Yu‐Ru Lin

116 papers and 1.8k indexed citations i.

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 116 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 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 (29 papers), Opinion Dynamics and Social Influence (20 papers) and Data Visualization and Analytics (14 papers). Yu‐Ru Lin is often cited by papers focused on Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (20 papers) and Data Visualization and Analytics (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, Belle L. Tseng, Yün Chi, James P. Bagrow, David Lazer, Drew Margolin, Lada A. Adamic, Shenghuo Zhu and Xidao Wen 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 i

Fields of papers citing papers by Yu‐Ru Lin

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Yu‐Ru Lin. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025