Sho Takase

About

Sho Takase is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sho Takase has authored 25 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sho Takase’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (6 papers). Sho Takase is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (6 papers). Sho Takase collaborates with scholars based in Japan and United States. Sho Takase's co-authors include Naoaki Okazaki, Jun Suzuki, Masaaki Nagata, Shun Kiyono, Tsutomu Hirao, Kentaro Inui, Atsushi Keyaki, Masahiro Kaneko, Masahiro Kaneko and Sosuke Kobayashi and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Language Resources and Evaluation and ACM Transactions on Asian and Low-Resource Language Information Processing.

In The Last Decade

Co-authorship network of co-authors of Sho Takase i

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Fields of papers citing papers by Sho Takase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sho Takase

Since Specialization

Citations

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