Thai Le
Impact in
- Health Informatics top 5%
- Communication top 5%
- Social Media and Politics
Papers in
-
- Hate Speech and Cyberbullying Detection 7
- Topic Modeling 7
- Adversarial Robustness in Machine Learning 5
- Authorship Attribution and Profiling 3
-
- Misinformation and Its Impacts 7
- Co-authors
- Dongwon Lee (19 shared papers)S. Shyam Sundar (4 shared papers)María D. Molina (4 shared papers)Suhang Wang (3 shared papers)Kai Shu (3 shared papers)Jooyoung Lee (3 shared papers)Huan Liu (2 shared papers)Noseong Park (3 shared papers)
- Journals
- Communication Research (1 paper)Finite Fields and Their Applications (1 paper)American Behavioral Scientist (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Acta Arithmetica (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Thai Le
25 papers receiving 692 citations
Thai Le's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 24
- Communication 120
- Artificial Intelligence 336
- Sociology and Political Science 357
- Information Systems 148
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 30 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 | 286 |
| 2 | 2020 | 71 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 48 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 31 | |
| 7 | 2023 | 26 | |
| 8 | 2021 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 15 | |
| 12 | 2008 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 4 | |
| 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 30 papers that have together received 712 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (7 papers), Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers), Adversarial Robustness in Machine Learning (5 papers), Spam and Phishing Detection (3 papers), Authorship Attribution and Profiling (3 papers), Limits and Structures in Graph Theory (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Health Informatics (24 citations), Communication (120 citations), Artificial Intelligence (336 citations), Sociology and Political Science (357 citations) and Information Systems (148 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 Rebecca Yang. Their work appears in journals such as Communication Research, Finite Fields and Their Applications, American Behavioral Scientist, Autonomous Agents and Multi-Agent Systems and Acta Arithmetica.
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.