Jun Cai

About

Jun Cai is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Cai has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Cai’s work include Software-Defined Networks and 5G (13 papers), Network Security and Intrusion Detection (12 papers) and IoT and Edge/Fog Computing (8 papers). Jun Cai is often cited by papers focused on Software-Defined Networks and 5G (13 papers), Network Security and Intrusion Detection (12 papers) and IoT and Edge/Fog Computing (8 papers). Jun Cai collaborates with scholars based in China, Canada and United States. Jun Cai's co-authors include Waixi Liu, Chun Shan and Huimin Zhao and has published in prestigious journals such as Bioresource Technology, Expert Systems with Applications and Sensors.

In The Last Decade

Fields of papers citing papers by Jun Cai

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

Countries citing papers authored by Jun Cai

Since Specialization

Citations

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

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