VinUniversity

962 papers and 7.8k indexed citations

About

In recent decades, authors affiliated with VinUniversity have published 962 papers, which have received a total of 7.8k indexed citations. Scholars at this organization have produced 154 papers in Artificial Intelligence, 107 papers in Computer Vision and Pattern Recognition and 81 papers in Public Health, Environmental and Occupational Health on the topics of Topic Modeling (55 papers), Natural Language Processing Techniques (31 papers) and Advancements in Battery Materials (23 papers). Their work is cited by papers focused on Artificial Intelligence (1.4k citations), Biomedical Engineering (884 citations) and Computer Vision and Pattern Recognition (851 citations). Authors at VinUniversity collaborate with scholars in Vietnam, United States and Australia and have published in prestigious journals including Proceedings of the National Academy of Sciences, Advanced Materials and Nature Medicine. Some of VinUniversity's most productive authors include Truong Do, Phuong Tran, Sachini Wickramasinghe, Dung Le, Thien Huu Nguyen, Kyunghwa Chung, Giang T. Phi, Van‐Dinh Nguyen, Binh‐Son Hua and Ha Kyung Lee.

In The Last Decade

VinUniversity

739 papers receiving 7.6k citations

Countries citing scholars working at VinUniversity

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at VinUniversity. 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 papers produced at VinUniversity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites VinUniversity more than expected).

Fields of papers published by authors at VinUniversity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with VinUniversity at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with VinUniversity at the time of their publication.

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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2026