Kun‐Hsing Yu

58 papers and 3.6k indexed citations i.

About

Kun‐Hsing Yu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun‐Hsing Yu has authored 58 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun‐Hsing Yu’s work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Kun‐Hsing Yu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Kun‐Hsing Yu collaborates with scholars based in United States, Taiwan and China. Kun‐Hsing Yu's co-authors include Isaac S. Kohane, Andrew L. Beam, M Snyder, Russ B. Altman, Christopher Ré, Gerald J. Berry, Daniel L. Rubin, Ce Zhang, Oren Miron and Rachel Wilf‐Miron and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

Co-authorship network of co-authors of Kun‐Hsing Yu i

Fields of papers citing papers by Kun‐Hsing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Hsing Yu. 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 Kun‐Hsing Yu. The network helps show where Kun‐Hsing Yu may publish in the future.

Countries citing papers authored by Kun‐Hsing Yu

Since Specialization
Citations

This map shows the geographic impact of Kun‐Hsing Yu'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 Kun‐Hsing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Hsing Yu 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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2025