Thin Nguyen

3.1k total citations · 1 hit paper
65 papers, 1.6k citations indexed

About

Thin Nguyen is a scholar working on Artificial Intelligence, Social Psychology and Statistical and Nonlinear Physics. According to data from OpenAlex, Thin Nguyen has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Social Psychology and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Thin Nguyen's work include Sentiment Analysis and Opinion Mining (16 papers), Mental Health via Writing (16 papers) and Complex Network Analysis Techniques (15 papers). Thin Nguyen is often cited by papers focused on Sentiment Analysis and Opinion Mining (16 papers), Mental Health via Writing (16 papers) and Complex Network Analysis Techniques (15 papers). Thin Nguyen collaborates with scholars based in Australia, Vietnam and United States. Thin Nguyen's co-authors include Svetha Venkatesh, Dinh Phung, Tri Minh Nguyen, Thomas P. Quinn, Thuc Duy Le, Hang Le, Michael Berk, Duc‐Hau Le, Bridianne O’Dea and Helen Christensen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Thin Nguyen

61 papers receiving 1.5k citations

Hit Papers

GraphDTA: predicting drug–target binding affinity with gr... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thin Nguyen Australia 15 718 662 344 301 244 65 1.6k
Bo Xu China 18 297 0.4× 110 0.2× 473 1.4× 131 0.4× 40 0.2× 90 1.2k
Anthony Gitter United States 22 1.0k 1.4× 187 0.3× 106 0.3× 114 0.4× 57 0.2× 66 1.7k
Yaoyun Zhang United States 23 616 0.9× 65 0.1× 936 2.7× 138 0.5× 123 0.5× 94 1.7k
Yu Shi United States 17 781 1.1× 178 0.3× 209 0.6× 109 0.4× 55 0.2× 49 1.5k
Ramakanth Kavuluru United States 21 443 0.6× 67 0.1× 803 2.3× 187 0.6× 8 0.0× 72 1.4k
Igor Zwir United States 23 474 0.7× 96 0.1× 185 0.5× 115 0.4× 16 0.1× 51 1.5k
Jay I. Myung United States 18 52 0.1× 146 0.2× 314 0.9× 45 0.1× 58 0.2× 41 1.0k
Amarda Shehu United States 25 1.9k 2.6× 297 0.4× 140 0.4× 24 0.1× 543 2.2× 149 2.3k
Yuchen Li China 22 108 0.2× 69 0.1× 679 2.0× 36 0.1× 34 0.1× 137 1.9k

Countries citing papers authored by Thin Nguyen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thin Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Thin Nguyen. A scholar is included among the top collaborators of Thin Nguyen 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 Thin Nguyen. Thin Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xiaomei, Junpeng Zhang, Marnie Winter, et al.. (2025). Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID. Critical Reviews in Clinical Laboratory Sciences. 1–27.
2.
Nguyen, Phuoc, Truyen Tran, Sunil Gupta, Thin Nguyen, & Svetha Venkatesh. (2024). Root Cause Explanation of Outliers under Noisy Mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20508–20515.
3.
Nguyen, Toan, et al.. (2024). Class-incremental learning with causal relational replay. Expert Systems with Applications. 250. 123901–123901. 10 indexed citations
4.
Nguyen, Dang, Sunil Gupta, Kien Do, Thin Nguyen, & Svetha Venkatesh. (2024). Generating Realistic Tabular Data with Large Language Models. 330–339. 2 indexed citations
5.
Senadeera, Manisha, Toan Nguyen, Melanie Nichols, et al.. (2024). Utilising causal inference methods to estimate effects and strategise interventions in observational health data. PLoS ONE. 19(12). e0314761–e0314761. 2 indexed citations
6.
Nguyen, Toan, et al.. (2023). Causal Inference via Style Transfer for Out-of-distribution Generalisation. 1746–1757. 3 indexed citations
7.
Nguyen, Phuoc, et al.. (2023). Differentiable Bayesian Structure Learning with Acyclicity Assurance. 1 indexed citations
8.
Nguyen, Thin, et al.. (2022). Learning to discover medicines. International Journal of Data Science and Analytics. 16(3). 301–316. 1 indexed citations
9.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2021). pDriver : a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinformatics. 37(19). 3285–3292. 9 indexed citations
10.
O’Dea, Bridianne, Tjeerd W. Boonstra, Mark Larsen, et al.. (2021). The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study. PLoS ONE. 16(5). e0251787–e0251787. 24 indexed citations
11.
Nguyen, Thin, et al.. (2021). Graph Convolutional Networks for Drug Response Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 146–154. 107 indexed citations
12.
Nguyen, Thanh Thi, Pubudu N. Pathirana, Thin Nguyen, et al.. (2021). Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus). Scientific Reports. 11(1). 3487–3487. 52 indexed citations
13.
Nguyen, Thin, Hang Le, Thomas P. Quinn, et al.. (2020). GraphDTA: predicting drug–target binding affinity with graph neural networks. Bioinformatics. 37(8). 1140–1147. 629 indexed citations breakdown →
14.
Pham, Vu, Xiaomei Li, Buu Truong, et al.. (2020). The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings in Bioinformatics. 22(3). 11 indexed citations
15.
Nguyen, Hung Son, Thin Nguyen, & Duc Thanh Nguyen. (2020). A graph-based approach for population health analysis using Geo-tagged tweets. Multimedia Tools and Applications. 80(5). 7187–7204. 1 indexed citations
16.
Do, Kien, Truyen Tran, Thin Nguyen, & Svetha Venkatesh. (2019). Attentional multilabel learning over graphs: a message passing approach. Machine Learning. 108(10). 1757–1781. 13 indexed citations
17.
Nguyen, Hung Son, Thin Nguyen, & Duc Thanh Nguyen. (2019). An empirical study on prediction of population health through social media. Journal of Biomedical Informatics. 99. 103277–103277. 4 indexed citations
18.
Quinn, Thomas P., Thin Nguyen, Sam Lee, & Svetha Venkatesh. (2019). Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data. Frontiers in Genetics. 10. 599–599. 8 indexed citations
19.
Luo, Wei, Thin Nguyen, Melanie Nichols, et al.. (2015). Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset. PLoS ONE. 10(5). e0125602–e0125602. 20 indexed citations
20.
Nguyen, Thin. (2010). Mood Patterns and Affective Lexicon Access in Weblogs. Deakin Research Online (Deakin University). 43–48. 9 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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