Younghyun Jo

1.0k total citations · 1 hit paper
11 papers, 535 citations indexed

About

Younghyun Jo is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Younghyun Jo has authored 11 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 2 papers in Media Technology. Recurrent topics in Younghyun Jo's work include Advanced Image Processing Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Plasma Diagnostics and Applications (3 papers). Younghyun Jo is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Plasma Diagnostics and Applications (3 papers). Younghyun Jo collaborates with scholars based in South Korea, Israel and Ukraine. Younghyun Jo's co-authors include Seon Joo Kim, Seoung Wug Oh, Jaeyeon Kang, Péter Vajda, V. S. Mikhailenko, Hae June Lee, Sang Ki Nam, Kyung-Hyun Kim, Chong‐Yun Kang and Hong Wang and has published in prestigious journals such as Journal of Physics D Applied Physics, Physics of Plasmas and BMB Reports.

In The Last Decade

Younghyun Jo

11 papers receiving 525 citations

Hit Papers

Deep Video Super-Resolution Network Using Dynamic Upsampl... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Younghyun Jo South Korea 8 471 226 34 21 17 11 535
Yuting Tang China 5 390 0.8× 269 1.2× 15 0.4× 12 0.6× 13 0.8× 16 449
Qiqin Dai United States 6 486 1.0× 225 1.0× 15 0.4× 14 0.7× 15 0.9× 11 538
Armin Kappeler United States 5 471 1.0× 215 1.0× 10 0.3× 35 1.7× 16 0.9× 7 533
Tianrun Shen China 6 262 0.6× 84 0.4× 20 0.6× 8 0.4× 8 0.5× 7 344
Jae-Seok Choi South Korea 9 307 0.7× 184 0.8× 21 0.6× 10 0.5× 15 0.9× 12 343
Tom E. Bishop United Kingdom 7 467 1.0× 243 1.1× 19 0.6× 45 2.1× 19 1.1× 13 525
Jae Woong Soh South Korea 11 495 1.1× 278 1.2× 14 0.4× 13 0.6× 23 1.4× 20 543
Haofeng Huang China 6 598 1.3× 247 1.1× 23 0.7× 31 1.5× 7 0.4× 12 656
Tuan Q. Pham Netherlands 7 358 0.8× 134 0.6× 13 0.4× 29 1.4× 13 0.8× 12 425
Ali Mosleh Canada 10 218 0.5× 99 0.4× 29 0.9× 15 0.7× 5 0.3× 15 283

Countries citing papers authored by Younghyun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Younghyun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younghyun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Younghyun Jo. A scholar is included among the top collaborators of Younghyun Jo 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 Younghyun Jo. Younghyun Jo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Yoo, Eun‐Jung, et al.. (2025). Immune tolerance to foreign antigens in the intestine: mechanisms mediated by CD4 T cells. BMB Reports. 58(4). 158–168. 1 indexed citations
2.
Jo, Younghyun, et al.. (2023). Computational approach for plasma process optimization combined with deep learning model. Journal of Physics D Applied Physics. 56(34). 344001–344001. 9 indexed citations
3.
Jo, Younghyun & Seon Joo Kim. (2021). Practical Single-Image Super-Resolution Using Look-Up Table. 691–700. 40 indexed citations
4.
Jo, Younghyun, et al.. (2021). SRFlow-DA: Super-Resolution Using Normalizing Flow with Deep Convolutional Block. 364–372. 16 indexed citations
5.
Jo, Younghyun, Seoung Wug Oh, Péter Vajda, & Seon Joo Kim. (2021). Tackling the Ill-Posedness of Super-Resolution through Adaptive Target Generation. 16231–16240. 37 indexed citations
6.
Jo, Younghyun, et al.. (2020). Investigating Loss Functions for Extreme Super-Resolution. 1705–1712. 48 indexed citations
7.
Jo, Younghyun, Seoung Wug Oh, Jaeyeon Kang, & Seon Joo Kim. (2018). Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. 3224–3232. 360 indexed citations breakdown →
8.
Jo, Younghyun & Eunkyoung Lee. (2016). Design of Information Security Management for Industrial Control System. 311–314. 1 indexed citations
9.
Mikhailenko, V. S., et al.. (2015). Nonlinear shearing modes approach to the diocotron instability of a planar electron strip. Physics of Plasmas. 22(9). 3 indexed citations
10.
Jo, Younghyun, et al.. (2014). Non-modal analysis of the diocotron instability for cylindrical geometry with conducting boundary. Physics of Plasmas. 21(5). 13 indexed citations
11.
Lee, Seung‐Taek, Younghyun Jo, Hee‐Eun Kim, et al.. (2010). Grain boundary segregation and microwave dielectric properties of low loss Mg1·5Zn0·5SiO4ceramics containing Bi2O3. Advances in Applied Ceramics Structural Functional and Bioceramics. 109(6). 367–372. 7 indexed citations

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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