Yuchen Fan

5 papers and 269 indexed citations i.

About

Yuchen Fan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuchen Fan has authored 5 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yuchen Fan’s work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Yuchen Fan is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Yuchen Fan collaborates with scholars based in China. Yuchen Fan's co-authors include Yao Qian, Frank K. Soong, Fenglong Xie, Haifeng Li, Lei He, L. Zhou, Jian Wan, Yuan Liu, Tianfan Fu and Kai Yu and has published in prestigious journals such as IEEE Access, Interspeech 2022 and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Co-authorship network of co-authors of Yuchen Fan i

Fields of papers citing papers by Yuchen Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuchen Fan

Since Specialization
Citations

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