Thanh Hai Dang

38 total papers · 572 total citations
16 papers, 408 citations indexed

About

Thanh Hai Dang is a scholar working on Molecular Biology, Artificial Intelligence and Geophysics. According to data from OpenAlex, Thanh Hai Dang has authored 16 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Artificial Intelligence and 2 papers in Geophysics. Recurrent topics in Thanh Hai Dang's work include Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Machine Learning in Bioinformatics (3 papers). Thanh Hai Dang is often cited by papers focused on Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Machine Learning in Bioinformatics (3 papers). Thanh Hai Dang collaborates with scholars based in Vietnam, Belgium and United Kingdom. Thanh Hai Dang's co-authors include Kris Laukens, Xaveer Van Ostade, Ellen Van Damme, Hoang-Quynh Le, A. Verschoren, Koen Van Leemput, Yan Wu, Pieter Meysman, Kristof Engelen and Riet De Smet and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Thanh Hai Dang

15 papers receiving 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thanh Hai Dang 331 97 53 42 37 16 408
Samuel A. Danziger 198 0.6× 44 0.5× 55 1.0× 14 0.3× 14 0.4× 19 369
Rodrigo Santamaría 239 0.7× 33 0.3× 26 0.5× 62 1.5× 25 0.7× 25 426
Cedrik Magis 267 0.8× 31 0.3× 37 0.7× 23 0.5× 50 1.4× 12 376
Shuye Tian 295 0.9× 23 0.2× 30 0.6× 37 0.9× 23 0.6× 14 420
Harshil Shah 294 0.9× 17 0.2× 21 0.4× 25 0.6× 28 0.8× 23 453
Yuh-Ju Sun 289 0.9× 29 0.3× 42 0.8× 9 0.2× 47 1.3× 9 419
Natalia Pietrosemoli 261 0.8× 12 0.1× 63 1.2× 68 1.6× 34 0.9× 22 487
Mikaël Salson 233 0.7× 83 0.9× 69 1.3× 14 0.3× 17 0.5× 23 383
G. Y. Srinivasarao 342 1.0× 25 0.3× 43 0.8× 16 0.4× 28 0.8× 9 426
William Yang 299 0.9× 27 0.3× 22 0.4× 29 0.7× 58 1.6× 26 434

Countries citing papers authored by Thanh Hai Dang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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