Yu-Chen Lin

37 total papers · 769 total citations
23 papers, 584 citations indexed

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 23 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Molecular Biology and 5 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 Chung‐Yi Wu, Chi‐Huey Wong, Hsinyu Lee, Ping Lü, Mei Qin, Grit Sandig, Thomas H. Rushmore, Magang Shou, A. David Rodrigues and Cuyue Tang 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

Yu-Chen Lin

21 papers receiving 568 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu-Chen Lin 321 160 75 63 60 23 584
Tatsuji Matsuoka 359 1.1× 117 0.7× 75 1.0× 23 0.4× 90 1.5× 20 591
Sibo Jiang 295 0.9× 154 1.0× 41 0.5× 30 0.5× 19 0.3× 25 603
Ariane Nunes‐Alves 410 1.3× 78 0.5× 35 0.5× 17 0.3× 28 0.5× 27 698
Arménio Jorge Moura Barbosa 368 1.1× 59 0.4× 18 0.2× 69 1.1× 36 0.6× 27 654
Samer Haidar 231 0.7× 85 0.5× 66 0.9× 12 0.2× 18 0.3× 27 537
Rajendra Bhadane 298 0.9× 134 0.8× 48 0.6× 15 0.2× 33 0.6× 23 696
Wolfgang Richter 199 0.6× 148 0.9× 14 0.2× 29 0.5× 64 1.1× 30 497
Xiaohui Jiang 339 1.1× 82 0.5× 32 0.4× 94 1.5× 13 0.2× 20 663
Oleg V. Stroganov 312 1.0× 129 0.8× 14 0.2× 21 0.3× 34 0.6× 40 643
G. I. Solyanik 272 0.8× 69 0.4× 33 0.4× 16 0.3× 25 0.4× 45 552

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Chen Lin. A scholar is included among the top collaborators of Yu-Chen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Chen Lin. Yu-Chen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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