Song Guo
About
Song Guo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence.
According to data from OpenAlex, Song Guo has authored 573 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 372 papers in Computer Networks and Communications, 158 papers in Electrical and Electronic Engineering and 125 papers in Artificial Intelligence. Recurrent topics in Song Guo’s work include IoT and Edge/Fog Computing (130 papers), Caching and Content Delivery (82 papers) and Privacy-Preserving Technologies in Data (72 papers). Song Guo is often cited by papers focused on IoT and Edge/Fog Computing (130 papers), Caching and Content Delivery (82 papers) and Privacy-Preserving Technologies in Data (72 papers). Song Guo collaborates with scholars based in China, Hong Kong and Japan. Song Guo's co-authors include Kun Wang, Deze Zeng, Huawei Huang, Peng Li and Weifa Liang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biochemical and Biophysical Research Communications.
In The Last Decade
Fields of papers citing papers by Song Guo
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 Song Guo. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Guo may publish in the future.
Countries citing papers authored by Song Guo
Since SpecializationCitations
This map shows the geographic impact of Song Guo'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 Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Guo more than expected).
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