2026 Guodong Guo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	68	2100	2035	1060	1020	245	17150

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

939
Citations
Face recognition by support vector machines

Guodong Guo;S.Z. Li;Kapluk Chan

886
Citations
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression

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

852
Citations
Human age estimation using bio-inspired features

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

722
Citations
Content-based audio classification and retrieval by support vector machines

Guodong Guo;S.Z. Li

681
Citations
Support vector machines for face recognition

Guodong Guo;Stan Z. Li;Kap Luk Chan

649
Citations
A survey on deep learning based face recognition

Guodong Guo;Guodong Guo;Na Zhang

475
Citations
Learning similarity measure for natural image retrieval with relevance feedback

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

329
Citations
Support Vector Machines Applications

Yunqian Ma;Guodong Guo

310
Citations
A survey on still image based human action recognition

Guodong Guo;Alice Lai

294
Citations
Fusing Spatiotemporal Features and Joints for 3D Action Recognition

Yu Zhu;Wenbin Chen;Guodong Guo

287
Citations
Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression

Guodong Guo;Guowang Mu

283
Citations
TransFER: Learning Relation-Aware Facial Expression Representations With Transformers

Fanglei Xue;Qiangchang Wang;Guodong Guo

277
Citations
Learning from examples in the small sample case: face expression recognition

Guodong Guo;C.R. Dyer

263
Citations
Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

Yu Zhu;Yuanyuan Shang;Zhuhong Shao;Guodong Guo

250
Citations
Visually Interpretable Representation Learning for Depression Recognition from Facial Images

Xiuzhuang Zhou;Kai Jin;Yuanyuan Shang;Guodong Guo

249
Citations
Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

227
Citations
A study on automatic age estimation using a large database

Guodong Guo;Guowang Mu;Yun Fu;Charles Dyer

203
Citations
CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing

Shifeng Zhang;Ajian Liu;Jun Wan;Yanyan Liang

188
Citations
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild

Shifeng Zhang;Yiliang Xie;Jun Wan;Hansheng Xia

176
Citations
Joint estimation of age, gender and ethnicity: CCA vs. PLS

Guodong Guo;Guowang Mu

173
Citations
Locally Adjusted Robust Regression for Human Age Estimation

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

172
Citations

Frequent Co-Authors

Stan Z. Li Westlake University

Charles R. Dyer University of Wisconsin–Madison

Yun Fu Northeastern University

Thomas S. Huang University of Illinois at Urbana-Champaign

Michael Jones Mitsubishi Electric (United States)

Sergio Escalera University of Barcelona

Hong-Jiang Zhang ByteDance

Xiaolong Wang University of California, San Diego

xin li Louisiana State University

Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

External Links

Personal website of Guodong Guo Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related online degrees and career opportunities. Today, many accredited institutions offer flexible online programs tailored to students with diverse interests, schedules, and budgets.

Some students may wish to combine their computer science knowledge with other disciplines. Those interested in sustainability can consider an environmental engineer degree online. This pathway empowers graduates to solve environmental challenges with the help of computing techniques.

On the technical side, engineering fields remain highly sought after. If you’re concerned about tuition, a mechanical engineering degree online cost comparison can help you find programs that fit your budget.

A strong physics background often complements computer science. Earning an online bachelor's degree in physics can enhance critical thinking skills and job prospects in tech and research.

Data science is another fast-growing area for computer science graduates. Pursuing a data scientist degree online can prepare you for in-demand roles in analytics, AI, and beyond.