Ryoma Bise

47 papers and 486 indexed citations i.

About

Ryoma Bise is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Ryoma Bise has authored 47 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 13 papers in Biophysics. Recurrent topics in Ryoma Bise’s work include Cell Image Analysis Techniques (11 papers), Image Processing Techniques and Applications (11 papers) and AI in cancer detection (11 papers). Ryoma Bise is often cited by papers focused on Cell Image Analysis Techniques (11 papers), Image Processing Techniques and Applications (11 papers) and AI in cancer detection (11 papers). Ryoma Bise collaborates with scholars based in Japan, United States and United Kingdom. Ryoma Bise's co-authors include Takeo Kanade, Zhaozheng Yin, Seungil Huh, Dai Fei Elmer Ker, Mei Chen, Mei Chen, Yoichi Sato, Kazuhide Watanabe, Susumu Saito and Chenyang Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Ryoma Bise i

Fields of papers citing papers by Ryoma Bise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryoma Bise

Since Specialization
Citations

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