Thai Le
- Health Informatics top 5%
- Communication top 5%
- Social Media and Politics 2
- Artificial Intelligence top 5%
- Topic Modeling 7
- Hate Speech and Cyberbullying Detection 6
- Adversarial Robustness in Machine Learning 5
- Authorship Attribution and Profiling 3
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- Misinformation and Its Impacts 7
- Information Systems top 5%
- Spam and Phishing Detection 2
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- Limits and Structures in Graph Theory 3
- Journals
- Mathematika (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Finite Fields and Their Applications (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Thai Le
25 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Health Informatics 24
- Communication 119
- Artificial Intelligence 332
- Sociology and Political Science 347
- Information Systems 143
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 23 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 69 | |
| 15 | 2020 | 31 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 0 | |
| 19 | 2017 | 5 | |
| 20 | 2008 | 15 |
About Thai Le
Thai Le is a scholar working on Discrete Mathematics and Combinatorics, Health Informatics, Artificial Intelligence, Algebra and Number Theory and Geometry and Topology, having authored 29 papers that have together received 682 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Adversarial Robustness in Machine Learning (5 papers), Authorship Attribution and Profiling (3 papers), Limits and Structures in Graph Theory (3 papers), Social Media and Politics (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Informatics (24 citations), Communication (119 citations), Artificial Intelligence (332 citations), Sociology and Political Science (347 citations) and Information Systems (143 citations). Thai Le has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Dongwon Lee, María D. Molina, S. Shyam Sundar, Suhang Wang, Kai Shu, Jooyoung Lee, Huan Liu, Eric Too, Noseong Park and Jinghui Chen. Their work appears in journals such as Mathematika, Autonomous Agents and Multi-Agent Systems, Finite Fields and Their Applications, American Behavioral Scientist 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.