Sejun Song

1.3k citations
93 papers · 917 · h-index 17

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

87 papers receiving 876 citations

Peers

Sejun Song
Comparison fields: 5 of 79
  • Computer Networks and Communications 604
  • Information Systems 243
  • Computer Vision and Pattern Recognition 182
  • Transportation 35
  • Electrical and Electronic Engineering 267
Replace Baek‐Young Choi with:
Baek‐Young Choi United States
Lanlan Rui China
Daniel F. Macedo Brazil
Hyunbum Kim South Korea
Aref Meddeb Tunisia
Atay Özgövde Türkiye
Dan Tao China
Binod Vaidya Canada
Victor Bahl United States
Augusto Neto Brazil
Sejun Song relative to Baek‐Young Choi United States Baek‐Young Choi's profile →
Citations per field
00.5×1.5×1.9×
Baek‐Young Choi · 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 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201682
2 201882
3 201461
4 201650
5 201746
6 201943
7 201529
8 201628
9 201922
10 201921
11
NEOD: Network Embedded On-line Disaster management framework for Software Defined Networking
201320
12 201620
13 201418
14 202017
15 201317
16 201416
17 200716
18 201215
19 202211
20 202111

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 93 papers that have together received 917 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (25 papers), Energy Efficient Wireless Sensor Networks (15 papers), Network Security and Intrusion Detection (15 papers), Caching and Content Delivery (12 papers), Mobile Ad Hoc Networks (11 papers), Advanced Optical Network Technologies (9 papers), Wireless Networks and Protocols (9 papers) and Cloud Computing and Resource Management (9 papers). The work is most often cited by research in Computer Networks and Communications (604 citations), Information Systems (243 citations), Computer Vision and Pattern Recognition (182 citations), Transportation (35 citations) and Electrical and Electronic Engineering (267 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, Chin‐Tser Huang, Jiafeng Zhu, Xinyue Ye, Lein Harn and Ashwag Albakri. Their work appears in journals such as ETRI Journal, Sensors, Journal of Central South University, IEEE Communications Letters and ACM Transactions on Computing Education.

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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