Thin Nguyen
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
-
- Sentiment Analysis and Opinion Mining 26
- Topic Modeling 6
-
- Mental Health via Writing 25
- Co-authors
- Svetha Venkatesh (51 shared papers)Dinh Phung (35 shared papers)Tri Minh Nguyen (3 shared papers)Thomas P. Quinn (6 shared papers)Thuc Duy Le (7 shared papers)Hang Le (1 shared paper)Michael Berk (2 shared papers)Duc‐Hau Le (1 shared paper)
- Journals
- Knowledge and Information Systems (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)PLoS ONE (3 papers)Bioinformatics (2 papers)IEEE Transactions on Affective Computing (2 papers)
- Partner nations
- AustraliaVietnamUnited States
In The Last Decade
Thin Nguyen
80 papers receiving 1.9k citations
Thin Nguyen's Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 718
- Applied Psychology 158
- Social Psychology 372
- Artificial Intelligence 428
- Experimental and Cognitive Psychology 142
Countries citing papers authored by Thin Nguyen
This map shows the geographic impact of Thin Nguyen'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 Thin Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thin Nguyen more than expected).
Fields of papers citing papers by Thin Nguyen
This network shows the impact of papers produced by Thin Nguyen. 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 Thin Nguyen. The network helps show where Thin Nguyen may publish in the future.
Co-authors
The 25 scholars most cited alongside Thin Nguyen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GraphDTA: predicting drug–target binding affinity with graph neural networks Hit paper breakdown → | 2020 | 718 |
| 2 | 2014 | 176 | |
| 3 | 2017 | 146 | |
| 4 | 2021 | 115 | |
| 5 | 2015 | 60 | |
| 6 | 2021 | 55 | |
| 7 | 2016 | 52 | |
| 8 | 2017 | 30 | |
| 9 | 2012 | 28 | |
| 10 | 2021 | 26 | |
| 11 | 2015 | 24 | |
| 12 | 2017 | 22 | |
| 13 | 2013 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2014 | 20 | |
| 17 | 2010 | 20 | |
| 18 | 2013 | 18 | |
| 19 | 2011 | 16 | |
| 20 | 2015 | 15 |
About Thin Nguyen
Thin Nguyen is a scholar working on Artificial Intelligence, Social Psychology, Statistical and Nonlinear Physics, Epidemiology and Molecular Biology, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (26 papers), Mental Health via Writing (25 papers), Complex Network Analysis Techniques (18 papers), Data-Driven Disease Surveillance (7 papers), Mental Health Research Topics (7 papers), Topic Modeling (6 papers), Computational Drug Discovery Methods (6 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Computational Theory and Mathematics (718 citations), Applied Psychology (158 citations), Social Psychology (372 citations), Artificial Intelligence (428 citations) and Experimental and Cognitive Psychology (142 citations). Thin Nguyen has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Svetha Venkatesh, Dinh Phung, Tri Minh Nguyen, Thomas P. Quinn, Thuc Duy Le, Hang Le, Michael Berk, Duc‐Hau Le, Mark Larsen and Bridianne O’Dea. Their work appears in journals such as Knowledge and Information Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLoS ONE, Bioinformatics and IEEE Transactions on Affective Computing.
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.