Younghee Kwon

1.4k total citations · 1 hit paper
10 papers, 865 citations indexed

About

Younghee Kwon is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Food Science. According to data from OpenAlex, Younghee Kwon has authored 10 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Food Science. Recurrent topics in Younghee Kwon's work include Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Vision and Imaging (3 papers). Younghee Kwon is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Vision and Imaging (3 papers). Younghee Kwon collaborates with scholars based in Germany, South Korea and United States. Younghee Kwon's co-authors include Kwang In Kim, Michael Wong, Lin Liang, Kwang In Kim, Christian Theobalt, James Tompkin, Jin Hyoung Kim, Jin Kim, Hyesun Hwang and Ji Young Park and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the VLDB Endowment and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).

In The Last Decade

Younghee Kwon

9 papers receiving 827 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior

2010 694 citations Younghee Kwon et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Younghee Kwon Germany	5	753	467	71	70	45	10	865
Xiangjun Zhang China	8	464 0.6×	205 0.4×	24 0.3×	46 0.7×	58 1.3×	15	565
Hongyi Liu China	10	513 0.7×	462 1.0×	54 0.8×	11 0.2×	39 0.9×	53	752
Dillon Sharlet United States	5	575 0.8×	211 0.5×	12 0.2×	51 0.7×	17 0.4×	8	723
Xiaogang Xu China	13	606 0.8×	163 0.3×	30 0.4×	11 0.2×	21 0.5×	32	768
Tong Qiao China	18	718 1.0×	208 0.4×	46 0.6×	45 0.6×	17 0.4×	60	917
Minghua Wang China	12	260 0.3×	352 0.8×	32 0.5×	16 0.2×	134 3.0×	32	538
Maria Paula Queluz Portugal	13	496 0.7×	122 0.3×	21 0.3×	108 1.5×	10 0.2×	76	731
Manfred Ernst United States	9	381 0.5×	82 0.2×	14 0.2×	25 0.4×	177 3.9×	14	580
Anil Singh Parihar India	16	628 0.8×	286 0.6×	29 0.4×	22 0.3×	4 0.1×	74	803

Countries citing papers authored by Younghee Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Younghee Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Younghee Kwon

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

All Works

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10 of 10 papers shown

1.

Kwon, Younghee, et al.. (2024). A Study of the Distribution of <i>Listeria</i> spp. in Fresh Agricultural Products Distributed in the Busan Area, the Republic of Korea. Journal of Food Hygiene and Safety. 39(1). 9–15. 1 indexed citations

2.

Hwang, Hyesun, et al.. (2024). A Study of Microbial Contamination in Fresh-Cut and Ready-to-Eat Foods Purchased from Online Markets. Journal of Food Hygiene and Safety. 39(4). 335–342.

3.

Kwon, Younghee, et al.. (2015). Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(9). 1792–1805. 40 indexed citations

4.

Kwon, Younghee, Kwang In Kim, Jin Kim, & Christian Theobalt. (2012). Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 14.1–14.12. 2 indexed citations

5.

Kim, Kwang In, et al.. (2011). Efficient Learning-based Image Enhancement : Application to Compression Artifact Removal and Super-resolution. MPG.PuRe (Max Planck Society). 2 indexed citations

6.

Liang, Lin, et al.. (2011). Tenzing a SQL implementation on the MapReduce framework. Proceedings of the VLDB Endowment. 4(12). 1318–1327. 85 indexed citations

7.

Kwon, Younghee, et al.. (2010). Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(6). 1127–1133. 694 indexed citations breakdown →

8.

Kim, Kwang In & Younghee Kwon. (2008). Example-based learning for single-image super-resolution and JPEG artifact removal. Lancaster EPrints (Lancaster University). 173. 30 indexed citations

9.

Lee, Seong‐Hun, et al.. (2006). Stroke Verification with Gray-level Image for Hangul Video Text Recognition. 32. 1074–1077. 1 indexed citations

10.

Kwon, Younghee, et al.. (2005). An example-based prior model for text image super-resolution. 374–378 Vol. 1. 10 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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