Bayesian Temporal Manifold Model.

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Conditional Mutual Infomation Based Boosting for Facial Expression Recognition

    Caifeng Shan;Shaogang Gong;Peter W. McOwan

  • Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition

    Yi-Fan Song;Zhang Zhang;Caifeng Shan;Liang Wang

Frequent Co-Authors

Ronaldus Maria Aarts
Ronaldus Maria Aarts Eindhoven University of Technology
Shaogang Gong
Shaogang Gong Queen Mary University of London
Liang Wang
Liang Wang Chinese Academy of Sciences
Ling Shao
Ling Shao Terminus International
Jiebo Luo
Jiebo Luo University of Rochester
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences
Jungong Han
Jungong Han Aberystwyth University
Gerard De Haan
Gerard De Haan Eindhoven University of Technology
Huiyu Zhou
Huiyu Zhou University of Leicester
Senem Velipasalar
Senem Velipasalar Syracuse University

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