Chenchen Ding
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 33
- Topic Modeling 31
- Speech Recognition and Synthesis 14
- Speech and dialogue systems 4
- Algorithms and Data Compression 3
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- Multimodal Machine Learning Applications 5
- Co-authors
- Masao Utiyama (23 shared papers)Eiichiro Sumita (21 shared papers)Sheng Li (11 shared papers)Win Pa Pa (7 shared papers)Raj Dabre (6 shared papers)Jianwu Dang (5 shared papers)Longbiao Wang (5 shared papers)Toshiaki Nakazawa (5 shared papers)
In The Last Decade
Chenchen Ding
43 papers receiving 296 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 296
- Computer Vision and Pattern Recognition 81
- Signal Processing 33
- Language and Linguistics 28
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Chenchen Ding
This map shows the geographic impact of Chenchen Ding'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 Chenchen Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Ding more than expected).
Fields of papers citing papers by Chenchen Ding
This network shows the impact of papers produced by Chenchen Ding. 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 Chenchen Ding. The network helps show where Chenchen Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Ding, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 40 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 27 | |
| 4 | 2018 | 21 | |
| 5 | 2019 | 19 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 11 | |
| 11 | Proceedings of the 3rd Workshop on Asian Translation (WAT2016) | 2016 | 9 |
| 12 | 2021 | 8 | |
| 13 | 2023 | 8 | |
| 14 | Empirical Dependency-Based Head Finalization for Statistical Chinese-, English-, and French-to-Myanmar (Burmese) Machine Translation | 2014 | 6 |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 5 | |
| 19 | English-Myanmar NMT and SMT with Pre-ordering: NICT's Machine Translation Systems at WAT-2018. | 2018 | 4 |
| 20 | 2016 | 4 |
About Chenchen Ding
Chenchen Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Signal Processing and Experimental and Cognitive Psychology, having authored 45 papers that have together received 323 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (31 papers), Speech Recognition and Synthesis (14 papers), Translation Studies and Practices (6 papers), Multimodal Machine Learning Applications (5 papers), Phonetics and Phonology Research (4 papers), Speech and dialogue systems (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Computer Vision and Pattern Recognition (81 citations), Signal Processing (33 citations), Language and Linguistics (28 citations) and Experimental and Cognitive Psychology (21 citations). Chenchen Ding has collaborated with scholars based in Japan, Myanmar and China. Frequent co-authors include Masao Utiyama, Eiichiro Sumita, Sheng Li, Win Pa Pa, Raj Dabre, Jianwu Dang, Longbiao Wang, Toshiaki Nakazawa, Isao Goto and Sadao Kurohashi. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, Language Resources and Evaluation, Communications Materials and ACM Transactions on Asian and Low-Resource Language Information Processing.
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.