Boxing Chen
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 73
- Topic Modeling 73
- Speech Recognition and Synthesis 16
- Speech and dialogue systems 10
- Semantic Web and Ontologies 9
- Advanced Text Analysis Techniques 6
- Algorithms and Data Compression 6
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- Multimodal Machine Learning Applications 20
- Co-authors
- Colin Cherry (3 shared papers)Roland Kühn (16 shared papers)George Foster (13 shared papers)Weihua Luo (11 shared papers)Zhirui Zhang (9 shared papers)Min Zhang (4 shared papers)Xiangyu Duan (3 shared papers)Junliang Guo (4 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Computational Linguistics (1 paper)ACM Transactions on Asian Language Information Processing (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (2 papers)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Boxing Chen
82 papers receiving 874 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 902
- Computer Vision and Pattern Recognition 242
- Software 18
- Information Systems 97
- Signal Processing 20
Countries citing papers authored by Boxing Chen
This map shows the geographic impact of Boxing Chen'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 Boxing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boxing Chen more than expected).
Fields of papers citing papers by Boxing Chen
This network shows the impact of papers produced by Boxing Chen. 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 Boxing Chen. The network helps show where Boxing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Boxing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2019 | 40 | |
| 3 | 2021 | 38 | |
| 4 | 2020 | 38 | |
| 5 | 2021 | 36 | |
| 6 | 2017 | 32 | |
| 7 | 2022 | 30 | |
| 8 | 2023 | 27 | |
| 9 | 2020 | 27 | |
| 10 | Vector Space Model for Adaptation in Statistical Machine Translation | 2013 | 24 |
| 11 | 2020 | 21 | |
| 12 | 2022 | 21 | |
| 13 | Reordering rules for phrase-based statistical machine translation. | 2006 | 20 |
| 14 | AMBER: A Modified BLEU, Enhanced Ranking Metric | 2011 | 20 |
| 15 | PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning | 2012 | 20 |
| 16 | 2019 | 20 | |
| 17 | Unpacking and Transforming Feature Functions: New Ways to Smooth Phrase Tables | 2011 | 19 |
| 18 | 2018 | 17 | |
| 19 | 2021 | 17 | |
| 20 | Lessons from NRC's Portage System at WMT 2010 | 2010 | 16 |
About Boxing Chen
Boxing Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Signal Processing, having authored 88 papers that have together received 962 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (73 papers), Topic Modeling (73 papers), Multimodal Machine Learning Applications (20 papers), Speech Recognition and Synthesis (16 papers), Speech and dialogue systems (10 papers), Semantic Web and Ontologies (9 papers), Advanced Text Analysis Techniques (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Artificial Intelligence (902 citations), Computer Vision and Pattern Recognition (242 citations), Software (18 citations), Information Systems (97 citations) and Signal Processing (20 citations). Boxing Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Colin Cherry, Roland Kühn, George Foster, Weihua Luo, Zhirui Zhang, Min Zhang, Xiangyu Duan, Junliang Guo, Kai Fan and Mauro Cettolo. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, ACM Transactions on Asian Language Information Processing, Findings of the Association for Computational Linguistics: ACL 2022 and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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.