Yuki Arase

27 papers and 265 indexed citations i.

About

Yuki Arase is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yuki Arase has authored 27 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yuki Arase’s work include Natural Language Processing Techniques (18 papers), Topic Modeling (18 papers) and Multimodal Machine Learning Applications (6 papers). Yuki Arase is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (18 papers) and Multimodal Machine Learning Applications (6 papers). Yuki Arase collaborates with scholars based in Japan, China and United Kingdom. Yuki Arase's co-authors include Takahiro Hara, Xing Xie, Shojiro Nishio, Mayu Iwata, Jun’ichi Tsujii, Keisuke Sakaguchi, Mamoru Komachi, Chenhui Chu, Ryo Kato and Tomoyuki Kajiwara and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Co-authorship network of co-authors of Yuki Arase i

Fields of papers citing papers by Yuki Arase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuki Arase

Since Specialization
Citations

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