Yasumasa Onoe

11 papers and 140 indexed citations i.

About

Yasumasa Onoe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yasumasa Onoe has authored 11 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Yasumasa Onoe’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (4 papers). Yasumasa Onoe is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (4 papers). Yasumasa Onoe collaborates with scholars based in United States, Mexico and Japan. Yasumasa Onoe's co-authors include Greg Durrett, Andrew McCallum, Michael Zhang, Eunsol Choi, Sarah Laszlo, Peter J. Anderson, Jordi Pont-Tuset, Su Wang, Radu Soricut and Jason Baldridge and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yasumasa Onoe i

Fields of papers citing papers by Yasumasa Onoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yasumasa Onoe

Since Specialization
Citations

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