Hoang-Quynh Le

94 total papers · 1.8k total citations
60 papers, 1.2k citations indexed

About

Hoang-Quynh Le is a scholar working on Artificial Intelligence, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Hoang-Quynh Le has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Biomedical Engineering and 11 papers in Molecular Biology. Recurrent topics in Hoang-Quynh Le's work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (8 papers). Hoang-Quynh Le is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (8 papers). Hoang-Quynh Le collaborates with scholars based in Vietnam, Saudi Arabia and India. Hoang-Quynh Le's co-authors include Arivalagan Pugazhendhi, Iskander Tlili, Zahra Abdelmalek, PanneerSelvam SundarRajan, K. Pavithra, Thanh Hai Dang, Jayaseelan Arun, Aswin Thacharodi, Saqib Hassan and A. Babu Ponnusami and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Hoang-Quynh Le

54 papers receiving 1.2k citations

Hit Papers

Advanced oxidation proces... 2023 2026 2024 2023 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Hoang-Quynh Le 291 218 212 194 189 60 1.2k
Tao Zhuang 199 0.7× 314 1.4× 312 1.5× 129 0.7× 91 0.5× 103 1.5k
G. Roux 270 0.9× 77 0.4× 160 0.8× 80 0.4× 107 0.6× 100 1.4k
Meiqi Yang 244 0.8× 337 1.5× 75 0.4× 113 0.6× 81 0.4× 37 1.3k
Willian Cézar Nadaleti 326 1.1× 128 0.6× 212 1.0× 41 0.2× 94 0.5× 88 1.1k
Hongbo Chen 172 0.6× 125 0.6× 191 0.9× 79 0.4× 74 0.4× 86 1.1k
Jiefeng Chen 599 2.1× 207 0.9× 98 0.5× 53 0.3× 124 0.7× 46 1.4k
Young‐Ju Kim 289 1.0× 481 2.2× 75 0.4× 59 0.3× 136 0.7× 63 1.4k
Qiqi Zhang 176 0.6× 315 1.4× 93 0.4× 45 0.2× 153 0.8× 91 1.4k
Fenghe Wang 442 1.5× 208 1.0× 78 0.4× 274 1.4× 70 0.4× 48 1.3k
Irina Kirpichnikova 176 0.6× 132 0.6× 152 0.7× 167 0.9× 118 0.6× 69 1.2k

Countries citing papers authored by Hoang-Quynh Le

Since Specialization
Citations

This map shows the geographic impact of Hoang-Quynh 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 Hoang-Quynh Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoang-Quynh Le more than expected).

Fields of papers citing papers by Hoang-Quynh Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoang-Quynh 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 Hoang-Quynh Le. The network helps show where Hoang-Quynh Le may publish in the future.

Co-authorship network of co-authors of Hoang-Quynh Le

This figure shows the co-authorship network connecting the top 25 collaborators of Hoang-Quynh Le. A scholar is included among the top collaborators of Hoang-Quynh Le 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 Hoang-Quynh Le. Hoang-Quynh Le 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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