Beiyi Shen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 2
- Radiology practices and education 2
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- COVID-19 Clinical Research Studies 3
- Co-authors
- Timothy Q. Duong (5 shared papers)Almas Abbasi (4 shared papers)Haifang Li (3 shared papers)Jocelyn Zhu (2 shared papers)Zijin Lin (1 shared paper)Audrey G. Chung (1 shared paper)Alexander Wong (1 shared paper)Lanying Wang (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Clinical Radiology (1 paper)PLoS ONE (1 paper)PeerJ (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Beiyi Shen
8 papers receiving 233 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 169
- Infectious Diseases 37
- Artificial Intelligence 61
- Pulmonary and Respiratory Medicine 59
Countries citing papers authored by Beiyi Shen
This map shows the geographic impact of Beiyi Shen'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 Beiyi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiyi Shen more than expected).
Fields of papers citing papers by Beiyi Shen
This network shows the impact of papers produced by Beiyi Shen. 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 Beiyi Shen. The network helps show where Beiyi Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Beiyi Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2021 | 38 | |
| 3 | 2020 | 30 | |
| 4 | 2016 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2022 | 0 |
About Beiyi Shen
Beiyi Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Genetics, Neurology and Oncology, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Radiology practices and education (2 papers), Infectious Diseases and Tuberculosis (1 paper), Long-Term Effects of COVID-19 (1 paper), Phytochemical Studies and Bioactivities (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Infectious Diseases (37 citations), Artificial Intelligence (61 citations) and Pulmonary and Respiratory Medicine (59 citations). Beiyi Shen has collaborated with scholars based in United States and Canada. Frequent co-authors include Timothy Q. Duong, Almas Abbasi, Haifang Li, Jocelyn Zhu, Zijin Lin, Audrey G. Chung, Alexander Wong, Lanying Wang, Adam J. Singer and Henry C. Thode. Their work appears in journals such as Clinical Cancer Research, Scientific Reports, Clinical Radiology, PLoS ONE and PeerJ.
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.