Atsushi Fujita

38 papers and 220 indexed citations i.

About

Atsushi Fujita is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Atsushi Fujita has authored 38 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Atsushi Fujita’s work include Natural Language Processing Techniques (30 papers), Topic Modeling (28 papers) and Multimodal Machine Learning Applications (7 papers). Atsushi Fujita is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (28 papers) and Multimodal Machine Learning Applications (7 papers). Atsushi Fujita collaborates with scholars based in Japan, Canada and United States. Atsushi Fujita's co-authors include Benjamin Marie, Raj Dabre, Kentaro Inui, Ryu Iida, Raphaël Rubino, Eiichiro Sumita, Satoshi Sato, Roland Kühn, Pierre Isabelle and Michio Inagaki and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics and IEEJ Transactions on Industry Applications.

In The Last Decade

Co-authorship network of co-authors of Atsushi Fujita i

Fields of papers citing papers by Atsushi Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Atsushi Fujita

Since Specialization
Citations

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