Thanh Hai Dang
- Co-authors
- Kris LaukensEllen Van DammeXaveer Van OstadeHoang-Quynh LeKoen Van LeemputA. VerschorenNigel CollierPieter Meysman
- Topics
- Topic Modeling (5 papers)Biomedical Text Mining and Ontologies (4 papers)Machine Learning in Bioinformatics (3 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- VietnamBelgiumUnited Kingdom
In The Last Decade
Thanh Hai Dang
15 papers receiving 398 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 333
- Artificial Intelligence 98
- Immunology 53
- Epidemiology 42
- Genetics 37
Countries citing papers authored by Thanh Hai Dang
This map shows the geographic impact of Thanh Hai Dang'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 Thanh Hai Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thanh Hai Dang more than expected).
Fields of papers citing papers by Thanh Hai Dang
This network shows the impact of papers produced by Thanh Hai Dang. 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 Thanh Hai Dang. The network helps show where Thanh Hai Dang may publish in the future.
Co-authorship network of co-authors of Thanh Hai Dang
This figure shows the co-authorship network connecting the top 25 collaborators of Thanh Hai Dang. A scholar is included among the top collaborators of Thanh Hai Dang 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 Thanh Hai Dang. Thanh Hai Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 78 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | AcoSeeD: An ant colony optimization for finding optimal spaced seeds in biological sequence search | 1 |
| 12 | 26 | |
| 13 | 1 | |
| 14 | 37 | |
| 15 | 169 | |
| 16 | 53 |
About Thanh Hai Dang
Thanh Hai Dang is a scholar working on Artificial Intelligence, Geology and Molecular Biology, having authored 16 papers that have together received 410 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Molecular Biology (333 citations), Artificial Intelligence (98 citations) and Immunology (53 citations). Thanh Hai Dang has collaborated with scholars based in Vietnam, Belgium and United Kingdom. Frequent co-authors include Kris Laukens, Ellen Van Damme, Xaveer Van Ostade, Hoang-Quynh Le, Koen Van Leemput, A. Verschoren, Nigel Collier, Pieter Meysman, Yan Wu and Kristof Engelen. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.