Naoto Usuyama

11 papers and 835 indexed citations i.

About

Naoto Usuyama is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naoto Usuyama has authored 11 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naoto Usuyama’s work include Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Natural Language Processing Techniques (3 papers). Naoto Usuyama is often cited by papers focused on Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Natural Language Processing Techniques (3 papers). Naoto Usuyama collaborates with scholars based in United States, United Kingdom and Japan. Naoto Usuyama's co-authors include Hoifung Poon, Tristan Naumann, 裕二 池谷, Robert Tinn, Hao Cheng, Jianfeng Gao, Michael Lucas, Xiaodong Liu, Xiaodong Liu and Amanda K. Hall and has published in prestigious journals such as Bioinformatics, Nature Methods and npj Digital Medicine.

In The Last Decade

Co-authorship network of co-authors of Naoto Usuyama i

Fields of papers citing papers by Naoto Usuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naoto Usuyama

Since Specialization
Citations

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