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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
99
Citations
39401
World Ranking
391
National Ranking
48

Shiguang 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 Shiguang 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: 532 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Shiguang 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 Shiguang 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: 99 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 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

Overview

Shiguang Shan is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on computer science, with a significant number of publications in computer vision and pattern recognition, artificial intelligence, and signal processing. They have also contributed to biomedical engineering and experimental and cognitive psychology within their wider academic scope.

The scientist has published extensively in several notable venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Information Forensics and Security

Shiguang Shan's recent papers cover a range of topics within computer vision, machine learning, and domain adaptation:

  • "Clothes-Changing Person Re-identification with RGB Modality Only," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection," 2020, IEEE Transactions on Information Forensics and Security
  • "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Feature Completion for Occluded Person Re-Identification," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing," 2021, Pattern Recognition

The core research topics associated with Shiguang Shan include:

  • Face recognition and analysis
  • Video surveillance and tracking methods
  • Domain adaptation and few-shot learning
  • Human pose and action recognition
  • Multimodal machine learning applications
  • Advanced image and video retrieval techniques
  • Speech and audio processing

Frequent collaborations have been maintained with several other researchers, including Xilin Chen, Hong Chang, Bingpeng Ma, Ruibing Hou, and Meina Kan. The depth and range of these partnerships indicate ongoing collaborative efforts in various aspects of computer vision and related fields.

Best Publications

  • Deep Supervised Hashing for Fast Image Retrieval

    Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

  • The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations

    Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen

  • Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition

    Wenchao Zhang;Shiguang Shan;Wen Gao;Xilin Chen

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

    Yong Li;Jiabei Zeng;Shiguang Shan;Xilin Chen

  • AttGAN: Facial Attribute Editing by Only Changing What You Want

    Zhenliang He;Wangmeng Zuo;Meina Kan;Shiguang Shan

  • Multi-View Discriminant Analysis

    Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao

  • Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

    Yude Wang;Jie Zhang;Meina Kan;Shiguang Shan

  • Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

    Jie Zhang;Shiguang Shan;Meina Kan;Xilin Chen

  • Manifold-Manifold Distance with application to face recognition based on image set

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Self-paced curriculum learning

    Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

  • Illumination normalization for robust face recognition against varying lighting conditions

    Shiguang Shan;Wen Gao;Bo Cao;Debin Zhao

  • Shift-Net: Image Inpainting via Deep Feature Rearrangement

    Zhaoyi Yan;Xiaoming Li;Mu Li;Wangmeng Zuo

  • Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition

    Shufu Xie;Shiguang Shan;Xilin Chen;Jie Chen

  • Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

    Yu Su;Shiguang Shan;Xilin Chen;Wen Gao

  • Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

    Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen

  • Interaction-And-Aggregation Network for Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Cross Attention Network for Few-shot Classification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

    Mengyi Liu;Shaoxin Li;Shiguang Shan;Ruiping Wang

  • RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

    Xuesong Niu;Shiguang Shan;Hu Han;Xilin Chen

  • Locally Linear Regression for Pose-Invariant Face Recognition

    Xiujuan Chai;Shiguang Shan;Xilin Chen;Wen Gao

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Ruiping Wang
Ruiping Wang Chinese Academy of Sciences
Meina Kan
Meina Kan Chinese Academy of Sciences
Hong Chang
Hong Chang Chinese Academy of Sciences
Hu Han
Hu Han Chinese Academy of Sciences
Bingpeng Ma
Bingpeng Ma University of Chinese Academy of Sciences
Debin Zhao
Debin Zhao Harbin Institute of Technology
Shihong Lao
Shihong Lao SenseTime
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology

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