Bowen Xin
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Xiuying Wang (17 shared papers)Shaoli Song (6 shared papers)Dagan Feng (3 shared papers)Chong‐Rui Xu (2 shared papers)Yun Zhou (4 shared papers)Lisheng Wang (3 shared papers)Xuetong Li (2 shared papers)Shengnan Liang (2 shared papers)
- Journals
- Journal of Translational Medicine (3 papers)Frontiers in Oncology (2 papers)Cell Reports (1 paper)Medical Image Analysis (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bowen Xin
21 papers receiving 424 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 161
- Neurology 22
- Gastroenterology 11
- Pulmonary and Respiratory Medicine 58
Countries citing papers authored by Bowen Xin
This map shows the geographic impact of Bowen Xin'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 Bowen Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Xin more than expected).
Fields of papers citing papers by Bowen Xin
This network shows the impact of papers produced by Bowen Xin. 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 Bowen Xin. The network helps show where Bowen Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bowen Xin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2019 | 51 | |
| 3 | 2022 | 50 | |
| 4 | 2019 | 50 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 2 |
About Bowen Xin
Bowen Xin is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 427 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Brain Tumor Detection and Classification (2 papers), interferon and immune responses (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Topological and Geometric Data Analysis (2 papers), Cell Image Analysis Techniques (2 papers), Bioinformatics and Genomic Networks (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Neurology (22 citations), Gastroenterology (11 citations) and Pulmonary and Respiratory Medicine (58 citations). Bowen Xin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiuying Wang, Shaoli Song, Dagan Feng, Chong‐Rui Xu, Yun Zhou, Lisheng Wang, Xuetong Li, Shengnan Liang, Junyan Xu and Ziyi Yang. Their work appears in journals such as Journal of Translational Medicine, Frontiers in Oncology, Cell Reports, Medical Image Analysis and Frontiers in Human Neuroscience.
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.