Yasuo Kudo

753 total citations
54 papers, 409 citations indexed

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 54 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 30 papers in Artificial Intelligence and 25 papers in Information Systems. Recurrent topics in Yasuo Kudo's work include Rough Sets and Fuzzy Logic (39 papers), Data Mining Algorithms and Applications (21 papers) and Semantic Web and Ontologies (11 papers). Yasuo Kudo is often cited by papers focused on Rough Sets and Fuzzy Logic (39 papers), Data Mining Algorithms and Applications (21 papers) and Semantic Web and Ontologies (11 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, Kaoru Ota, Mianxiong Dong, Seiki Akama, T. Ito, S. Sakai and Hiroshi Zen‐Yōji and has published in prestigious journals such as Applied and Environmental Microbiology, The Journal of Infectious Diseases and IEEE Access.

In The Last Decade

Yasuo Kudo

48 papers receiving 369 citations

Peers

Yasuo Kudo

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Zhenkun Shi China

María Teresa Gómez-López Spain

Meshari Alazmi Saudi Arabia

Dehao Chen China

Anand Prem Rajan United States

Sabita Khatri Nepal

Jianan Zhao China

Philip J. Hatcher United States

Jialin Liu United States

Tobias Petri Germany

Zhenkun Shi China

Yasuo Kudo

69 ×0.4

113 ×0.9

48 ×0.5

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Citations per year, relative to Yasuo Kudo Yasuo Kudo (= 1×) peers Zhenkun Shi

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).

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.

Co-authorship network of co-authors of Yasuo Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Kudo. A scholar is included among the top collaborators of Yasuo Kudo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuo Kudo. Yasuo Kudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Zhipeng, Mianxiong Dong, Kaoru Ota, Yao Zhang, & Yasuo Kudo. (2021). Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation. IEEE Transactions on Services Computing. 15(6). 3156–3169. 12 indexed citations

Zhang, Zhipeng, Mianxiong Dong, Kaoru Ota, & Yasuo Kudo. (2020). Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network. IEEE Transactions on Computational Social Systems. 7(3). 672–685. 26 indexed citations

Zhang, Zhipeng, et al.. (2019). Addressing Complete New Item Cold-Start Recommendation: A Niche Item-Based Collaborative Filtering via Interrelationship Mining. Applied Sciences. 9(9). 1894–1894. 10 indexed citations

Zhang, Zhipeng, et al.. (2019). Enhancing Recommendation Accuracy of Item-Based Collaborative Filtering via Item-Variance Weighting. Applied Sciences. 9(9). 1928–1928. 17 indexed citations

Akama, Seiki, Tetsuya Murai, & Yasuo Kudo. (2017). Reasoning with Rough Sets. Intelligent systems reference library. 3 indexed citations

Murai, Tetsuya, et al.. (2014). Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid. Journal of Advanced Computational Intelligence and Intelligent Informatics. 18(6). 929–936. 5 indexed citations

Kudo, Yasuo & Tetsuya Murai. (2013). A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables. Journal of Advanced Computational Intelligence and Intelligent Informatics. 17(3). 371–376.

Kaneiwa, Ken & Yasuo Kudo. (2011). A sequential pattern mining algorithm using rough set theory. International Journal of Approximate Reasoning. 52(6). 881–893. 47 indexed citations

Kudo, Yasuo, et al.. (2011). A heuristic method for discovering biomarker candidates based on rough set theory. Bioinformation. 6(5). 200–203. 2 indexed citations

10.

Kudo, Yasuo & Tetsuya Murai. (2011). Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(1). 102–109. 3 indexed citations

11.

Kaneiwa, Ken & Yasuo Kudo. (2010). Local Pattern Mining from Sequences Using Rough Set Theory. 247–252. 1 indexed citations

12.

Kudo, Yasuo, Tetsuya Murai, & Seiki Akama. (2009). A granularity-based framework of deduction, induction, and abduction. International Journal of Approximate Reasoning. 50(8). 1215–1226. 10 indexed citations

13.

Nomura, Shusaku & Yasuo Kudo. (2009). An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the RelationBetween Psychological Scale and Immunological Biomarker. Journal of Advanced Computational Intelligence and Intelligent Informatics. 13(4). 352–359. 2 indexed citations

14.

Kudo, Yasuo & Tetsuya Murai. (2009). A Modal Characterization of Visibility and Focus in Granular Reasoning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 13(3). 297–303. 1 indexed citations

15.

Kudo, Yasuo & Tetsuya Murai. (2008). A Modal Characterization of Granular Reasoning Based on Scott - Montague Models. 2008. 991–995. 1 indexed citations

16.

Miyamoto, Sadaaki, Tetsuya Murai, & Yasuo Kudo. (2006). A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(5). 625–632.

17.

Kudo, Yasuo & Tetsuya Murai. (2006). A Theoretical Formulation of Object-Oriented Rough Set Models. Journal of Advanced Computational Intelligence and Intelligent Informatics. 10(5). 612–620. 2 indexed citations

18.

Kudo, Yasuo. (2006). A Note on Granular Reasoning and Semantics of Four-Valued Logics. AIP conference proceedings. 839. 453–460. 2 indexed citations

19.

Fujikawa, Hiroshi, et al.. (1992). Kinetics of Escherichia coli destruction by microwave irradiation. Applied and Environmental Microbiology. 58(3). 920–924. 88 indexed citations

20.

Zen‐Yōji, Hiroshi, et al.. (1965). Epidemiology, Enteropathogenicity, and Classification of Vibrio parahaemolyticus. The Journal of Infectious Diseases. 115(5). 436–444. 48 indexed citations

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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