Hung Lê

1.5k total citations · 1 hit paper
53 papers, 624 citations indexed

About

Hung Lê is a scholar working on Artificial Intelligence, Organic Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hung Lê has authored 53 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Organic Chemistry and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hung Lê's work include Advanced Chemical Physics Studies (11 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (7 papers). Hung Lê is often cited by papers focused on Advanced Chemical Physics Studies (11 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (7 papers). Hung Lê collaborates with scholars based in Belgium, United States and Australia. Hung Lê's co-authors include Minh Tho Nguyen, Steven C. H. Hoi, Akhilesh Deepak Gotmare, Junnan Li, Yue Wang, Robert Flammang, Tamás Veszprémi, Pascal Gerbaux, Balázs Hajgató and M. C. Lin and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Chemical Physics and Applied Energy.

In The Last Decade

Hung Lê

50 papers receiving 608 citations

Hit Papers

CodeT5+: Open Code Large Language Models for Code Underst... 2023 2026 2024 2025 2023 50 100 150
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. CodeT5+: Open Code Large Language Models for Code Understanding and Generation
    2023 159 citations Yue Wang, Hung Lê et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung Lê Belgium 13 166 123 117 106 77 53 624
Christopher Batten United States 24 188 1.1× 320 2.6× 19 0.2× 106 1.0× 140 1.8× 91 2.1k
Saurabh Srivastava India 14 280 1.7× 118 1.0× 40 0.3× 152 1.4× 38 0.5× 52 766
Daniel Haas United States 15 173 1.0× 58 0.5× 54 0.5× 53 0.5× 64 0.8× 46 955
Michael De Rosa United States 15 46 0.3× 29 0.2× 320 2.7× 96 0.9× 41 0.5× 62 1.1k
Haoyang Wu China 16 80 0.5× 78 0.6× 69 0.6× 30 0.3× 91 1.2× 65 1.1k
Andreas Rudolph Germany 16 105 0.6× 433 3.5× 95 0.8× 63 0.6× 142 1.8× 50 1.0k
Alain C. Vaucher Switzerland 16 132 0.8× 118 1.0× 52 0.4× 28 0.3× 83 1.1× 34 1.2k
Thomas Stahl Switzerland 15 263 1.6× 33 0.3× 178 1.5× 307 2.9× 187 2.4× 34 1.1k
Steven Kearnes United States 8 224 1.3× 77 0.6× 72 0.6× 38 0.4× 93 1.2× 17 1.8k

Countries citing papers authored by Hung Lê

Since Specialization
Citations

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

Fields of papers citing papers by Hung Lê

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung Lê

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

All Works

20 of 20 papers shown
1.
Shilton, Alistair, Sunil Gupta, Shannon Ryan, et al.. (2025). Accelerated experimental design using a human–AI teaming framework. Knowledge-Based Systems. 315. 113138–113138. 2 indexed citations
2.
Ryan, Shannon, et al.. (2025). Physics-informed machine learning for predicting the ballistic limit of whipple shields. International Journal of Impact Engineering. 203. 105364–105364. 1 indexed citations
3.
Duan, Chaorui, Hung Lê, & Dazhong Wu. (2025). Lithium-ion battery state-of-health estimation using intra-domain and cross-domain transfer learning: mitigating domain shift based on Wasserstein distance. Journal of Energy Storage. 132. 117601–117601. 3 indexed citations
4.
Lê, Hung, Khanh T.P. Nguyen, Christian Gogu, et al.. (2025). A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data. Applied Energy. 384. 125314–125314. 7 indexed citations
5.
6.
7.
Nguyen, Khanh T.P., et al.. (2024). A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics. SPIRE - Sciences Po Institutional REpository. 248–253.
8.
Wang, Yue, et al.. (2023). CodeT5+: Open Code Large Language Models for Code Understanding and Generation. 1069–1088. 159 indexed citations breakdown →
9.
Li, Dongxu, Junnan Li, Hung Lê, et al.. (2023). LAVIS: A One-stop Library for Language-Vision Intelligence. 31–41. 26 indexed citations
10.
Lê, Hung, et al.. (2023). Effects of low suction and wetting–drying cycles on filtered tailings shear strength. Paste/˜Pœaste. 652–662. 1 indexed citations
11.
Lê, Hung, et al.. (2023). Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artificial Intelligence. 325. 104021–104021. 2 indexed citations
12.
Cohen-Addad, Vincent, Hung Lê, Marcin Pilipczuk, & Michał Pilipczuk. (2023). Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1*. 2262–2277.
13.
Lê, Hung, Chinnadhurai Sankar, Seungwhan Moon, et al.. (2021). DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. 5651–5665. 6 indexed citations
14.
Lê, Hung, Truyen Tran, & Svetha Venkatesh. (2020). Self-Attentive Associative Memory. arXiv (Cornell University). 2 indexed citations
15.
Lê, Hung, Doyen Sahoo, Nancy F. Chen, & Steven C. H. Hoi. (2020). BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. 1846–1859. 13 indexed citations
16.
Lê, Hung, Truyen Tran, & Svetha Venkatesh. (2019). Learning to Remember More with Less Memorization. Own your potential (DEAKIN). 4 indexed citations
17.
Lê, Hung, Truyen Tran, Thin Nguyen, & Svetha Venkatesh. (2018). Variational Memory Encoder-Decoder. arXiv (Cornell University). 31. 1515–1525. 2 indexed citations
18.
Lê, Hung, et al.. (2013). Assessing the mechanical properties of a rock using indentation tests. ORBi UMONS. 3 indexed citations
19.
Lê, Hung, et al.. (2005). The electronic Construction and Quality Control in Standardized Testing platform project (e-C&QCST). Open Repository and Bibliography (University of Liège). 1 indexed citations
20.
Lahem, Driss, Robert Flammang, Hung Lê, Thanh Lâm Nguyễn, & Minh Tho Nguyen. (1999). [C2H4OS]>·>+> Radical cations derived from alkyl thioformates: tandem mass spectrometry and molecular orbital calculations. Journal of the Chemical Society Perkin Transactions 2. 821–826. 3 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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