Chenchen Ding

28 papers and 118 indexed citations i.

About

Chenchen Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Chenchen Ding has authored 28 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Chenchen Ding’s work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (11 papers). Chenchen Ding is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Speech Recognition and Synthesis (11 papers). Chenchen Ding collaborates with scholars based in Japan, China and Czechia. Chenchen Ding's co-authors include Eiichiro Sumita, Masao Utiyama, Sheng Li, Ye Kyaw Thu, Jianwu Dang, Longbiao Wang, Win Pa Pa, Mikio Yamamoto, Raj Dabre and Sadao Kurohashi and has published in prestigious journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Chenchen Ding i

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.

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).

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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2025