Jun’ichi Kazama

25 papers and 369 indexed citations i.

About

Jun’ichi Kazama is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jun’ichi Kazama has authored 25 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Jun’ichi Kazama’s work include Topic Modeling (22 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (6 papers). Jun’ichi Kazama is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (20 papers) and Semantic Web and Ontologies (6 papers). Jun’ichi Kazama collaborates with scholars based in Japan, Singapore and China. Jun’ichi Kazama's co-authors include Jun’ichi Tsujii, Kentaro Torisawa, Takaki Makino, Yoshihiro Ohta, Wenliang Chen, Stijn De Saeger, Chikara Hashimoto, Yoshimasa Tsuruoka, Yiou Wang and Yujie Zhang and has published in prestigious journals such as Machine Learning, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Jun’ichi Kazama i

Fields of papers citing papers by Jun’ichi Kazama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun’ichi Kazama. 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 Jun’ichi Kazama. The network helps show where Jun’ichi Kazama may publish in the future.

Countries citing papers authored by Jun’ichi Kazama

Since Specialization
Citations

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