Thai-Hoang Pham
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Materials Chemistry
- Infectious Diseases
- Co-authors
- Ping ZhangYue QiuLei XieSatoshi SekineRyohei SasanoLaxmi S. MehtaDanushka BollegalaXueru Zhang
- Topics
- Machine Learning in Healthcare (3 papers)Computational Drug Discovery Methods (3 papers)Topic Modeling (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Thai-Hoang Pham
12 papers receiving 178 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 95
- Computational Theory and Mathematics 79
- Artificial Intelligence 46
- Materials Chemistry 25
- Infectious Diseases 19
Countries citing papers authored by Thai-Hoang Pham
This map shows the geographic impact of Thai-Hoang Pham'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-Hoang Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thai-Hoang Pham more than expected).
Fields of papers citing papers by Thai-Hoang Pham
This network shows the impact of papers produced by Thai-Hoang Pham. 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-Hoang Pham. The network helps show where Thai-Hoang Pham may publish in the future.
Co-authorship network of co-authors of Thai-Hoang Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Thai-Hoang Pham. A scholar is included among the top collaborators of Thai-Hoang Pham 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-Hoang Pham. Thai-Hoang Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Non-stationary Domain Generalization: Theory and Algorithm. | 1 |
| 3 | 17 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 126 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | An Empirical Study on Fine-Grained Named Entity Recognition | 16 |
| 11 | The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition | 1 |
| 12 | 4 | |
| 13 | 1 |
About Thai-Hoang Pham
Thai-Hoang Pham is a scholar working on Artificial Intelligence, Health Information Management and Computational Theory and Mathematics, having authored 13 papers that have together received 187 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Computational Drug Discovery Methods (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Informatics (9 citations), Computational Theory and Mathematics (79 citations) and Biophysics (18 citations). Thai-Hoang Pham has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Ping Zhang, Yue Qiu, Lei Xie, Satoshi Sekine, Lei Xie, Ping Zhang, Ryohei Sasano, Laxmi S. Mehta, Danushka Bollegala and Xueru Zhang. Their work appears in journals such as Nature Machine Intelligence, Knowledge and Information Systems and Patterns.
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.