Fumin Shen
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- Advanced Image and Video Retrieval Techniques 92
- Multimodal Machine Learning Applications 75
- Human Pose and Action Recognition 41
- Video Surveillance and Tracking Methods 39
- Image Retrieval and Classification Techniques 37
- Video Analysis and Summarization 26
- Advanced Neural Network Applications 22
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 41
- Media Technology top 0.5%
- Computational Mathematics top 5%
- Signal Processing top 2%
- Journals
- IEEE Transactions on Image Processing (16 papers)Neurocomputing (14 papers)IEEE Transactions on Multimedia (13 papers)
- Partner nations
- ChinaAustraliaUnited Arab Emirates
In The Last Decade
Fumin Shen
199 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 6.1k
- Artificial Intelligence 2.9k
- Media Technology 539
- Computational Mathematics 21
- Signal Processing 338
Countries citing papers authored by Fumin Shen
This map shows the geographic impact of Fumin Shen'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 Fumin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumin Shen more than expected).
Fields of papers citing papers by Fumin Shen
This network shows the impact of papers produced by Fumin Shen. 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 Fumin Shen. The network helps show where Fumin Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fumin Shen, 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 | 2024 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 50 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 57 | |
| 15 | 2019 | 15 | |
| 16 | Structure-Aware 3D Shape Synthesis from Single-View Images. | 2018 | 2 |
| 17 | 2018 | 207 | |
| 18 | 2017 | 76 | |
| 19 | A unified framework for discrete spectral clustering | 2016 | 22 |
| 20 | 2016 | 58 |
About Fumin Shen
Fumin Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Human-Computer Interaction, having authored 205 papers that have together received 7.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (92 papers), Multimodal Machine Learning Applications (75 papers), Domain Adaptation and Few-Shot Learning (41 papers), Human Pose and Action Recognition (41 papers), Video Surveillance and Tracking Methods (39 papers), Image Retrieval and Classification Techniques (37 papers), Video Analysis and Summarization (26 papers) and Advanced Neural Network Applications (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.1k citations), Artificial Intelligence (2.9k citations), Media Technology (539 citations), Computational Mathematics (21 citations) and Signal Processing (338 citations). Fumin Shen has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Heng Tao Shen, Yang Yang, Xing Xu, Li Liu, Ling Shao, Xuelong Li, Zi Huang, Zheng Zhang, Yazhou Yao and Wei Liu. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition.
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.