Ju Bin Song

1.5k citations
55 papers · 1.1k · h-index 15

Impact in

Papers in

Ju Bin Song

50 papers receiving 1.1k citations

Peers

Ju Bin Song
Comparison fields: 5 of 63
  • Computer Networks and Communications 513
  • Control and Systems Engineering 383
  • Electrical and Electronic Engineering 856
  • Automotive Engineering 122
  • Energy Engineering and Power Technology 11
Replace Zefan Tang with:
Zefan Tang United States
Chandra Bajracharya United States
Vaibhav Bajpai Germany
Sergio Salinas United States
Florin Ciucu Germany
Chao Fang China
S. Talukdar United States
D.D. Sabin United States
Shi Yan China
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Citations per field
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Zefan Tang · 1×
Citations per year

Countries citing papers authored by Ju Bin Song

Since Specialization
Citations

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

Fields of papers citing papers by Ju Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Bin 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 Ju Bin Song. The network helps show where Ju Bin Song may publish in the future.

Co-authors

The 25 scholars most cited alongside Ju Bin 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 Ju Bin Song Line = papers co-authored together Ju Bin Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014131
2 2012130
3 2014118
4 2012112
5 201290
6 201468
7 201658
8 200849
9 201237
10 201532
11 201329
12 201226
13 201224
14 201023
15 201014
16 201114
17 201414
18 200812
19 201311
20 201311

About Ju Bin Song

Ju Bin Song is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (20 papers), Advanced MIMO Systems Optimization (11 papers), Smart Grid Security and Resilience (10 papers), Cooperative Communication and Network Coding (9 papers), Optical Network Technologies (7 papers), Advanced Photonic Communication Systems (6 papers), Wireless Communication Networks Research (5 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Computer Networks and Communications (513 citations), Control and Systems Engineering (383 citations), Electrical and Electronic Engineering (856 citations), Automotive Engineering (122 citations) and Energy Engineering and Power Technology (11 citations). Ju Bin Song has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Zhu Han, Hung Khanh Nguyen, Husheng Li, Aleksandar Dimitrovski, Hyundong Shin, Husheng Li, Tamer Başar, Matthew Trinkle, Zhenghao Zhang and Husheng Li. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Letters and IEEE Transactions on Smart Grid.

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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