Junseok Song

19 total papers · 575 total citations
15 papers, 455 citations indexed

About

Junseok Song is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Junseok Song has authored 15 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 8 papers in Energy Engineering and Power Technology. Recurrent topics in Junseok Song's work include Hybrid Renewable Energy Systems (8 papers), Advanced Battery Technologies Research (8 papers) and Microgrid Control and Optimization (5 papers). Junseok Song is often cited by papers focused on Hybrid Renewable Energy Systems (8 papers), Advanced Battery Technologies Research (8 papers) and Microgrid Control and Optimization (5 papers). Junseok Song collaborates with scholars based in United States, South Korea and Türkiye. Junseok Song's co-authors include Alexis Kwasinski, Ratnesh Sharma, Vaidyanathan Krishnamurthy, Erkan Dursun, Osman Kılıç, M. Süha Yazici, Mohammad Chehreghani Bozchalui, R. Molina, Ruichen Zhao and Hee Yong Youn and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy and IEEE Transactions on Smart Grid.

In The Last Decade

Junseok Song

15 papers receiving 439 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junseok Song 324 187 145 143 67 15 455
Himadri Lala 322 1.0× 172 0.9× 64 0.4× 210 1.5× 101 1.5× 18 469
Navid Mousavi 392 1.2× 271 1.4× 64 0.4× 116 0.8× 38 0.6× 14 480
Faeza Hafiz 371 1.1× 187 1.0× 75 0.5× 54 0.4× 21 0.3× 22 412
Jesus Beyza 225 0.7× 108 0.6× 36 0.2× 128 0.9× 61 0.9× 25 410
Abou‐Hashema M. El‐Sayed 357 1.1× 218 1.2× 41 0.3× 158 1.1× 98 1.5× 29 525
Jennie Jorgenson 285 0.9× 82 0.4× 42 0.3× 65 0.5× 31 0.5× 17 450
M. Tanrioven 386 1.2× 197 1.1× 125 0.9× 110 0.8× 50 0.7× 31 539
Susana Estefany De León Aldaco 377 1.2× 171 0.9× 80 0.6× 58 0.4× 29 0.4× 38 539
Rudi Kaiser 400 1.2× 185 1.0× 391 2.7× 120 0.8× 40 0.6× 7 529
Abdullah Asuhaimi bin Mohd Zin 369 1.1× 213 1.1× 31 0.2× 74 0.5× 56 0.8× 15 460

Countries citing papers authored by Junseok Song

Since Specialization
Citations

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

Fields of papers citing papers by Junseok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junseok Song

This figure shows the co-authorship network connecting the top 25 collaborators of Junseok Song. A scholar is included among the top collaborators of Junseok Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junseok Song. Junseok Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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