Tung Tran

14 papers and 202 indexed citations i.

About

Tung Tran is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Tung Tran has authored 14 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Tung Tran’s work include Topic Modeling (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Mental Health via Writing (2 papers). Tung Tran is often cited by papers focused on Topic Modeling (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Mental Health via Writing (2 papers). Tung Tran collaborates with scholars based in United States, South Korea and United Kingdom. Tung Tran's co-authors include Ramakanth Kavuluru, Anthony Rios, Halil Kilicoglu, Svetlana Kiritchenko, Sifei Han, Graciela Gonzalez‐Hernandez, Goran Nenadić, Filip Ginter, Berry de Bruijn and Kai Hakala and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Tung Tran i

Fields of papers citing papers by Tung Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tung Tran

Since Specialization
Citations

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).

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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2025