Yu Fu
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image and Video Quality Assessment
Papers in
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- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 4
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- Internet Traffic Analysis and Secure E-voting 5
- Co-authors
- Jun Miao (1 shared paper)Lijuan Duan (1 shared paper)Chunpeng Wu (1 shared paper)Laiyun Qing (1 shared paper)Zhijun Yao (13 shared papers)Bin Hu (11 shared papers)Xingqian Ye (3 shared papers)Cheng Zhuo (13 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Medical Image Analysis (3 papers)PLoS ONE (2 papers)Computer Communications (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Fu
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 147
- Sensory Systems 100
- Computer Vision and Pattern Recognition 405
- Biochemistry 86
- Cognitive Neuroscience 231
- Radiology, Nuclear Medicine and Imaging 171
Countries citing papers authored by Yu Fu
This map shows the geographic impact of Yu 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 Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Fu more than expected).
Fields of papers citing papers by Yu Fu
This network shows the impact of papers produced by Yu 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 Yu Fu. The network helps show where Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 209 | |
| 2 | 2019 | 66 | |
| 3 | 2014 | 65 | |
| 4 | 2019 | 62 | |
| 5 | 2008 | 62 | |
| 6 | 2018 | 57 | |
| 7 | 2014 | 48 | |
| 8 | 2012 | 48 | |
| 9 | 2018 | 46 | |
| 10 | 2020 | 44 | |
| 11 | 2014 | 42 | |
| 12 | 2021 | 41 | |
| 13 | 2022 | 29 | |
| 14 | 2023 | 28 | |
| 15 | 2020 | 26 | |
| 16 | 2022 | 24 | |
| 17 | 2011 | 22 | |
| 18 | 2024 | 21 | |
| 19 | 2019 | 16 | |
| 20 | 2019 | 14 |
About Yu Fu
Yu Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computer Networks and Communications, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Network Security and Intrusion Detection (7 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Neural Network Applications (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Sensory Systems (100 citations), Computer Vision and Pattern Recognition (405 citations), Biochemistry (86 citations), Cognitive Neuroscience (231 citations) and Radiology, Nuclear Medicine and Imaging (171 citations). Yu Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Miao, Lijuan Duan, Chunpeng Wu, Laiyun Qing, Zhijun Yao, Bin Hu, Xingqian Ye, Cheng Zhuo, Shunjie Dong and Yue Yu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Medical Image Analysis, PLoS ONE, Computer Communications and IEEE Transactions on Medical Imaging.
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.