Yuan‐Pin Lin

36 papers and 1.4k indexed citations i.

About

Yuan‐Pin Lin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuan‐Pin Lin has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuan‐Pin Lin’s work include EEG and Brain-Computer Interfaces (33 papers), Neural dynamics and brain function (22 papers) and Emotion and Mood Recognition (10 papers). Yuan‐Pin Lin is often cited by papers focused on EEG and Brain-Computer Interfaces (33 papers), Neural dynamics and brain function (22 papers) and Emotion and Mood Recognition (10 papers). Yuan‐Pin Lin collaborates with scholars based in Taiwan, United States and Lithuania. Yuan‐Pin Lin's co-authors include Tzyy‐Ping Jung, Jyh‐Horng Chen, Jeng‐Ren Duann, Shyh‐Kang Jeng, Chi‐Hong Wang, Chin‐Teng Lin, Yijun Wang, Chun-Shu Wei, Yi‐Hsuan Yang and Li‐Wei Ko and has published in prestigious journals such as NeuroImage, Sensors and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Yuan‐Pin Lin i

Fields of papers citing papers by Yuan‐Pin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuan‐Pin Lin

Since Specialization
Citations

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