Tomoharu Kiyuna

28 papers and 360 indexed citations i.

About

Tomoharu Kiyuna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tomoharu Kiyuna has authored 28 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tomoharu Kiyuna’s work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Digital Imaging for Blood Diseases (7 papers). Tomoharu Kiyuna is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Digital Imaging for Blood Diseases (7 papers). Tomoharu Kiyuna collaborates with scholars based in Japan, United States and Russia. Tomoharu Kiyuna's co-authors include Akira Saito, Eric Cosatto, Hiroshi Yoshida, Yoshiko Yamashita, Masahiko Kuroda, Kosuke Oikawa, Hideyuki Tanabe, Hiroshi Mizusawa, Kiyoshi Mukai and Keiichi Yoshida and has published in prestigious journals such as NeuroImage, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Tomoharu Kiyuna i

Fields of papers citing papers by Tomoharu Kiyuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoharu Kiyuna. 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 Tomoharu Kiyuna. The network helps show where Tomoharu Kiyuna may publish in the future.

Countries citing papers authored by Tomoharu Kiyuna

Since Specialization
Citations

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