Jay DeYoung
- Co-authors
- Lucy Lu WangBailey KuehlMadeleine van ZuylenIz BeltagyLeon DureFrederick J. MarshallJennifer M. KwonHeather Adams
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (8 papers)Biomedical Text Mining and Ontologies (4 papers)
- Journals
- NeurologyJournal of the American Academy of Orthopaedic SurgeonsJournal of the Optical Society of America
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
Jay DeYoung
11 papers receiving 176 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 95
- Physiology 63
- Molecular Biology 54
- Cell Biology 29
- Rheumatology 24
Countries citing papers authored by Jay DeYoung
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).
Fields of papers citing papers by Jay DeYoung
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.
Co-authorship network of co-authors of Jay DeYoung
This figure shows the co-authorship network connecting the top 25 collaborators of Jay DeYoung. A scholar is included among the top collaborators of Jay DeYoung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay DeYoung. Jay DeYoung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 47 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | PARMA: A Predicate Argument Aligner | 9 |
| 12 | 1 | |
| 13 | 76 | |
| 14 | 7 |
About Jay DeYoung
Jay DeYoung is a scholar working on Structural Biology, Artificial Intelligence and History and Philosophy of Science, having authored 14 papers that have together received 187 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (95 citations) and Physiology (63 citations). Jay DeYoung has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Lucy Lu Wang, Bailey Kuehl, Madeleine van Zuylen, Iz Beltagy, Leon Dure, Frederick J. Marshall, Jennifer M. Kwon, Heather Adams, Susan Messing and David A. Pearce. Their work appears in journals such as Neurology, Journal of the American Academy of Orthopaedic Surgeons and Journal of the Optical Society of America.
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.