Trieu H. Trinh

About

Trieu H. Trinh is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Trieu H. Trinh has authored 4 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Trieu H. Trinh’s work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and COVID-19 diagnosis using AI (1 paper). Trieu H. Trinh is often cited by papers focused on Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and COVID-19 diagnosis using AI (1 paper). Trieu H. Trinh collaborates with scholars based in United States. Trieu H. Trinh's co-authors include Thang Luong, Quoc V. Le, Yuhuai Wu, He He, Andrew M. Dai, Hieu Tran, Hieu Pham Trung Nguyen, Long Phan, Minh-Thang Luong and Vy Phan and has published in prestigious journals such as Nature, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Trieu H. Trinh i

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Fields of papers citing papers by Trieu H. Trinh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trieu H. Trinh. 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 Trieu H. Trinh. The network helps show where Trieu H. Trinh may publish in the future.

Countries citing papers authored by Trieu H. Trinh

Since Specialization

Citations

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