Fei‐Yun Wu
Impact in
- Pathology and Forensic Medicine top 10%
- Ophthalmology and Eye Disorders
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Ophthalmology and Eye Disorders 10
- Epidemiology 12
- Acute Ischemic Stroke Management 10
- Co-authors
- Xiao‐Quan Xu (49 shared papers)Hao Hu (25 shared papers)Guo-Yi Su (17 shared papers)Hai‐Bin Shi (20 shared papers)Huanhuan Chen (11 shared papers)Qian Wu (10 shared papers)Lu Chen (8 shared papers)Hu Liu (8 shared papers)
- Journals
- Acta Radiologica (14 papers)Journal of Magnetic Resonance Imaging (6 papers)European Radiology (5 papers)Neuroradiology (4 papers)European Archives of Oto-Rhino-Laryngology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fei‐Yun Wu
65 papers receiving 809 citations
Peers
Comparison fields: 5 of 85
- Pathology and Forensic Medicine 127
- Radiology, Nuclear Medicine and Imaging 137
- Otorhinolaryngology 24
- Endocrinology, Diabetes and Metabolism 76
- Ophthalmology 33
Countries citing papers authored by Fei‐Yun Wu
This map shows the geographic impact of Fei‐Yun Wu'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 Fei‐Yun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei‐Yun Wu more than expected).
Fields of papers citing papers by Fei‐Yun Wu
This network shows the impact of papers produced by Fei‐Yun Wu. 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 Fei‐Yun Wu. The network helps show where Fei‐Yun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei‐Yun Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 1996 | 44 | |
| 3 | 2021 | 41 | |
| 4 | 2018 | 39 | |
| 5 | 2009 | 38 | |
| 6 | 2016 | 34 | |
| 7 | 2022 | 30 | |
| 8 | 2020 | 28 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 22 | |
| 14 | 2023 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2022 | 15 |
About Fei‐Yun Wu
Fei‐Yun Wu is a scholar working on Pathology and Forensic Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology, having authored 74 papers that have together received 820 indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (10 papers), Acute Ischemic Stroke Management (10 papers), MRI in cancer diagnosis (6 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Photodynamic Therapy Research Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Salivary Gland Tumors Diagnosis and Treatment (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (127 citations), Radiology, Nuclear Medicine and Imaging (137 citations), Otorhinolaryngology (24 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Ophthalmology (33 citations). Fei‐Yun Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiao‐Quan Xu, Hao Hu, Guo-Yi Su, Hai‐Bin Shi, Huanhuan Chen, Qian Wu, Lu Chen, Hu Liu, Wen Chen and Yan Zhou. Their work appears in journals such as Acta Radiologica, Journal of Magnetic Resonance Imaging, European Radiology, Neuroradiology and European Archives of Oto-Rhino-Laryngology.
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.