Jun Song

About

Jun Song is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Song has authored 32 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Jun Song’s work include Network Security and Intrusion Detection (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Advanced Malware Detection Techniques (4 papers). Jun Song is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Advanced Malware Detection Techniques (4 papers). Jun Song collaborates with scholars based in China, United Kingdom and Australia. Jun Song's co-authors include Rajiv Ranjan, Lizhe Wang, Huanguo Zhang, Deepak Puthal, Prem Prakash Jayaraman, Sambit Kumar Mishra, Bibhudatta Sahoo, Albert Y. Zomaya, Fan Yang and Kaixin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Jun Song i

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Fields of papers citing papers by Jun 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 Jun Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Song may publish in the future.

Countries citing papers authored by Jun Song

Since Specialization

Citations

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

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