Yun Luo
About
Yun Luo is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence.
According to data from OpenAlex, Yun Luo has authored 32 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistical and Nonlinear Physics, 7 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Yun Luo’s work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (7 papers) and Arsenic contamination and mitigation (5 papers). Yun Luo collaborates with scholars based in China, United States and Sweden. Yun Luo's co-authors include Jeffrey G. Catalano, Daniel E. Giammar, Stan Z. Li, Changbin Yu and Shiliang Su and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Geology.
In The Last Decade
Fields of papers citing papers by Yun Luo
Since SpecializationEngineeringComputer 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 Yun Luo. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yun Luo may publish in the future.
Countries citing papers authored by Yun Luo
Since SpecializationCitations
This map shows the geographic impact of Yun Luo'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 Yun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Luo more than expected).
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