Tae Yano

About

Tae Yano is a scholar working on Artificial Intelligence, General Social Sciences and Information Systems. According to data from OpenAlex, Tae Yano has authored 7 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in General Social Sciences and 2 papers in Information Systems. Recurrent topics in Tae Yano’s work include Topic Modeling (5 papers), Computational and Text Analysis Methods (3 papers) and Natural Language Processing Techniques (2 papers). Tae Yano is often cited by papers focused on Topic Modeling (5 papers), Computational and Text Analysis Methods (3 papers) and Natural Language Processing Techniques (2 papers). Tae Yano collaborates with scholars based in United States. Tae Yano's co-authors include Noah A. Smith, John Wilkerson, Michael Gamon, Patrick Pantel, Xinying Song, Johnson Apacible, Dani Yogatama, Eric P. Xing, Jacob Eisenstein and Rebecca J. Passonneau and has published in prestigious journals such as Language Resources and Evaluation, CiteSeer X (The Pennsylvania State University) and Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Tae Yano i

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Fields of papers citing papers by Tae Yano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tae Yano

Since Specialization

Citations

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