Weina Fu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Artificial Intelligence top 5%
- AI and Multimedia in Education
- Advanced Technologies in Various Fields
Papers in
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- Video Surveillance and Tracking Methods 10
- Human Pose and Action Recognition 7
- Advanced Vision and Imaging 5
- Face and Expression Recognition 4
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- AI and Multimedia in Education 15
- Advanced Technologies in Various Fields 9
- Co-authors
- Shuai Liu (31 shared papers)Jiantao Zhou (7 shared papers)Zheng Pan (2 shared papers)Xiaochun Cheng (3 shared papers)Ming Ma (2 shared papers)Liqiang He (1 shared paper)Weiping Ding (2 shared papers)Qian‐Zhong Li (3 shared papers)
- Journals
- Mobile Networks and Applications (7 papers)Multimedia Tools and Applications (5 papers)Applied Mathematics and Computation (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Digital Communications and Networks (1 paper)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Weina Fu
45 papers receiving 766 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 284
- Artificial Intelligence 360
- Urban Studies 39
- Media Technology 52
- Information Systems 132
Countries citing papers authored by Weina Fu
This map shows the geographic impact of Weina Fu'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 Weina Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weina Fu more than expected).
Fields of papers citing papers by Weina Fu
This network shows the impact of papers produced by Weina Fu. 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 Weina Fu. The network helps show where Weina Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weina Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 114 | |
| 2 | 2022 | 97 | |
| 3 | 2016 | 84 | |
| 4 | 2014 | 53 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2022 | 34 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 32 | |
| 11 | 2013 | 32 | |
| 12 | 2013 | 24 | |
| 13 | 2013 | 22 | |
| 14 | 2023 | 18 | |
| 15 | 2015 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 11 | |
| 18 | 2025 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2014 | 8 |
About Weina Fu
Weina Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Mathematical Physics and Urban Studies, having authored 50 papers that have together received 787 indexed citations. Recurring topics across this work include AI and Multimedia in Education (15 papers), Video Surveillance and Tracking Methods (10 papers), Advanced Technologies in Various Fields (9 papers), Human Pose and Action Recognition (7 papers), Advanced Vision and Imaging (5 papers), Face and Expression Recognition (4 papers), Mathematical Dynamics and Fractals (4 papers) and AI and Big Data Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Artificial Intelligence (360 citations), Urban Studies (39 citations), Media Technology (52 citations) and Information Systems (132 citations). Weina Fu has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Shuai Liu, Jiantao Zhou, Zheng Pan, Xiaochun Cheng, Ming Ma, Liqiang He, Weiping Ding, Qian‐Zhong Li, Yating Li and Peng Gao. Their work appears in journals such as Mobile Networks and Applications, Multimedia Tools and Applications, Applied Mathematics and Computation, Engineering Applications of Artificial Intelligence and Digital Communications and Networks.
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.