Shuo Yu
About
Shuo Yu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems.
According to data from OpenAlex, Shuo Yu has authored 55 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Statistical and Nonlinear Physics and 10 papers in Information Systems. Recurrent topics in Shuo Yu’s work include Complex Network Analysis Techniques (26 papers), Advanced Graph Neural Networks (21 papers) and Bioinformatics and Genomic Networks (9 papers). Shuo Yu is often cited by papers focused on Complex Network Analysis Techniques (26 papers), Advanced Graph Neural Networks (21 papers) and Bioinformatics and Genomic Networks (9 papers). Shuo Yu collaborates with scholars based in China, Australia and United States. Shuo Yu's co-authors include Feng Xia, Ivan Lee, Xiangjie Kong, Jiaying Liu and Bo Xu and has published in prestigious journals such as IEEE Access, Environmental Research Letters and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Fields of papers citing papers by Shuo Yu
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 Shuo Yu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shuo Yu may publish in the future.
Countries citing papers authored by Shuo Yu
Since SpecializationCitations
This map shows the geographic impact of Shuo Yu'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 Shuo Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Yu more than expected).
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