Nanxin Chen

26 papers and 1.8k indexed citations i.

About

Nanxin Chen is a scholar working on Artificial Intelligence, Signal Processing and Language and Linguistics. According to data from OpenAlex, Nanxin Chen has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Signal Processing and 2 papers in Language and Linguistics. Recurrent topics in Nanxin Chen’s work include Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (16 papers). Nanxin Chen is often cited by papers focused on Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (16 papers). Nanxin Chen collaborates with scholars based in United States, Japan and China. Nanxin Chen's co-authors include Shinji Watanabe, Shigeki Karita, Takaaki Hori, Najim Dehak, Tomoki Hayashi, Yanmin Qian, Jesús Villalba, Adithya Renduchintala, Yuya Unno and Matthew Wiesner and has published in prestigious journals such as IEEE Access, IEEE Signal Processing Letters and Speech Communication.

In The Last Decade

Co-authorship network of co-authors of Nanxin Chen i

Fields of papers citing papers by Nanxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nanxin 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 Nanxin Chen. The network helps show where Nanxin Chen may publish in the future.

Countries citing papers authored by Nanxin Chen

Since Specialization
Citations

This map shows the geographic impact of Nanxin 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 Nanxin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanxin Chen 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