Beiyi Shen

About

Beiyi Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Oncology. According to data from OpenAlex, Beiyi Shen has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Infectious Diseases and 2 papers in Oncology. Recurrent topics in Beiyi Shen’s work include COVID-19 diagnosis using AI (6 papers), COVID-19 Clinical Research Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Beiyi Shen is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), COVID-19 Clinical Research Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Beiyi Shen collaborates with scholars based in United States, Canada and Germany. Beiyi Shen's co-authors include Timothy Q. Duong, Haifang Li, Almas Abbasi, Yoshua Bengio, Paul Morrison, Joseph Cohen, Karsten Roth, Lan Dao, Marzyeh Ghassemi and Zijin Lin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Beiyi Shen i

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Fields of papers citing papers by Beiyi Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Beiyi Shen

Since Specialization

Citations

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).

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.

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