Jiangfen Wu
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 12
- MRI in cancer diagnosis 8
- COVID-19 diagnosis using AI 4
- Advanced MRI Techniques and Applications 3
- Genetics 8
- Hemoglobinopathies and Related Disorders 5
- Glioma Diagnosis and Treatment 3
- Co-authors
- Ning Mao (3 shared papers)Lei Chen (2 shared papers)Mei Yuan (6 shared papers)Hai Li (5 shared papers)Chao Sun (2 shared papers)Yan Zhong (5 shared papers)Tongfu Yu (5 shared papers)Weidao Chen (11 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (8 papers)European Radiology (6 papers)Medicine (3 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)European Journal of Radiology (1 paper)
- Partner nations
- ChinaSpainUnited States
In The Last Decade
Jiangfen Wu
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Health Informatics 37
- Radiology, Nuclear Medicine and Imaging 526
- Pulmonary and Respiratory Medicine 273
- Genetics 63
- Hepatology 45
Countries citing papers authored by Jiangfen Wu
This map shows the geographic impact of Jiangfen 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 Jiangfen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangfen Wu more than expected).
Fields of papers citing papers by Jiangfen Wu
This network shows the impact of papers produced by Jiangfen 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 Jiangfen Wu. The network helps show where Jiangfen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangfen 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2018 | 109 | |
| 3 | 2018 | 61 | |
| 4 | 2015 | 58 | |
| 5 | 2021 | 49 | |
| 6 | 2022 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2017 | 42 | |
| 9 | 2016 | 39 | |
| 10 | 2019 | 34 | |
| 11 | 2017 | 32 | |
| 12 | 2014 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2017 | 27 | |
| 15 | 2018 | 27 | |
| 16 | 2022 | 26 | |
| 17 | 2021 | 24 | |
| 18 | 2023 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2022 | 21 |
About Jiangfen Wu
Jiangfen Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Hepatology, Hematology and Nephrology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), MRI in cancer diagnosis (8 papers), Hemoglobinopathies and Related Disorders (5 papers), COVID-19 diagnosis using AI (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Iron Metabolism and Disorders (3 papers), Glioma Diagnosis and Treatment (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (526 citations), Pulmonary and Respiratory Medicine (273 citations), Genetics (63 citations) and Hepatology (45 citations). Jiangfen Wu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Ning Mao, Lei Chen, Mei Yuan, Hai Li, Chao Sun, Yan Zhong, Tongfu Yu, Weidao Chen, Ping Yin and Chao Zhao. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Medicine, International Journal of Computer Assisted Radiology and Surgery and European Journal of Radiology.
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.