Viet-An Nguyen

1.4k total citations · 1 hit paper
18 papers, 907 citations indexed

About

Viet-An Nguyen is a scholar working on Artificial Intelligence, General Social Sciences and Statistical and Nonlinear Physics. According to data from OpenAlex, Viet-An Nguyen has authored 18 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in General Social Sciences and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Viet-An Nguyen's work include Topic Modeling (6 papers), Computational and Text Analysis Methods (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Viet-An Nguyen is often cited by papers focused on Topic Modeling (6 papers), Computational and Text Analysis Methods (6 papers) and Sentiment Analysis and Opinion Mining (3 papers). Viet-An Nguyen collaborates with scholars based in United States, Singapore and Australia. Viet-An Nguyen's co-authors include Ee‐Peng Lim, Nitin Jindal, Bing Liu, Hady W. Lauw, Jordan Boyd‐Graber, Philip Resnik, Leonardo Claudino, William W. Armstrong, Aixin Sun and Jing Jiang and has published in prestigious journals such as Machine Learning, Journal of Computational Biology and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Viet-An Nguyen

18 papers receiving 847 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detecting product review spammers using rating behaviors

2010 472 citations Ee‐Peng Lim, Viet-An Nguyen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viet-An Nguyen United States	11	591	485	253	139	117	18	907
Megan Squire United States	9	323 0.5×	206 0.4×	206 0.8×	28 0.2×	70 0.6×	31	722
Naeemul Hassan United States	16	406 0.7×	273 0.6×	475 1.9×	67 0.5×	20 0.2×	37	836
Giancarlo Ruffo Italy	18	397 0.7×	283 0.6×	333 1.3×	202 1.5×	36 0.3×	70	982
Aqil M. Azmi Saudi Arabia	22	863 1.5×	235 0.5×	188 0.7×	22 0.2×	35 0.3×	61	1.1k
Patricio Martínez-Barco Spain	19	834 1.4×	186 0.4×	179 0.7×	38 0.3×	49 0.4×	93	1.0k
Francesca Spezzano United States	14	419 0.7×	179 0.4×	221 0.9×	164 1.2×	43 0.4×	63	733
Tomek Strzalkowski United States	20	1.4k 2.3×	347 0.7×	79 0.3×	47 0.3×	48 0.4×	117	1.6k
Despoina Chatzakou Greece	13	770 1.3×	241 0.5×	162 0.6×	52 0.4×	243 2.1×	25	983
David Andrzejewski United States	8	710 1.2×	233 0.5×	89 0.4×	30 0.2×	28 0.2×	11	981
Monojit Choudhury India	22	1.3k 2.1×	195 0.4×	54 0.2×	50 0.4×	42 0.4×	130	1.6k

Countries citing papers authored by Viet-An Nguyen

Since Specialization

Citations

This map shows the geographic impact of Viet-An 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 Viet-An Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet-An Nguyen more than expected).

Fields of papers citing papers by Viet-An Nguyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viet-An 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 Viet-An Nguyen. The network helps show where Viet-An Nguyen may publish in the future.

Co-authorship network of co-authors of Viet-An Nguyen

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Meir, Reshef, et al.. (2024). Efficient Online Crowdsourcing with Complex Annotations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10119–10127. 1 indexed citations

Nguyen, Viet-An, et al.. (2022). Crowdsourcing with Contextual Uncertainty. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 68. 3645–3655. 3 indexed citations

Nguyen, Viet-An, et al.. (2020). CLARA. 2542–2552. 5 indexed citations

Resnik, Philip, et al.. (2015). Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter. 99–107. 130 indexed citations

Nguyen, Viet-An, Jordan Boyd‐Graber, Philip Resnik, & Kristina C. Miler. (2015). Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress. 1438–1448. 35 indexed citations

Nguyen, Viet-An, Jordan Boyd‐Graber, Philip Resnik, & Jonathan Chang. (2014). Learning a Concept Hierarchy from Multi-labeled Documents. Neural Information Processing Systems. 27. 3671–3679. 6 indexed citations

Nguyen, Viet-An, Jordan Boyd‐Graber, & Philip Resnik. (2014). Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling. 1752–1757. 8 indexed citations

Nguyen, Viet-An, Jordan Boyd‐Graber, & Stephen F. Altschul. (2013). Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space. Journal of Computational Biology. 20(1). 1–18. 25 indexed citations

Nguyen, Viet-An, Yuening Hu, Jordan Boyd‐Graber, & Philip Resnik. (2013). Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations. North American Chapter of the Association for Computational Linguistics. 36–39. 5 indexed citations

10.

Nguyen, Viet-An, Jordan Boyd‐Graber, & Philip Resnik. (2013). Lexical and Hierarchical Topic Regression. Neural Information Processing Systems. 26. 1106–1114. 39 indexed citations

11.

Nguyen, Viet-An, et al.. (2013). Modeling topic control to detect influence in conversations using nonparametric topic models. Machine Learning. 95(3). 381–421. 36 indexed citations

12.

Nguyen, Viet-An, Jordan Boyd‐Graber, & Philip Resnik. (2012). SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations. 78–87. 25 indexed citations

13.

Khurana, Udayan, et al.. (2011). Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. 549–554. 13 indexed citations

14.

Lim, Ee‐Peng, Viet-An Nguyen, Nitin Jindal, Bing Liu, & Hady W. Lauw. (2010). Detecting product review spammers using rating behaviors. 939–948. 472 indexed citations breakdown →

15.

Nguyen, Viet-An, Ee‐Peng Lim, Hwee Hoon Tan, Jing Jiang, & Aixin Sun. (2010). Do You Trust to Get Trust? A Study of Trust Reciprocity Behaviors and Reciprocal Trust Prediction. 72–83. 19 indexed citations

16.

On, Byung-Won, et al.. (2010). Messaging Behavior Modeling in Mobile Social Networks. 3. 425–430. 6 indexed citations

17.

Nguyen, Viet-An, Ee‐Peng Lim, Jing Jiang, & Aixin Sun. (2009). To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework. 896–901. 37 indexed citations

18.

Lim, Ee‐Peng, et al.. (2009). Trust relationship prediction using online product review data. 47–54. 42 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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