Yasuo Kudo

160 total papers · 751 total citations
54 papers, 407 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 407 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, Mianxiong Dong, Seiki Akama, Kaoru Ota, Hiroshi Zen‐Yōji, S. Sakai and T. Ito 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 366 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yasuo Kudo	159	122	94	49	43	54	407
María Teresa Gómez-López	189 1.2×	107 0.9×	8 0.1×	18 0.4×	31 0.7×	67	401
Junghyun Lee	69 0.4×	183 1.5×	15 0.2×	112 2.3×	8 0.2×	23	452
Jia Lv	26 0.2×	100 0.8×	13 0.1×	8 0.2×	16 0.4×	54	490
Jianan Zhao	117 0.7×	297 2.4×	7 0.1×	17 0.3×	4 0.1×	23	451
Hailong Zhang	121 0.8×	128 1.0×	5 0.1×	8 0.2×	14 0.3×	53	489
Shenyuan Xu	43 0.3×	28 0.2×	9 0.1×	8 0.2×	34 0.8×	29	418
Dehao Chen	168 1.1×	81 0.7×	22 0.2×	6 0.1×	4 0.1×	24	473
Blaž Škrlj	63 0.4×	175 1.4×	70 0.7×	1 0.0×	16 0.4×	40	388
Greg Butler	121 0.8×	157 1.3×	6 0.1×	2 0.0×	28 0.7×	39	456
Henning Christiansen	49 0.3×	166 1.4×	29 0.3×		10 0.2×	66	375

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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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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