Thai Le
Impact in
- Health Informatics top 5%
- Communication top 5%
- Social Media and Politics
Papers in
-
- Topic Modeling 8
- Hate Speech and Cyberbullying Detection 7
- Adversarial Robustness in Machine Learning 6
- Authorship Attribution and Profiling 4
- Sentiment Analysis and Opinion Mining 3
-
- Misinformation and Its Impacts 8
- Co-authors
- Dongwon Lee (22 shared papers)S. Shyam Sundar (4 shared papers)María D. Molina (4 shared papers)Suhang Wang (4 shared papers)Kai Shu (3 shared papers)Jooyoung Lee (3 shared papers)Huan Liu (2 shared papers)Noseong Park (3 shared papers)
- Journals
- Autonomous Agents and Multi-Agent Systems (1 paper)Renewable and Sustainable Energy Reviews (1 paper)Communication Research (1 paper)Mathematika (1 paper)American Behavioral Scientist (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Thai Le
30 papers receiving 752 citations
Thai Le's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 24
- Communication 130
- Artificial Intelligence 374
- Sociology and Political Science 394
- Information Systems 164
Countries citing papers authored by Thai Le
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
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-authors
The 25 scholars most cited alongside Thai Le, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | “Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content Hit paper breakdown → | 2019 | 315 |
| 2 | 2020 | 77 | |
| 3 | 2018 | 52 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 40 | |
| 6 | 2020 | 33 | |
| 7 | 2023 | 27 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 22 | |
| 10 | 2008 | 19 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 4 |
About Thai Le
Thai Le is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Discrete Mathematics and Combinatorics and Geometry and Topology, having authored 35 papers that have together received 774 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (8 papers), Topic Modeling (8 papers), Hate Speech and Cyberbullying Detection (7 papers), Adversarial Robustness in Machine Learning (6 papers), Authorship Attribution and Profiling (4 papers), Spam and Phishing Detection (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Limits and Structures in Graph Theory (3 papers). The work is most often cited by research in Health Informatics (24 citations), Communication (130 citations), Artificial Intelligence (374 citations), Sociology and Political Science (394 citations) and Information Systems (164 citations). Thai Le has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Dongwon Lee, S. Shyam Sundar, María D. Molina, Suhang Wang, Kai Shu, Jooyoung Lee, Huan Liu, Noseong Park, Jinghui Chen and Misha Pavel. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Renewable and Sustainable Energy Reviews, Communication Research, Mathematika and American Behavioral Scientist.
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.