Hang Le

1.3k total citations · 1 hit paper
7 papers, 697 citations indexed

About

Hang Le is a scholar working on Artificial Intelligence, Social Psychology and Epidemiology. According to data from OpenAlex, Hang Le has authored 7 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Epidemiology. Recurrent topics in Hang Le's work include Natural Language Processing Techniques (4 papers), Speech Recognition and Synthesis (3 papers) and Mental Health via Writing (2 papers). Hang Le is often cited by papers focused on Natural Language Processing Techniques (4 papers), Speech Recognition and Synthesis (3 papers) and Mental Health via Writing (2 papers). Hang Le collaborates with scholars based in France, Australia and Vietnam. Hang Le's co-authors include Thuc Duy Le, Svetha Venkatesh, Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Laurent Besacier, Didier Schwab, Juan Pino, Jiatao Gu and Changhan Wang and has published in prestigious journals such as Bioinformatics, SN Computer Science and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Hang Le

5 papers receiving 686 citations

Hit Papers

GraphDTA: predicting drug–target binding affinity with gr... 2020 2026 2022 2024 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GraphDTA: predicting drug–target binding affinity with graph neural networks
    2020 629 citations Thin Nguyen, Hang Le et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hang Le France 3 551 525 197 100 49 7 697
Mingjian Jiang China 13 616 1.1× 555 1.1× 308 1.6× 63 0.6× 41 0.8× 24 796
Weihe Zhong China 12 485 0.9× 447 0.9× 224 1.1× 72 0.7× 40 0.8× 17 655
Yang Qiu China 13 503 0.9× 509 1.0× 159 0.8× 113 1.1× 26 0.5× 34 804
Ben Liao China 6 481 0.9× 350 0.7× 297 1.5× 117 1.2× 43 0.9× 10 678
Hanna Geppert Germany 13 566 1.0× 465 0.9× 132 0.7× 33 0.3× 121 2.5× 21 701
Fergus Imrie United Kingdom 9 318 0.6× 288 0.5× 180 0.9× 54 0.5× 47 1.0× 17 494
Wei Nie Macao 5 315 0.6× 332 0.6× 103 0.5× 15 0.1× 57 1.2× 10 439
Jian Yin China 6 379 0.7× 426 0.8× 78 0.4× 64 0.6× 35 0.7× 16 600

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).

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.

Co-authorship network of co-authors of Hang Le

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Le. A scholar is included among the top collaborators of Hang 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 Hang Le. Hang Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Le, Hang, et al.. (2023). Predicting Community Health Through Heterogeneous Social Networks. SN Computer Science. 4(3).
2.
Nguyen, Ha-Thanh, Hang Le, Natalia Tomashenko, et al.. (2021). LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. arXiv (Cornell University). 34 indexed citations
3.
Nguyen, Thin, Hang Le, Thomas P. Quinn, et al.. (2020). GraphDTA: predicting drug–target binding affinity with graph neural networks. Bioinformatics. 37(8). 1140–1147. 629 indexed citations breakdown →
4.
Le, Hang, Juan Pino, Changhan Wang, et al.. (2020). Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
5.
6.
Le, Hang, Maximin Coavoux, Benjamin Lecouteux, et al.. (2020). FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français. HAL (Le Centre pour la Communication Scientifique Directe). 268–278.
7.
Le, Hang, Juan Pino, Changhan Wang, et al.. (2020). Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. 3520–3533. 31 indexed citations

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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