Guojie Song
About
Guojie Song is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems.
According to data from OpenAlex, Guojie Song has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 18 papers in Statistical and Nonlinear Physics and 12 papers in Information Systems. Recurrent topics in Guojie Song’s work include Advanced Graph Neural Networks (25 papers), Complex Network Analysis Techniques (18 papers) and Traffic Prediction and Management Techniques (8 papers). Guojie Song is often cited by papers focused on Advanced Graph Neural Networks (25 papers), Complex Network Analysis Techniques (18 papers) and Traffic Prediction and Management Techniques (8 papers). Guojie Song collaborates with scholars based in China, United States and Hong Kong. Guojie Song's co-authors include Kunqing Xie, Yilun Jin, Haikun Hong, Chuan Shi and Qingqing Long and has published in prestigious journals such as Scientific Reports, Neural Computation and Neurocomputing.
In The Last Decade
Fields of papers citing papers by Guojie Song
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 Guojie Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guojie Song may publish in the future.
Countries citing papers authored by Guojie Song
Since SpecializationCitations
This map shows the geographic impact of Guojie 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 Guojie Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guojie Song more than expected).
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