Sejun Song

1.2k citations
82 papers · 781 · h-index 15

Impact in

    • Software-Defined Networks and 5G
    • IoT and Edge/Fog Computing
    • Network Security and Intrusion Detection
    • Caching and Content Delivery
    • Energy Efficient Wireless Sensor Networks
    • Cloud Computing and Resource Management

Papers in

Sejun Song

76 papers receiving 745 citations

Peers

Sejun Song
Comparison fields: 5 of 76
  • Computer Networks and Communications 518
  • Information Systems 203
  • Computer Vision and Pattern Recognition 154
  • Transportation 29
  • Electrical and Electronic Engineering 235
Replace Lanlan Rui with:
Lanlan Rui China
Daniel F. Macedo Brazil
Aref Meddeb Tunisia
Hyunbum Kim South Korea
Diogo Gomes Portugal
Anwesha Mukherjee India
Yuming Ge China
Decheng Zuo China
Augusto Neto Brazil
Sejun Song relative to Lanlan Rui China Lanlan Rui's profile →
Citations per field
00.5×3.6×
Lanlan Rui · 1×
Citations per year

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).

Fields of papers citing papers by Sejun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sejun Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sejun Song. The network helps show where Sejun Song may publish in the future.

Co-authors

The 25 scholars most cited alongside Sejun Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sejun Song Line = papers co-authored together Sejun Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 201675
3 201455
4 201647
5 201746
6 201939
7 201528
8 201921
9 201918
10
NEOD: Network Embedded On-line Disaster management framework for Software Defined Networking
201318
11 201417
12 201615
13 201415
14 201214
15 201314
16 202013
17 200713
18 202210
19 201910
20 202110

About Sejun Song

Sejun Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 82 papers that have together received 781 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (23 papers), Network Security and Intrusion Detection (13 papers), Energy Efficient Wireless Sensor Networks (11 papers), Mobile Ad Hoc Networks (9 papers), Caching and Content Delivery (9 papers), Advanced Optical Network Technologies (8 papers), Video Surveillance and Tracking Methods (8 papers) and Cloud Computing and Resource Management (8 papers). The work is most often cited by research in Computer Networks and Communications (518 citations), Information Systems (203 citations), Computer Vision and Pattern Recognition (154 citations), Transportation (29 citations) and Electrical and Electronic Engineering (235 citations). Sejun Song has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include Baek‐Young Choi, Xinjie Guan, Yu Chen, Seyed Yahya Nikouei, Taesang Choi, Jiafeng Zhu, Ashwag Albakri, Chin‐Tser Huang, Lein Harn and Ronghua Xu. Their work appears in journals such as ETRI Journal, IEEE Transactions on Services Computing, Journal of Central South University, Computer Communications and IEEE Transactions on Multimedia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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