JaeSeung Song

76 papers and 1.5k indexed citations i.

About

JaeSeung Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, JaeSeung Song has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in JaeSeung Song’s work include IoT and Edge/Fog Computing (43 papers), Software-Defined Networks and 5G (13 papers) and Context-Aware Activity Recognition Systems (10 papers). JaeSeung Song is often cited by papers focused on IoT and Edge/Fog Computing (43 papers), Software-Defined Networks and 5G (13 papers) and Context-Aware Activity Recognition Systems (10 papers). JaeSeung Song collaborates with scholars based in South Korea, Finland and United Kingdom. JaeSeung Song's co-authors include Tarik Taleb, Ivan Farris, Guang Lu, Jae-Young Hwang, Philip Jacobs, Hyoungshick Kim, Jaeho Kim, Martin Bauer, Lewis Nkenyereye and Nak-Myoung Sung and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and Sensors.

In The Last Decade

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

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

Countries citing papers authored by JaeSeung Song

Since Specialization
Citations

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

Rankless by CCL
2025