Hang Le

3 papers and 526 indexed citations i.

About

Hang Le is a scholar working on Artificial Intelligence, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Hang Le has authored 3 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Organic Chemistry. Recurrent topics in Hang Le’s work include Natural Language Processing Techniques (2 papers), Speech Recognition and Synthesis (2 papers) and Computational Drug Discovery Methods (1 paper). Hang Le is often cited by papers focused on Natural Language Processing Techniques (2 papers), Speech Recognition and Synthesis (2 papers) and Computational Drug Discovery Methods (1 paper). Hang Le collaborates with scholars based in France, Australia and Israel. Hang Le's co-authors include Thomas P. Quinn, Tri Minh Nguyen, Svetha Venkatesh, Thin Nguyen, Thuc Duy Le, Didier Schwab, Laurent Besacier, Juan Pino, Changhan Wang and Jiatao Gu and has published in prestigious journals such as Bioinformatics, Interspeech 2022 and Proceedings of the 17th international conference on Computational linguistics -.

In The Last Decade

Co-authorship network of co-authors of Hang Le i

Fields of papers citing papers by Hang Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Le

Since Specialization
Citations

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

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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2025