Fukunaga

About

Fukunaga is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fukunaga has authored 9 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Fukunaga’s work include Uterine Myomas and Treatments (2 papers), Gene Regulatory Network Analysis (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). Fukunaga is often cited by papers focused on Uterine Myomas and Treatments (2 papers), Gene Regulatory Network Analysis (1 paper) and Childhood Cancer Survivors' Quality of Life (1 paper). Fukunaga collaborates with scholars based in Japan and United States. Fukunaga's co-authors include Yasuo Kawakami, Kubo, Kevin R. Short, Yamashita and Ryuji Kobayashi and has published in prestigious journals such as Immunology, IEEE Transactions on Computers and Histopathology.

In The Last Decade

Co-authorship network of co-authors of Fukunaga i

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Fields of papers citing papers by Fukunaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fukunaga

Since Specialization

Citations

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