Tu Vu
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Information Systems top 10%
- Expert finding and Q&A systems
- Information Retrieval and Search Behavior
Papers in
-
- Topic Modeling 12
- Domain Adaptation and Few-Shot Learning 5
- Natural Language Processing Techniques 5
- Text Readability and Simplification 1
- Speech and dialogue systems 1
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- Expert finding and Q&A systems 1
- Co-authors
- Noah Constant (3 shared papers)Daniel M. Cer (2 shared papers)Rami Al‐Rfou (1 shared paper)Mohit Iyyer (5 shared papers)Tsendsuren Munkhdalai (2 shared papers)Son Bao Pham (1 shared paper)Vu Tran (1 shared paper)Le-Minh Nguyen (1 shared paper)
- Journals
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (6 papers)Annual Meeting of the Association for Computational Linguistics (ACL) (3 papers)International Workshop on Semantic Evaluation (SemEval) (1 paper)Joint Conference on Lexical and Computational Semantics (1 paper)
- Partner nations
- United StatesVietnamJapan
In The Last Decade
Tu Vu
12 papers receiving 394 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 320
- Information Systems 70
- Computer Vision and Pattern Recognition 28
- Health Informatics 2
- General Social Sciences 2
Countries citing papers authored by Tu Vu
This map shows the geographic impact of Tu Vu'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 Tu Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Vu more than expected).
Fields of papers citing papers by Tu Vu
This network shows the impact of papers produced by Tu Vu. 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 Tu Vu. The network helps show where Tu Vu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tu Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 136 | |
| 2 | 2020 | 72 | |
| 3 | 2015 | 57 | |
| 4 | 2018 | 37 | |
| 5 | 2024 | 31 | |
| 6 | 2021 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2018 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Tu Vu
Tu Vu is a scholar working on Artificial Intelligence, Information Systems, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 14 papers that have together received 405 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Domain Adaptation and Few-Shot Learning (5 papers), Natural Language Processing Techniques (5 papers), Text Readability and Simplification (1 paper), Expert finding and Q&A systems (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (320 citations), Information Systems (70 citations), Computer Vision and Pattern Recognition (28 citations), Health Informatics (2 citations) and General Social Sciences (2 citations). Tu Vu has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Noah Constant, Daniel M. Cer, Rami Al‐Rfou, Mohit Iyyer, Tsendsuren Munkhdalai, Son Bao Pham, Vu Tran, Le-Minh Nguyen, Quan Hung Tran and Alessandro Sordoni. Their work appears in journals such as Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Conference on Empirical Methods in Natural Language Processing (EMNLP), Annual Meeting of the Association for Computational Linguistics (ACL), International Workshop on Semantic Evaluation (SemEval) and Joint Conference on Lexical and Computational Semantics.
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.