Yu‐Ru Lin

114 papers and 1.6k indexed citations
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About

Yu‐Ru Lin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yu‐Ru Lin has authored 114 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistical and Nonlinear Physics, 27 papers in Artificial Intelligence and 26 papers in Sociology and Political Science. Recurrent topics in Yu‐Ru Lin’s work include Complex Network Analysis Techniques (25 papers), Opinion Dynamics and Social Influence (19 papers) and Social Media and Politics (14 papers). Yu‐Ru Lin is often cited by papers focused on Complex Network Analysis Techniques (25 papers), Opinion Dynamics and Social Influence (19 papers) and Social Media and Politics (14 papers). Yu‐Ru Lin collaborates with scholars based in United States, Taiwan and China. Yu‐Ru Lin's co-authors include Nan Cao, Hari Sundaram, David Lazer, Drew Margolin, James P. Bagrow, Yün Chi, Belle L. Tseng, Shenghuo Zhu, Xidao Wen and Huamin Qu and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Macromolecules.

In The Last Decade

Co-authorship network of co-authors of Yu‐Ru Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ru Lin. A scholar is included among the top collaborators of Yu‐Ru 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‐Ru Lin. Yu‐Ru Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Yu‐Ru Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu‐Ru Lin

Since Specialization
Citations

This map shows the geographic impact of Yu‐Ru 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‐Ru 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‐Ru 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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2026