Duc Le

1.2k citations
30 papers · 741 · h-index 15

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 19
    • Natural Language Processing Techniques 13
    • Topic Modeling 9
    • Speech and dialogue systems 6
    • Speech and Audio Processing 9
    • Music and Audio Processing 8

Duc Le

28 papers receiving 657 citations

Peers

Duc Le
Comparison fields: 5 of 64
  • Signal Processing 313
  • Artificial Intelligence 523
  • Experimental and Cognitive Psychology 160
  • Cognitive Neuroscience 120
  • Health Informatics 6
Replace Andreas Tsiartas with:
Andreas Tsiartas United States
John-Paul Hosom United States
Christophe Veaux France
Klára Vicsi Hungary
Michaela Socolof United States
Patrick Cardinal Canada
Sandra Ottl Germany
Jean-Luc Rouas France
Cenk Demiroğlu Türkiye
Elizabeth Godoy United States
Duc Le relative to Andreas Tsiartas United States Andreas Tsiartas's profile →
Citations per field
00.5×2×3.0×
Andreas Tsiartas · 1×
Citations per year

Countries citing papers authored by Duc Le

Since Specialization
Citations

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

Fields of papers citing papers by Duc Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 201392
3 202152
4 201650
5 202148
6 201844
7 201939
8 201636
9 201736
10 201835
11 201422
12 202120
13 202120
14 201719
15 202119
16 202115
17 202014
18 201414
19 201311
20 202011

About Duc Le

Duc Le is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 741 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (13 papers), Speech and Audio Processing (9 papers), Topic Modeling (9 papers), Music and Audio Processing (8 papers), Speech and dialogue systems (6 papers), Emotion and Mood Recognition (5 papers) and Neurobiology of Language and Bilingualism (5 papers). The work is most often cited by research in Signal Processing (313 citations), Artificial Intelligence (523 citations), Experimental and Cognitive Psychology (160 citations), Cognitive Neuroscience (120 citations) and Health Informatics (6 citations). Duc Le has collaborated with scholars based in United States, Israel and Vietnam. Frequent co-authors include Emily Mower Provost, Michael L. Seltzer, Christian Fuegen, Julian Chan, Yangyang Shi, Jay Mahadeokar, Carol C. Persad, Ching-Feng Yeh, Chunyang Wu and Frank Zhang. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, Lecture notes in computer science, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and arXiv (Cornell University).

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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