Song Fu

About

Song Fu is a scholar working on Computer Networks and Communications, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Song Fu has authored 80 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 20 papers in Computational Mechanics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Song Fu’s work include Cloud Computing and Resource Management (12 papers), Advanced Neural Network Applications (11 papers) and Computational Fluid Dynamics and Aerodynamics (10 papers). Song Fu is often cited by papers focused on Cloud Computing and Resource Management (12 papers), Advanced Neural Network Applications (11 papers) and Computational Fluid Dynamics and Aerodynamics (10 papers). Song Fu collaborates with scholars based in United States, China and United Kingdom. Song Fu's co-authors include Sihai Tang, Jingda Guo and Cheng‐Zhong Xu and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Future Generation Computer Systems.

In The Last Decade

Fields of papers citing papers by Song Fu

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

Countries citing papers authored by Song Fu

Since Specialization

Citations

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

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