Yurong Song

About

Yurong Song is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Yurong Song has authored 53 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistical and Nonlinear Physics, 14 papers in Computer Networks and Communications and 11 papers in Modeling and Simulation. Recurrent topics in Yurong Song’s work include Complex Network Analysis Techniques (38 papers), Opinion Dynamics and Social Influence (28 papers) and COVID-19 epidemiological studies (11 papers). Yurong Song is often cited by papers focused on Complex Network Analysis Techniques (38 papers), Opinion Dynamics and Social Influence (28 papers) and COVID-19 epidemiological studies (11 papers). Yurong Song collaborates with scholars based in China, Australia and United States. Yurong Song's co-authors include Guo‐Ping Jiang, Jinde Cao, Haiyan Wang and Hao Gao and has published in prestigious journals such as Journal of Theoretical Biology, IEEE Access and Journal of Alloys and Compounds.

In The Last Decade

Fields of papers citing papers by Yurong Song

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 Yurong Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yurong Song may publish in the future.

Countries citing papers authored by Yurong Song

Since Specialization

Citations

This map shows the geographic impact of Yurong Song'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 Yurong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurong Song more than expected).

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