Sho Yokoi

12 papers and 136 indexed citations i.

About

Sho Yokoi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sho Yokoi has authored 12 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Sho Yokoi’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (3 papers). Sho Yokoi is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (3 papers). Sho Yokoi collaborates with scholars based in Japan and United Arab Emirates. Sho Yokoi's co-authors include Kentaro Inui, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki, Sosuke Kobayashi, Hiroki Ouchi, Reina Akama, Hisashi Kashima, Naoya Inoue and Ryo Takahashi and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

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

Fields of papers citing papers by Sho Yokoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sho Yokoi

Since Specialization
Citations

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