Chenchen Ding

724 total citations
45 papers, 313 citations indexed

About

Chenchen Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Chenchen Ding has authored 45 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Language and Linguistics. Recurrent topics in Chenchen Ding's work include Natural Language Processing Techniques (33 papers), Topic Modeling (31 papers) and Speech Recognition and Synthesis (14 papers). Chenchen Ding is often cited by papers focused on Natural Language Processing Techniques (33 papers), Topic Modeling (31 papers) and Speech Recognition and Synthesis (14 papers). Chenchen Ding collaborates with scholars based in Japan, Myanmar and China. Chenchen Ding's co-authors include Masao Utiyama, Eiichiro Sumita, Sheng Li, Win Pa Pa, Raj Dabre, Longbiao Wang, Toshiaki Nakazawa, Isao Goto, Sadao Kurohashi and Jianwu Dang and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Chenchen Ding

43 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenchen Ding Japan 10 288 80 30 28 22 45 313
Adriana Stan Romania 10 279 1.0× 16 0.2× 108 3.6× 13 0.5× 7 0.3× 50 325
Mohammed Alhazmi Saudi Arabia 12 312 1.1× 39 0.5× 125 4.2× 15 0.5× 6 0.3× 26 342
Win Pa Pa Myanmar 9 208 0.7× 74 0.9× 19 0.6× 19 0.7× 2 0.1× 39 228
Sebastian Stüker Germany 8 235 0.8× 57 0.7× 49 1.6× 7 0.3× 2 0.1× 16 248
Ciro Martins Portugal 8 216 0.8× 25 0.3× 146 4.9× 20 0.7× 5 0.2× 26 276
Markus Müller Germany 9 199 0.7× 24 0.3× 88 2.9× 13 0.5× 2 0.1× 32 221
Mourad Abbas Algeria 8 121 0.4× 14 0.2× 34 1.1× 13 0.5× 7 0.3× 27 170
Siddharth Dalmia United States 11 379 1.3× 17 0.2× 122 4.1× 5 0.2× 8 0.4× 26 402
Navya Jose India 5 188 0.7× 12 0.1× 11 0.4× 6 0.2× 17 0.8× 5 215
Arun Babu India 3 248 0.9× 28 0.3× 112 3.7× 2 0.1× 12 0.5× 4 299

Countries citing papers authored by Chenchen Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chenchen Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chenchen Ding. A scholar is included among the top collaborators of Chenchen Ding 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 Chenchen Ding. Chenchen Ding 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.
Dang, Jianwu, et al.. (2023). Disordered speech recognition considering low resources and abnormal articulation. Speech Communication. 155. 103002–103002. 4 indexed citations
2.
Dabre, Raj, et al.. (2023). Low-resource Multilingual Neural Translation Using Linguistic Feature-based Relevance Mechanisms. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(7). 1–36. 6 indexed citations
3.
Ding, Chenchen, et al.. (2020). A Burmese (Myanmar) Treebank. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(3). 1–13. 5 indexed citations
4.
Ding, Chenchen, et al.. (2020). A Myanmar (Burmese)-English Named Entity Transliteration Dictionary. Language Resources and Evaluation. 2980–2983. 1 indexed citations
5.
Nakazawa, Toshiaki, Chenchen Ding, Raj Dabre, et al.. (2020). Overview of the 7th Workshop on Asian Translation. 1–44. 14 indexed citations
6.
Dabre, Raj, et al.. (2020). Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation. 4263–4274. 5 indexed citations
7.
Ding, Chenchen, et al.. (2019). Towards Burmese (Myanmar) Morphological Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(1). 1–34. 19 indexed citations
11.
Ding, Chenchen, Masao Utiyama, & Eiichiro Sumita. (2018). NOVA. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(2). 1–18. 21 indexed citations
12.
Wang, Rui, Chenchen Ding, Masao Utiyama, & Eiichiro Sumita. (2018). English-Myanmar NMT and SMT with Pre-ordering: NICT's Machine Translation Systems at WAT-2018.. Waseda University Repository (Waseda University). 4 indexed citations
13.
Ding, Chenchen, Masao Utiyama, & Eiichiro Sumita. (2016). Similar Southeast Asian Languages: Corpus-Based Case Study on Thai-Laotian and Malay-Indonesian.. International Conference on Computational Linguistics. 149–156. 1 indexed citations
14.
Ding, Chenchen, et al.. (2016). Inter-, Intra-, and Extra-Chunk Pre-Ordering for Statistical Japanese-to-English Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing. 15(3). 1–28. 4 indexed citations
15.
Utiyama, Masao, et al.. (2016). Introduction of the Asian Language Treebank. 1–6. 39 indexed citations
16.
Ding, Chenchen, Masao Utiyama, & Eiichiro Sumita. (2014). Document-level Re-ranking with Soft Lexical and Semantic Features for Statistical Machine Translation. Conference of the Association for Machine Translation in the Americas. 110–123. 1 indexed citations
17.
Ding, Chenchen, Ye Kyaw Thu, Masao Utiyama, Andrew Finch, & Eiichiro Sumita. (2014). Empirical Dependency-Based Head Finalization for Statistical Chinese-, English-, and French-to-Myanmar (Burmese) Machine Translation. IWSLT. 6 indexed citations
18.
Ding, Chenchen, Masao Utiyama, Eiichiro Sumita, & Mikio Yamamoto. (2014). Word Order Does NOT Differ Significantly Between Chinese and Japanese.. 77–82. 1 indexed citations
19.
Ding, Chenchen & Mikio Yamamoto. (2013). An Unsupervised Parameter Estimation Algorithm for a Generative Dependency N-gram Language Model. International Joint Conference on Natural Language Processing. 516–524. 3 indexed citations
20.
Ding, Chenchen, Takashi Inui, & Mikio Yamamoto. (2011). Long-distance hierarchical structure transformation rules utilizing function words.. IWSLT. 159–166. 1 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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