Young-Hyun Jun

89 total papers · 1.5k total citations
58 papers, 647 citations indexed

About

Young-Hyun Jun is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Young-Hyun Jun has authored 58 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 19 papers in Biomedical Engineering and 13 papers in Computer Networks and Communications. Recurrent topics in Young-Hyun Jun's work include Advancements in PLL and VCO Technologies (24 papers), Low-power high-performance VLSI design (20 papers) and Analog and Mixed-Signal Circuit Design (19 papers). Young-Hyun Jun is often cited by papers focused on Advancements in PLL and VCO Technologies (24 papers), Low-power high-performance VLSI design (20 papers) and Analog and Mixed-Signal Circuit Design (19 papers). Young-Hyun Jun collaborates with scholars based in South Korea and United States. Young-Hyun Jun's co-authors include Bai‐Sun Kong, Lee‐Sup Kim, Kwang‐Il Park, Kinam Kim, Jae-Goo Lee, Joo Sun Choi, Chan-Kyung Kim, Kee-Won Kwon, Joo-Sun Choi and Kye-Hyun Kyung and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Electronics Letters and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Young-Hyun Jun

53 papers receiving 611 citations

Author Peers

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

Author Last Decade Papers Cites
Young-Hyun Jun 571 174 120 108 61 58 647
S. Tanaka 517 0.9× 147 0.8× 71 0.6× 104 1.0× 61 1.0× 51 619
Rasit Onur Topaloglu 507 0.9× 115 0.7× 42 0.3× 158 1.5× 44 0.7× 70 685
Longyang Lin 495 0.9× 247 1.4× 52 0.4× 75 0.7× 17 0.3× 84 588
G. Taylor 718 1.3× 229 1.3× 54 0.5× 188 1.7× 30 0.5× 53 785
Maryam Ashouei 368 0.6× 261 1.5× 122 1.0× 145 1.3× 15 0.2× 42 567
Resve Saleh 628 1.1× 137 0.8× 104 0.9× 282 2.6× 38 0.6× 36 731
Peiyi Zhao 513 0.9× 211 1.2× 51 0.4× 112 1.0× 79 1.3× 43 629
Anh Tuan 504 0.9× 73 0.4× 69 0.6× 162 1.5× 33 0.5× 79 648
Mohammad Maymandi‐Nejad 620 1.1× 448 2.6× 48 0.4× 73 0.7× 28 0.5× 64 741
J. Bhasker 273 0.5× 202 1.2× 68 0.6× 244 2.3× 38 0.6× 37 713

Countries citing papers authored by Young-Hyun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Young-Hyun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Hyun Jun. 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 Young-Hyun Jun. The network helps show where Young-Hyun Jun may publish in the future.

Co-authorship network of co-authors of Young-Hyun Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Hyun Jun. A scholar is included among the top collaborators of Young-Hyun Jun 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 Young-Hyun Jun. Young-Hyun Jun 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