Sejun Song

About

Sejun 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, Sejun Song has authored 39 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sejun Song’s work include Energy Efficient Wireless Sensor Networks (7 papers), Software-Defined Networks and 5G (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Sejun Song is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Software-Defined Networks and 5G (6 papers) and Human Mobility and Location-Based Analysis (5 papers). Sejun Song collaborates with scholars based in United States, South Korea and Saudi Arabia. Sejun Song's co-authors include Baek‐Young Choi, Seyed Yahya Nikouei, Timothy R. Faughnan, Xinjie Guan, Ronghua Xu, Yu Chen, Jiafeng Zhu, Ashwag Albakri, Lein Harn and Taesang Choi and has published in prestigious journals such as Sensors, IEEE Internet of Things Journal and IEEE Sensors Journal.

In The Last Decade

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

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

Countries citing papers authored by Sejun Song

Since Specialization

Citations

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

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