Guanbin Li
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- Multimodal Machine Learning Applications 45
- Advanced Image and Video Retrieval Techniques 32
- Human Pose and Action Recognition 27
- Advanced Neural Network Applications 26
- Visual Attention and Saliency Detection 21
- Video Surveillance and Tracking Methods 17
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 39
- Anomaly Detection Techniques and Applications 18
- Transportation top 1%
- Sensory Systems top 1%
- Media Technology top 0.5%
Guanbin Li
184 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 5.5k
- Artificial Intelligence 2.5k
- Transportation 510
- Sensory Systems 301
- Media Technology 518
Countries citing papers authored by Guanbin Li
This map shows the geographic impact of Guanbin Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guanbin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanbin Li more than expected).
Fields of papers citing papers by Guanbin Li
This network shows the impact of papers produced by Guanbin Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guanbin Li. The network helps show where Guanbin Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guanbin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AIbreakdown → | 2025 | 17 |
| 5 | 2025 | 1 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 2 | |
| 16 | SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question Answering. | 2021 | 4 |
| 17 | 2021 | 31 | |
| 18 | 2021 | 57 | |
| 19 | Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching | 2019 | 1 |
| 20 | 2017 | 148 |
About Guanbin Li
Guanbin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Transportation and Media Technology, having authored 192 papers that have together received 7.4k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (45 papers), Domain Adaptation and Few-Shot Learning (39 papers), Advanced Image and Video Retrieval Techniques (32 papers), Human Pose and Action Recognition (27 papers), Advanced Neural Network Applications (26 papers), Visual Attention and Saliency Detection (21 papers), Anomaly Detection Techniques and Applications (18 papers) and Video Surveillance and Tracking Methods (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Artificial Intelligence (2.5k citations), Transportation (510 citations), Sensory Systems (301 citations) and Media Technology (518 citations). Guanbin Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yizhou Yu, Liang Lin, Lingbo Liu, Ruijia Xu, Tianshui Chen, Sibei Yang, Wanli Ouyang, Jihan Yang, Haofeng Li and Guanqi Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging and IEEE Transactions on Intelligent Transportation Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.