Tung Tran

554 total citations
15 papers, 249 citations indexed

About

Tung Tran is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Tung Tran has authored 15 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Tung Tran's work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (4 papers). Tung Tran is often cited by papers focused on Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Electronic Health Records Systems (4 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, Graciela Gonzalez‐Hernandez, Filip Ginter, Farrokh Mehryary, Berry de Bruijn, Sifei Han, Kai Hakala, Saif M. Mohammad and Maksim Belousov 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

Tung Tran

12 papers receiving 237 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tung Tran United States 8 133 83 28 27 24 15 249
Ehtesham Iqbal United Kingdom 9 93 0.7× 85 1.0× 53 1.9× 18 0.7× 13 0.5× 14 309
Cyril Grouin France 13 321 2.4× 239 2.9× 10 0.4× 7 0.3× 28 1.2× 49 488
Serena Jeblee Canada 7 187 1.4× 69 0.8× 17 0.6× 4 0.1× 14 0.6× 12 280
Matthew Wiley United States 9 67 0.5× 29 0.3× 6 0.2× 6 0.2× 18 0.8× 15 342
Mason Marks United States 10 116 0.9× 22 0.3× 3 0.1× 19 0.7× 24 1.0× 21 519
Cédrick Fairon Belgium 9 345 2.6× 76 0.9× 14 0.5× 4 0.1× 3 0.1× 52 465
Yassine Mrabet United States 10 232 1.7× 126 1.5× 31 1.1× 3 0.1× 6 0.3× 19 319
Shubo Tian United States 9 171 1.3× 95 1.1× 13 0.5× 3 0.1× 7 0.3× 19 356
Sofia Triantafillou Greece 7 87 0.7× 27 0.3× 18 0.6× 2 0.1× 11 0.5× 12 249
Dongfang Xu United States 9 158 1.2× 90 1.1× 4 0.1× 54 2.3× 19 225

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).

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.

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

15 of 15 papers shown
1.
Tran, Tung, et al.. (2020). Identifying current Juul users among emerging adults through Twitter feeds. International Journal of Medical Informatics. 146. 104350–104350. 1 indexed citations
2.
Tran, Tung & Ramakanth Kavuluru. (2020). Social media surveillance for perceived therapeutic effects of cannabidiol (CBD) products. International Journal of Drug Policy. 77. 102688–102688. 24 indexed citations
3.
Kilicoglu, Halil, et al.. (2019). Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications. Journal of Biomedical Informatics. 91. 103123–103123. 19 indexed citations
4.
Tran, Tung, et al.. (2019). Distant supervision for treatment relation extraction by leveraging MeSH subheadings. Artificial Intelligence in Medicine. 98. 18–26. 12 indexed citations
5.
Sarker, Abeed, Maksim Belousov, Kai Hakala, et al.. (2018). Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. Journal of the American Medical Informatics Association. 25(10). 1274–1283. 61 indexed citations
6.
Tran, Tung & Ramakanth Kavuluru. (2018). An end-to-end deep learning architecture for extracting protein–protein interactions affected by genetic mutations. Database. 2018. 1–13. 15 indexed citations
7.
Tran, Tung & Ramakanth Kavuluru. (2017). Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks. Journal of Biomedical Informatics. 75. S138–S148. 61 indexed citations
8.
Kavuluru, Ramakanth, Anthony Rios, & Tung Tran. (2017). Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. PubMed. 2017. 5–12. 40 indexed citations
9.
Staat, Hendrik J. J., Tung Tran, Guillaume Riboux, et al.. (2015). FLM volume 779 Cover and Front matter. Journal of Fluid Mechanics. 779. f1–f4. 1 indexed citations
10.
Kim, Hyung Hoi, et al.. (2010). An Improved Auto-Generation System to Obtain Reference Intervals for Laboratory Medicine. Healthcare Informatics Research. 16(1). 15–15.
11.
Lee, Eunjoo, et al.. (2008). Fall Risk Nursing Assessment according to the International Classification of Functioning, Disability, and Health. Journal of Korean Society of Medical Informatics. 14(1). 55–55. 1 indexed citations
12.
Tran, Tung, et al.. (2008). A Development of Prototype Personal Health Record System based on Continuity of Care Document. Journal of Korean Society of Medical Informatics. 14(3). 245–245. 1 indexed citations
13.
Kim, Hyung Hoi, et al.. (2007). Development of HL7 V 2.5 Middleware for Patient Monitoring Device. The Transactions of The Korean Institute of Electrical Engineers. 56(9). 1680–1687.
14.
Tran, Tung, et al.. (2007). A Development of HL7 Middleware for Medical Device Communication. 8 indexed citations

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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