Hung Lê

51 papers receiving 657 citations

Hung Lê's Hit Papers

CodeT5+: Open Code Large Language Models for Code Understanding and Generation 2023 · 175 citations
1750+1+2Years since publication50100150

Peers

Hung Lê
Comparison fields: 5 of 99
  • Software 67
  • Physical and Theoretical Chemistry 76
  • Artificial Intelligence 171
  • Information Systems 114
  • Spectroscopy 77
Replace Christopher Batten with:
Christopher Batten United States
Michael De Rosa United States
Saurabh Srivastava India
Dongming Chen China
Tetsutaro Uehara Japan
Xiangyue Liu China
Haoyang Wu China
Moaraj Hasan United States
Wendy Myrvold Canada
Hung Lê relative to Christopher Batten United States Christopher Batten's profile →
Citations per field
00.5×
Christopher Batten · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hung Lê, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hung Lê Line = papers co-authored together Hung Lê links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Hit paper breakdown →
2023175
2 200365
3 201342
4 200333
5 202329
6 199923
7 200122
8 200218
9 202516
10 200316
11 202016
12 199915
13 202014
14 202313
15 200012
16
Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift
201812
17 202012
18 202011
19 20009
20 20039

About Hung Lê

Hung Lê is a scholar working on Artificial Intelligence, Organic Chemistry, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Physical and Theoretical Chemistry, having authored 54 papers that have together received 669 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (11 papers), Topic Modeling (9 papers), Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (7 papers), Chemical Reaction Mechanisms (6 papers), Human Pose and Action Recognition (5 papers), Speech and dialogue systems (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Software (67 citations), Physical and Theoretical Chemistry (76 citations), Artificial Intelligence (171 citations), Information Systems (114 citations) and Spectroscopy (77 citations). Hung Lê has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Minh Tho Nguyen, Steven C. H. Hoi, Junnan Li, Yue Wang, Akhilesh Deepak Gotmare, Robert Flammang, Tamás Veszprémi, Pascal Gerbaux, Balázs Hajgató and M. C. Lin. Their work appears in journals such as International Journal of Mass Spectrometry, Chemical Physics Letters, The Journal of Physical Chemistry A, International Journal of Impact Engineering and Physical Chemistry Chemical Physics.

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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