Young-Cheol Park

274 total papers · 988 total citations
141 papers, 733 citations indexed

About

Young-Cheol Park is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Young-Cheol Park has authored 141 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Signal Processing, 49 papers in Computational Mechanics and 46 papers in Electrical and Electronic Engineering. Recurrent topics in Young-Cheol Park's work include Speech and Audio Processing (59 papers), Advanced Adaptive Filtering Techniques (48 papers) and Advanced Power Amplifier Design (26 papers). Young-Cheol Park is often cited by papers focused on Speech and Audio Processing (59 papers), Advanced Adaptive Filtering Techniques (48 papers) and Advanced Power Amplifier Design (26 papers). Young-Cheol Park collaborates with scholars based in South Korea, United States and China. Young-Cheol Park's co-authors include J.S. Kenney, Dae Hee Youn, Kate A. Remley, Sangmin Lee, Dylan F. Williams, Jeffrey A. Jargon, Paul D. Hale, Chih‐Ming Wang, Tae‐Soo Chon and Young‐Seuk Park and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Microwave Theory and Techniques and Ecological Modelling.

In The Last Decade

Young-Cheol Park

120 papers receiving 692 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-Cheol Park 315 243 234 102 100 141 733
Benjamin B. Bauer 110 0.3× 110 0.5× 79 0.3× 79 0.8× 220 2.2× 57 645
Peidong Wang 305 1.0× 129 0.5× 97 0.4× 33 0.3× 74 0.7× 65 723
Hirofumi Nakajima 426 1.4× 114 0.5× 160 0.7× 62 0.6× 52 0.5× 47 762
Yuji Hasegawa 501 1.6× 112 0.5× 161 0.7× 91 0.9× 49 0.5× 48 741
Monika Agrawal 381 1.2× 275 1.1× 89 0.4× 51 0.5× 86 0.9× 126 887
Shun‐Hsyung Chang 78 0.2× 417 1.7× 28 0.1× 26 0.3× 146 1.5× 130 900
Peter Jančovič 403 1.3× 126 0.5× 44 0.2× 47 0.5× 102 1.0× 86 809
Jing Hu 80 0.3× 47 0.2× 41 0.2× 44 0.4× 54 0.5× 58 834
Juan C. Sánchez 91 0.3× 86 0.4× 122 0.5× 8 0.1× 240 2.4× 88 771
Zhong Liu 49 0.2× 261 1.1× 71 0.3× 45 0.4× 63 0.6× 87 738

Countries citing papers authored by Young-Cheol Park

Since Specialization
Citations

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

Fields of papers citing papers by Young-Cheol Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Cheol Park

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