Thai Le

1.2k total citations · 1 hit paper
29 papers, 682 citations indexed

About

Thai Le is a scholar working on Artificial Intelligence, Sociology and Political Science and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Thai Le has authored 29 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 3 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Thai Le's work include Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers) and Hate Speech and Cyberbullying Detection (6 papers). Thai Le is often cited by papers focused on Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers) and Hate Speech and Cyberbullying Detection (6 papers). Thai Le collaborates with scholars based in United States, South Korea and France. Thai Le's co-authors include Dongwon Lee, S. Shyam Sundar, María D. Molina, Suhang Wang, Kai Shu, Huan Liu, Jooyoung Lee, Eric Too, Noseong Park and Ron Wakefield and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Communication Research.

In The Last Decade

Thai Le

25 papers receiving 655 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.

“Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content

2019 270 citations María D. Molina, S. Shyam Sundar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thai Le United States	13	347	332	143	119	49	29	682
Filipe Nunes Ribeiro Brazil	9	236 0.7×	247 0.7×	75 0.5×	89 0.7×	12 0.2×	24	552
Eduardo Graells-Garrido Chile	12	124 0.4×	97 0.3×	48 0.3×	117 1.0×	11 0.2×	34	416
Thomas Lansdall-Welfare United Kingdom	11	147 0.4×	174 0.5×	53 0.4×	95 0.8×	30 0.6×	21	536
Yixuan Zhang China	13	131 0.4×	247 0.7×	91 0.6×	26 0.2×	37 0.8×	62	703
Afra Mashhadi United States	13	101 0.3×	74 0.2×	72 0.5×	45 0.4×	28 0.6×	48	538
Leo Ferres Chile	12	108 0.3×	90 0.3×	49 0.3×	35 0.3×	18 0.4×	38	601
Marisa Vasconcelos Brazil	13	322 0.9×	199 0.6×	139 1.0×	164 1.4×	39 0.8×	40	622
Matheus Araújo United States	9	210 0.6×	355 1.1×	101 0.7×	60 0.5×	14 0.3×	29	632
Patrick Bernard Washington United States	9	105 0.3×	293 0.9×	114 0.8×	18 0.2×	13 0.3×	11	467

Countries citing papers authored by Thai Le

Since Specialization

Citations

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

Fields of papers citing papers by Thai Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thai Le. 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 Thai Le. The network helps show where Thai Le may publish in the future.

Co-authorship network of co-authors of Thai Le

This figure shows the co-authorship network connecting the top 25 collaborators of Thai Le. A scholar is included among the top collaborators of Thai Le 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 Thai Le. Thai Le 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:

20 of 20 papers shown

1.

Le, Thai, et al.. (2024). Benchmarking Machine Learning Techniques for Bankruptcy Prediction under Benign and Adversarial Behaviors. 259–265. 1 indexed citations

2.

Le, Thai, et al.. (2023). HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis. CINECA IRIS Institutial research information system (University of Pisa). 13706–13724. 3 indexed citations

3.

Lee, Jooyoung, Thai Le, Jinghui Chen, & Dongwon Lee. (2023). Do Language Models Plagiarize?. Zenodo (CERN European Organization for Nuclear Research). 3637–3647. 23 indexed citations

4.

Le, Thai, et al.. (2023). On additive bases in infinite abelian semigroups. arXiv (Cornell University). 7(1). 1–44.

5.

Le, Thai, et al.. (2023). A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Autonomous Agents and Multi-Agent Systems. 37(2).

6.

Lee, Jooyoung, et al.. (2023). Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 163–174. 14 indexed citations

7.

Le, Thai, et al.. (2023). Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective. ACM SIGKDD Explorations Newsletter. 25(1). 1–18. 16 indexed citations

8.

Le, Thai, et al.. (2022). Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. Proceedings of the ACM Web Conference 2022. 545–554. 7 indexed citations

9.

Le, Thai, et al.. (2022). Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. Findings of the Association for Computational Linguistics: ACL 2022. 2953–2965. 8 indexed citations

10.

Molina, María D., et al.. (2022). Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement. Communication Research. 50(6). 667–694. 19 indexed citations

11.

Le, Thai, Noseong Park, & Dongwon Lee. (2021). A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks. 13 indexed citations

12.

Molina, María D., et al.. (2021). Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. ScholarSphere (Penn State Libraries). 1–19. 17 indexed citations

13.

Le, Thai, Suhang Wang, & Dongwon Lee. (2020). MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. 282–291. 34 indexed citations

14.

Le, Thai, et al.. (2020). Authorship Attribution for Neural Text Generation. 8384–8395. 69 indexed citations

15.

Le, Thai, Suhang Wang, & Dongwon Lee. (2020). GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction. 238–248. 31 indexed citations

16.

Zhang, Jiasheng, et al.. (2019). PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond. 1122–1125. 2 indexed citations

17.

Hansen, Seng, Eric Too, & Thai Le. (2018). Retrospective look on front-end planning in the construction industry: Aliterature review of 30 years of research. SHILAP Revista de lepidopterología. 8(1). 19–42. 8 indexed citations

18.

Le, Thai, et al.. (2018). Van der Corput sets with respect to compact groups. Archiv der Mathematik. 110(4). 343–349.

19.

Bhowmick, Abhishek, et al.. (2017). A note on character sums in finite fields. Finite Fields and Their Applications. 46. 247–254. 5 indexed citations

20.

Jimison, Holly, Misha Pavel, & Thai Le. (2008). Home-based cognitive monitoring using embedded measures of verbal fluency in a computer word game. PubMed. 2008. 3312–3315. 15 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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