Tung Tran
- Artificial Intelligence top 10%
- Molecular Biology
- Computational Theory and Mathematics
- Pharmacology
- Social Psychology
- Co-authors
- Ramakanth KavuluruAnthony RiosFilip GinterKai HakalaDebanjan MahataSaif M. MohammadFarrokh MehryaryGraciela Gonzalez‐Hernandez
- Topics
- Topic Modeling (6 papers)Biomedical Text Mining and Ontologies (5 papers)Electronic Health Records Systems (4 papers)
- Journals
- Journal of Fluid MechanicsJournal of the American Medical Informatics AssociationInternational Journal of Medical Informatics
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Tung Tran
12 papers receiving 237 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 133
- Molecular Biology 83
- Computational Theory and Mathematics 28
- Pharmacology 27
- Social Psychology 24
Countries citing papers authored by Tung Tran
This map shows the geographic impact of Tung Tran'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 Tung Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tung Tran more than expected).
Fields of papers citing papers by Tung Tran
This network shows the impact of papers produced by Tung Tran. 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 Tung Tran. The network helps show where Tung Tran may publish in the future.
Co-authorship network of co-authors of Tung Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Tung Tran. A scholar is included among the top collaborators of Tung Tran 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 Tung Tran. Tung Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 61 | |
| 6 | 15 | |
| 7 | 61 | |
| 8 | 40 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Development of HL7 V 2.5 Middleware for Patient Monitoring Device | 0 |
| 14 | 8 | |
| 15 | 5 |
About Tung Tran
Tung Tran is a scholar working on Health Information Management, Statistics, Probability and Uncertainty and Physical Therapy, Sports Therapy and Rehabilitation, having authored 15 papers that have together received 249 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Toxicology (19 citations), Health Informatics (7 citations) and Artificial Intelligence (133 citations). Tung Tran has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Ramakanth Kavuluru, Anthony Rios, Filip Ginter, Kai Hakala, Debanjan Mahata, Saif M. Mohammad, Farrokh Mehryary, Graciela Gonzalez‐Hernandez, Abeed Sarker and Goran Nenadić. Their work appears in journals such as Journal of Fluid Mechanics, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.
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.