Jun Young Jeong

427 total citations
13 papers, 50 citations indexed

About

Jun Young Jeong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Anesthesiology and Pain Medicine. According to data from OpenAlex, Jun Young Jeong has authored 13 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Jun Young Jeong's work include Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (7 papers) and Advanced Image Processing Techniques (4 papers). Jun Young Jeong is often cited by papers focused on Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (7 papers) and Advanced Image Processing Techniques (4 papers). Jun Young Jeong collaborates with scholars based in South Korea, Poland and France. Jun Young Jeong's co-authors include Dawid Mieloch, Gwangsoon Lee, Adrian Dziembowski, Joël Jung, Basel Salahieh, Jae‐Gon Kim, Marek Domański, Jin‐Ok Jeong, Jeong Woo Lee and Si Wan Choi and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting and SoftwareX.

In The Last Decade

Jun Young Jeong

12 papers receiving 46 citations

Peers

Jun Young Jeong
Urvang Joshi United States
Jaesung Rim South Korea
Pauline Luc United Kingdom
Nayan Singhal United States
Jun Young Jeong
Citations per year, relative to Jun Young Jeong Jun Young Jeong (= 1×) peers Maciej Szymkowski

Countries citing papers authored by Jun Young Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Young Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

13 of 13 papers shown
1.
Mieloch, Dawid, et al.. (2024). ECPC – versatile multicamera system calibration framework for immersive video applications. SoftwareX. 26. 101669–101669. 1 indexed citations
2.
Dziembowski, Adrian, Dawid Mieloch, Jun Young Jeong, & Gwangsoon Lee. (2023). Immersive Video Postprocessing for Efficient Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 33(8). 4349–4361. 6 indexed citations
3.
Mieloch, Dawid, et al.. (2023). A New Approach to Decoder-Side Depth Estimation in Immersive Video Transmission. IEEE Transactions on Broadcasting. 69(4). 951–965.
4.
Mieloch, Dawid, Adrian Dziembowski, Jun Young Jeong, & Gwangsoon Lee. (2023). On the future of decoder-side depth estimation in MPEG immersive video coding. 354–354. 1 indexed citations
5.
Mieloch, Dawid, et al.. (2022). Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6360–6374. 15 indexed citations
6.
Mieloch, Dawid, Adrian Dziembowski, Marek Domański, Gwangsoon Lee, & Jun Young Jeong. (2022). Color-dependent pruning in immersive video coding. Digital Library (University of West Bohemia). 30(1-2). 91–98. 1 indexed citations
7.
Lee, Gwangsoon, et al.. (2021). Efficient Patch Merging for Atlas Construction in 3DoF+ Video Coding. IEICE Transactions on Information and Systems. E104.D(3). 477–480. 3 indexed citations
8.
Mieloch, Dawid, Adrian Dziembowski, Jakub Stankowski, et al.. (2020). [MPEG-I Visual] Immersive video depth estimation. 1 indexed citations
9.
Dziembowski, Adrian, Dawid Mieloch, Marek Domański, Gwangsoon Lee, & Jun Young Jeong. (2020). MIV CE3.2: Color-based patch analysis. 1 indexed citations
10.
Dziembowski, Adrian, Dawid Mieloch, Marek Domański, Gwangsoon Lee, & Jun Young Jeong. (2020). Immersive Video CE1.2: Geometry scaling. 3 indexed citations
11.
Domański, Marek, et al.. (2019). Technical description of proposal for Call for Proposals on 3DoF+ Visual prepared by Poznań University of Technology (PUT) and Electronics and Telecommunications Research Institute (ETRI). 3 indexed citations
12.
Lee, Jeong Woo, Min Soo Lee, Jeong Hee Kim, et al.. (2002). Clinical characteristics of patients with variant angina. The Korean Journal of Internal Medicine. 63(2). 195–202. 11 indexed citations
13.
Jeong, Jun Young, Min Su Lee, Jeong Hee Kim, et al.. (2002). The Study of Coronary Spasm by Follow-up Coronary Angiography in Variant Angina. Sunhwan'gi. 32(9). 791–791. 4 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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