Yu-Chen Lin

19 papers and 540 indexed citations i.

About

Yu-Chen Lin is a scholar working on Signal Processing, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yu-Chen Lin has authored 19 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Yu-Chen Lin’s work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yu-Chen Lin is often cited by papers focused on Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yu-Chen Lin collaborates with scholars based in Taiwan, United States and Hong Kong. Yu-Chen Lin's co-authors include Chi‐Huey Wong, Chung‐Yi Wu, Hsinyu Lee, Magang Shou, Mei Qin, Cuyue Tang, Ping Lü, A. David Rodrigues, Thomas H. Rushmore and Grit Sandig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Yu-Chen Lin i

Fields of papers citing papers by Yu-Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu-Chen Lin

Since Specialization
Citations

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