Thanh-Le Ha

931 total citations
27 papers, 266 citations indexed

About

Thanh-Le Ha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Thanh-Le Ha has authored 27 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Thanh-Le Ha's work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Speech Recognition and Synthesis (8 papers). Thanh-Le Ha is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Speech Recognition and Synthesis (8 papers). Thanh-Le Ha collaborates with scholars based in Germany, Vietnam and France. Thanh-Le Ha's co-authors include Alex Waibel, Jan Niehues, Eunah Cho, Matthias Sperber, Alexander Waibel, Thai‐Son Nguyen, Sebastian Stüker, Teresa Herrmann, Kevin Kilgour and Markus Müller and has published in prestigious journals such as Applied Artificial Intelligence, KITopen and Repository KITopen (Karlsruhe Institute of Technology).

In The Last Decade

Thanh-Le Ha

27 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanh-Le Ha Germany 10 257 68 18 16 8 27 266
Stig-Arne Grönroos Finland 9 335 1.3× 91 1.3× 23 1.3× 15 0.9× 13 1.6× 23 358
Jason Riesa United States 9 231 0.9× 44 0.6× 13 0.7× 29 1.8× 7 0.9× 14 250
Matthias Paulik United States 11 335 1.3× 51 0.8× 10 0.6× 38 2.4× 4 0.5× 30 348
Stephan Peitz Germany 11 342 1.3× 67 1.0× 5 0.3× 10 0.6× 12 1.5× 28 347
Elizabeth Salesky United States 7 184 0.7× 32 0.5× 9 0.5× 17 1.1× 4 0.5× 20 192
Win Pa Pa Myanmar 9 208 0.8× 74 1.1× 19 1.1× 19 1.2× 5 0.6× 39 228
Teresa Herrmann Germany 11 293 1.1× 24 0.4× 11 0.6× 7 0.4× 14 1.8× 23 301
Jindřich Helcl Czechia 9 282 1.1× 126 1.9× 11 0.6× 10 0.6× 11 1.4× 16 304
Sebastian Stüker Germany 8 235 0.9× 57 0.8× 7 0.4× 49 3.1× 6 0.8× 16 248
Adrià Giménez Spain 11 209 0.8× 102 1.5× 10 0.6× 63 3.9× 5 0.6× 23 272

Countries citing papers authored by Thanh-Le Ha

Since Specialization
Citations

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

Fields of papers citing papers by Thanh-Le Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thanh-Le Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Thanh-Le Ha. A scholar is included among the top collaborators of Thanh-Le Ha 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 Thanh-Le Ha. Thanh-Le Ha 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.
Ha, Thanh-Le, et al.. (2023). Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation. 654–670. 1 indexed citations
2.
Vinh, Nguyen Van, et al.. (2022). An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation. Applied Artificial Intelligence. 36(1). 7 indexed citations
3.
Nguyen, Thai‐Son, et al.. (2021). KIT’s IWSLT 2021 Offline Speech Translation System. 5 indexed citations
4.
Ha, Thanh-Le, et al.. (2021). Multilingual Speech Translation KIT @ IWSLT2021. 154–159. 3 indexed citations
5.
6.
Stüker, Sebastian, Thai‐Son Nguyen, Felix Schneider, et al.. (2020). Removing European Language Barriers with Innovative Machine Translation Technology. 44–49. 6 indexed citations
7.
Modrzejewski, M, et al.. (2020). Incorporating External Annotation to improve Named Entity Translation in NMT.. 45–51. 10 indexed citations
8.
Ha, Thanh-Le, Markus Müller, Jan Niehues, et al.. (2018). KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning. Repository KITopen (Karlsruhe Institute of Technology). 89–93. 4 indexed citations
9.
Niehues, Jan, et al.. (2018). Low-Latency Neural Speech Translation. 34 indexed citations
10.
Niehues, Jan, Eun-Ah Cho, Thanh-Le Ha, & Alex Waibel. (2017). Analyzing Neural MT Search and Model Performance. 11–17. 6 indexed citations
11.
Niehues, Jan, Eunah Cho, Thanh-Le Ha, & Alex Waibel. (2016). Pre-Translation for Neural Machine Translation.. International Conference on Computational Linguistics. 1828–1836. 30 indexed citations
12.
Müller, Markus, Thai‐Son Nguyen, Jan Niehues, et al.. (2016). Lecture Translator - Speech translation framework for simultaneous lecture translation. 82–86. 10 indexed citations
13.
Ha, Thanh-Le, Eunah Cho, Jan Niehues, et al.. (2016). The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016. Repository KITopen (Karlsruhe Institute of Technology). 303–310. 7 indexed citations
14.
Niehues, Jan, Thai‐Son Nguyen, Eunah Cho, et al.. (2016). Dynamic Transcription for Low-Latency Speech Translation. 2513–2517. 26 indexed citations
15.
Cho, Eunah, et al.. (2015). The Karlsruhe Institute of Technology Translation Systems for the WMT 2015. 92–97. 3 indexed citations
16.
Ha, Thanh-Le, Eunah Cho, Jan Niehues, et al.. (2015). The KIT-LIMSI Translation System for WMT 2015. 120–125. 2 indexed citations
17.
Ha, Thanh-Le, Jan Niehues, & Alex Waibel. (2014). Lexical Translation Model Using A Deep Neural Network Architecture. IWSLT. 3 indexed citations
18.
Cho, Eunah, et al.. (2013). The Karlsruhe Institute of Technology Translation Systems for the WMT 2013. KITopen. 104–108. 3 indexed citations
19.
Ha, Thanh-Le, et al.. (2013). The KIT Translation Systems for IWSLT 2013. KITopen. 38–45. 16 indexed citations
20.
Cho, Eunah, Thanh-Le Ha, & Alex Waibel. (2013). CRF-based Disfluency Detection using Semantic Features for German to English Spoken Language Translation. KITopen. 12 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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