Hai-Son Le

840 citations
19 papers · 568 · h-index 11

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • Text Readability and Simplification
    • HIV Research and Treatment

Papers in

Hai-Son Le

19 papers receiving 525 citations

Peers

Hai-Son Le
Comparison fields: 5 of 75
  • Artificial Intelligence 302
  • Virology 29
  • Cancer Research 76
  • Molecular Biology 176
  • Hardware and Architecture 18
Replace Diogo Pratas with:
Diogo Pratas Portugal
Mourad Elloumi Tunisia
Rune B. Lyngsø United Kingdom
Akie Sakiyama Japan
Michael Fry Australia
Sriram P. Chockalingam United States
Yuhao Wen China
Shibin Qiu United States
Idoia Ochoa United States
Dan F. DeBlasio United States
Hai-Son Le relative to Diogo Pratas Portugal Diogo Pratas's profile →
Citations per field
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Diogo Pratas · 1×
Citations per year

Countries citing papers authored by Hai-Son Le

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Son Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hai-Son Le, 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 Hai-Son Le Line = papers co-authored together Hai-Son Le links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201193
2
Continuous space translation models with neural networks
201290
3 201381
4 201364
5 201256
6 201339
7 200827
8 201021
9 200619
10
Measuring the Influence of Long Range Dependencies with Neural Network Language Models
201218
11
LIMSI @ WMT12
201214
12 201510
13
LIMSI $@$ WMT13
201310
14
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
201110
15 20158
16 20143
17
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
20102
18
The speech recognition and machine translation system of IOIT for IWSLT 2013.
20132
19 20141

About Hai-Son Le

Hai-Son Le is a scholar working on Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Aquatic Science, having authored 19 papers that have together received 568 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Genomics and Phylogenetic Studies (4 papers), Speech Recognition and Synthesis (4 papers), Hand Gesture Recognition Systems (3 papers), Algorithms and Data Compression (3 papers), Human Pose and Action Recognition (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Artificial Intelligence (302 citations), Virology (29 citations), Cancer Research (76 citations), Molecular Biology (176 citations) and Hardware and Architecture (18 citations). Hai-Son Le has collaborated with scholars based in United States, France and Vietnam. Frequent co-authors include François Yvon, Alexandre Allauzen, Ziv Bar‐Joseph, Ilya Oparin, Jean‐Luc Gauvain, Schulz Marcel H., Veronica F. Hinman, Vijaya Ramachandran, J.-L. Gauvain and Zoltán N. Oltvai. Their work appears in journals such as Bioinformatics, IEEE Transactions on Computational Biology and Bioinformatics, Genome biology, Nucleic Acids Research and BMC Infectious Diseases.

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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