World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
17150
World Ranking
2100
National Ranking
1061

Guodong Guo 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 Guodong Guo 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Guodong Guo 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 Guodong Guo 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Guodong Guo is a researcher affiliated with West Virginia University in the United States. Their academic work primarily spans the field of Computer Science, with a concentration on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, and Electrical and Electronic Engineering.

The researcher has contributed substantially to various topics including:

  • Face recognition and analysis
  • Advanced Neural Network Applications
  • Biometric Identification and Security
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition

Guodong Guo's recent significant publications include:

  • "TransFER: Learning Relation-aware Facial Expression Representations with Transformers," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing," 2020, published in IEEE Transactions on Biometrics Behavior and Identity Science
  • "Dual-Path Attention Network for Compressed Sensing Image Reconstruction," 2020, published in IEEE Transactions on Image Processing
  • "Face Anti-Spoofing via Adversarial Cross-Modality Translation," 2021, published in IEEE Transactions on Information Forensics and Security
  • "Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition," 2022, published in IEEE Transactions on Affective Computing

The researcher frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Computer Vision
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Affective Computing

Collaborations are notable with repeat coauthors including Baochang Zhang, Jun Wan, Stan Z. Li, Zichang Tan, and Sérgio Escalera.

In addition to journal and conference papers, Guodong Guo has authored books in the area of face presentation attack detection published by Morgan & Claypool Publishers. These include "Multi-Modal Face Presentation Attack Detection" (2020) and "Advances in Face Presentation Attack Detection" (2023).

Best Publications

  • Age Synthesis and Estimation via Faces: A Survey

    Yun Fu;Guodong Guo;T S Huang

  • Face recognition by support vector machines

    Guodong Guo;S.Z. Li;Kapluk Chan

  • Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression

    Guodong Guo;Yun Fu;C.R. Dyer;T.S. Huang

  • Human age estimation using bio-inspired features

    Guodong Guo;Guowang Mu;Yun Fu;Thomas S Huang

  • Content-based audio classification and retrieval by support vector machines

    Guodong Guo;S.Z. Li

  • Support vector machines for face recognition

    Guodong Guo;Stan Z. Li;Kap Luk Chan

  • A survey on deep learning based face recognition

    Guodong Guo;Guodong Guo;Na Zhang

  • Learning similarity measure for natural image retrieval with relevance feedback

    Guo-Dong Guo;A.K. Jain;Wei-Ying Ma;Hong-Jiang Zhang

  • Support Vector Machines Applications

    Yunqian Ma;Guodong Guo

  • A survey on still image based human action recognition

    Guodong Guo;Alice Lai

  • Fusing Spatiotemporal Features and Joints for 3D Action Recognition

    Yu Zhu;Wenbin Chen;Guodong Guo

  • Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression

    Guodong Guo;Guowang Mu

  • TransFER: Learning Relation-Aware Facial Expression Representations With Transformers

    Fanglei Xue;Qiangchang Wang;Guodong Guo

  • Learning from examples in the small sample case: face expression recognition

    Guodong Guo;C.R. Dyer

  • Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

    Yu Zhu;Yuanyuan Shang;Zhuhong Shao;Guodong Guo

  • Visually Interpretable Representation Learning for Depression Recognition from Facial Images

    Xiuzhuang Zhou;Kai Jin;Yuanyuan Shang;Guodong Guo

  • Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

  • A study on automatic age estimation using a large database

    Guodong Guo;Guowang Mu;Yun Fu;Charles Dyer

  • CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing

    Shifeng Zhang;Ajian Liu;Jun Wan;Yanyan Liang

  • WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild

    Shifeng Zhang;Yiliang Xie;Jun Wan;Hansheng Xia

  • Joint estimation of age, gender and ethnicity: CCA vs. PLS

    Guodong Guo;Guowang Mu

  • Locally Adjusted Robust Regression for Human Age Estimation

    Guodong Guo;Yun Fu;T.S. Huang;C.R. Dyer

Frequent Co-Authors

Stan Z. Li
Stan Z. Li Westlake University
Charles R. Dyer
Charles R. Dyer University of Wisconsin–Madison
Yun Fu
Yun Fu Northeastern University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Michael Jones
Michael Jones Mitsubishi Electric (United States)
Sergio Escalera
Sergio Escalera University of Barcelona
Xiaolong Wang
Xiaolong Wang University of California, San Diego
xin li
xin li Louisiana State University
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

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