Yasuo Kudo

42 papers and 338 indexed citations i.

About

Yasuo Kudo is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yasuo Kudo has authored 42 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 22 papers in Artificial Intelligence and 19 papers in Information Systems. Recurrent topics in Yasuo Kudo’s work include Rough Sets and Fuzzy Logic (30 papers), Data Mining Algorithms and Applications (15 papers) and Semantic Web and Ontologies (8 papers). Yasuo Kudo is often cited by papers focused on Rough Sets and Fuzzy Logic (30 papers), Data Mining Algorithms and Applications (15 papers) and Semantic Web and Ontologies (8 papers). Yasuo Kudo collaborates with scholars based in Japan and China. Yasuo Kudo's co-authors include Tetsuya Murai, Hiroshi Fujikawa, Zhipeng Zhang, Ken Kaneiwa, T. Ito, Kaoru Ota, Hiroshi Zen‐Yōji, S. Sakai, Mianxiong Dong and Seiki Akama and has published in prestigious journals such as Applied and Environmental Microbiology, The Journal of Infectious Diseases and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yasuo Kudo i

Fields of papers citing papers by Yasuo Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yasuo Kudo

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025