Zeyu Fu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Target Tracking and Data Fusion in Sensor Networks
Papers in
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- Video Surveillance and Tracking Methods 14
- Human Pose and Action Recognition 9
- Context-Aware Activity Recognition Systems 3
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- Anomaly Detection Techniques and Applications 10
- Target Tracking and Data Fusion in Sensor Networks 4
- Co-authors
- Syed Mohsen Naqvi (20 shared papers)Federico Angelini (5 shared papers)Jonathon A. Chambers (8 shared papers)Yang Long (1 shared paper)Ling Shao (1 shared paper)Pengming Feng (3 shared papers)Zhukuan Cheng (1 shared paper)Pengfei Jiang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (3 papers)Neurocomputing (2 papers)Nature Communications (1 paper)International Immunopharmacology (1 paper)Translational Lung Cancer Research (1 paper)
- Partner nations
- United KingdomChinaIsrael
In The Last Decade
Zeyu Fu
34 papers receiving 467 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 292
- Artificial Intelligence 204
- Safety, Risk, Reliability and Quality 34
- Human-Computer Interaction 20
- Health Informatics 4
Countries citing papers authored by Zeyu Fu
This map shows the geographic impact of Zeyu 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 Zeyu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeyu Fu more than expected).
Fields of papers citing papers by Zeyu Fu
This network shows the impact of papers produced by Zeyu 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 Zeyu Fu. The network helps show where Zeyu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeyu 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2019 | 75 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 54 | |
| 5 | 2023 | 30 | |
| 6 | 2018 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2019 | 5 |
About Zeyu Fu
Zeyu Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 481 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Anomaly Detection Techniques and Applications (10 papers), Human Pose and Action Recognition (9 papers), Fetal and Pediatric Neurological Disorders (4 papers), Infrared Target Detection Methodologies (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Gait Recognition and Analysis (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Artificial Intelligence (204 citations), Safety, Risk, Reliability and Quality (34 citations), Human-Computer Interaction (20 citations) and Health Informatics (4 citations). Zeyu Fu has collaborated with scholars based in United Kingdom, China and Israel. Frequent co-authors include Syed Mohsen Naqvi, Federico Angelini, Jonathon A. Chambers, Yang Long, Ling Shao, Pengming Feng, Zhukuan Cheng, Pengfei Jiang, Yijun Qi and Yi Shen. Their work appears in journals such as IEEE Transactions on Multimedia, Neurocomputing, Nature Communications, International Immunopharmacology and Translational Lung Cancer Research.
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.