Feng Lin

123 papers and 1.3k indexed citations i.

About

Feng Lin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Lin has authored 123 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 35 papers in Signal Processing and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Lin’s work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (13 papers) and Music and Audio Processing (11 papers). Feng Lin is often cited by papers focused on Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (13 papers) and Music and Audio Processing (11 papers). Feng Lin collaborates with scholars based in China, United States and Hong Kong. Feng Lin's co-authors include Wenyao Xu, Aosen Wang, Yan Zhuang, Machiko Tomita, Kui Ren, Nabil Alshurafa, Chen Song, Christopher S. Foote, David A. Loegering and Arthur N. Mayeno and has published in prestigious journals such as Science, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Feng Lin i

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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