Jay DeYoung

About

Jay DeYoung is a scholar working on Artificial Intelligence, Molecular Biology and Surgery. According to data from OpenAlex, Jay DeYoung has authored 13 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Jay DeYoung’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Jay DeYoung is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Jay DeYoung collaborates with scholars based in United States, Mexico and United Kingdom. Jay DeYoung's co-authors include Byron Wallace, Eric Lehman, Sarthak Jain, Caiming Xiong, Nazneen Fatema Rajani, Richard Socher, Regina Barzilay, Lucy Lu Wang, Bailey Kuehl and Iz Beltagy and has published in prestigious journals such as Neurology, Journal of the Optical Society of America and Journal of Hand Surgery (European Volume).

In The Last Decade

Co-authorship network of co-authors of Jay DeYoung i

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Fields of papers citing papers by Jay DeYoung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay DeYoung

Since Specialization

Citations

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