Eakhwan Song

95 total papers · 1.7k total citations
59 papers, 1.3k citations indexed

About

Eakhwan Song is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Eakhwan Song has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 10 papers in Aerospace Engineering and 7 papers in Astronomy and Astrophysics. Recurrent topics in Eakhwan Song's work include Electromagnetic Compatibility and Noise Suppression (37 papers), Electromagnetic Compatibility and Measurements (16 papers) and Advancements in PLL and VCO Technologies (12 papers). Eakhwan Song is often cited by papers focused on Electromagnetic Compatibility and Noise Suppression (37 papers), Electromagnetic Compatibility and Measurements (16 papers) and Advancements in PLL and VCO Technologies (12 papers). Eakhwan Song collaborates with scholars based in South Korea, United States and Singapore. Eakhwan Song's co-authors include Joungho Kim, Hyun Ho Park, Hyungdong Lee, Kunwoo Park, Jun So Pak, Jonghyun Cho, Joohee Kim, Min-Suk Suh, Kwang-Yoo Byun and Taigon Song and has published in prestigious journals such as IEEE Access, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Eakhwan Song

53 papers receiving 1.3k citations

Hit Papers

High-Frequency Scalable E... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. High-Frequency Scalable Electrical Model and Analysis of a Through Silicon Via (TSV)
    2011 371 citations Joohee Kim, Jun So Pak et al. IEEE Transactions on Components Packaging and Manufacturing Technology profile →

Author Peers

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

Author Last Decade Papers Cites
Eakhwan Song 1.2k 169 129 83 76 59 1.3k
Ugo Reggiani 1.2k 1.0× 137 0.8× 44 0.3× 99 1.2× 30 0.4× 73 1.4k
Johannes A. Russer 1.0k 0.9× 294 1.7× 52 0.4× 121 1.5× 25 0.3× 168 1.2k
Hirobumi Saito 778 0.7× 410 2.4× 99 0.8× 47 0.6× 17 0.2× 130 1.1k
Christian Vollaire 1.1k 0.9× 293 1.7× 51 0.4× 124 1.5× 21 0.3× 101 1.3k
Charles Garner 692 0.6× 459 2.7× 358 2.8× 23 0.3× 50 0.7× 75 1.1k
En‐Xiao Liu 1.1k 0.9× 313 1.9× 114 0.9× 67 0.8× 15 0.2× 124 1.2k
Markus M. Becker 885 0.8× 90 0.5× 45 0.3× 84 1.0× 25 0.3× 75 1.7k
Franco Mastri 1.2k 1.0× 148 0.9× 57 0.4× 174 2.1× 11 0.1× 104 1.3k
Minghai Liu 1.3k 1.1× 292 1.7× 59 0.5× 170 2.0× 12 0.2× 106 1.5k
Jun Luo 462 0.4× 134 0.8× 196 1.5× 72 0.9× 56 0.7× 82 1.1k

Countries citing papers authored by Eakhwan Song

Since Specialization
Citations

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

Fields of papers citing papers by Eakhwan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eakhwan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Eakhwan Song. A scholar is included among the top collaborators of Eakhwan 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 Eakhwan Song. Eakhwan 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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2026