Yu-Shi Lin

14 total papers · 827 total citations
13 papers, 250 citations indexed

About

Yu-Shi Lin is a scholar working on Artificial Intelligence, Molecular Biology and Biophysics. According to data from OpenAlex, Yu-Shi Lin has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Biophysics. Recurrent topics in Yu-Shi Lin's work include Cell Image Analysis Techniques (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Topic Modeling (4 papers). Yu-Shi Lin is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Topic Modeling (4 papers). Yu-Shi Lin collaborates with scholars based in Taiwan, Italy and United States. Yu-Shi Lin's co-authors include Chun‐Nan Hsu, Cheng-Ju Kuo, Yu-Ming Chang, I‐Fang Chung, Chung‐Chih Lin, Shou-De Lin, Yi‐Hung Huang, Yuh‐Show Tsai, Chien‐Yuan Wang and Hsiang‐Fu Yu and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Yu-Shi Lin

12 papers receiving 240 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-Shi Lin 149 123 42 32 31 13 250
Yihong Ding 167 1.1× 30 0.2× 17 0.4× 7 0.2× 50 1.6× 11 238
Raúl Giráldez 139 0.9× 187 1.5× 7 0.2× 3 0.1× 24 0.8× 15 323
Daniel Tunkelang 131 0.9× 28 0.2× 4 0.1× 25 0.8× 82 2.6× 16 294
Ivan Eggel 108 0.7× 86 0.7× 7 0.2× 4 0.1× 229 7.4× 22 310
Hao Liang 106 0.7× 10 0.1× 6 0.1× 13 0.4× 37 1.2× 17 172
M. Li 112 0.8× 36 0.3× 3 0.1× 18 0.6× 17 0.5× 10 258
Beatriz Pontes 137 0.9× 186 1.5× 6 0.1× 2 0.1× 27 0.9× 14 328
Shreya Shankar 102 0.7× 9 0.1× 10 0.2× 5 0.2× 61 2.0× 16 198
Mani Abedini 125 0.8× 31 0.3× 11 0.3× 1 0.0× 30 1.0× 18 213
Warner ten Kate 199 1.3× 31 0.3× 27 0.6× 52 1.7× 12 294

Countries citing papers authored by Yu-Shi Lin

Since Specialization
Citations

This map shows the geographic impact of Yu-Shi 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-Shi 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-Shi Lin more than expected).

Fields of papers citing papers by Yu-Shi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Shi Lin. A scholar is included among the top collaborators of Yu-Shi 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-Shi Lin. Yu-Shi 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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