Young-Yoon Lee

691 citations
30 papers · 441 · h-index 11

Impact in

Papers in

Young-Yoon Lee

26 papers receiving 418 citations

Peers

Young-Yoon Lee
Comparison fields: 5 of 73
  • Cancer Research 118
  • Signal Processing 51
  • Computer Vision and Pattern Recognition 95
  • Molecular Biology 220
  • Endocrine and Autonomic Systems 14
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Jingjing Shen China
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Xiaosu Chen China
Lingfeng Zhang China
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Liyi Chen China
Konstantin Tretyakov Estonia
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Yonghong Yan China
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Citations per field
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Citations per year

Countries citing papers authored by Young-Yoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young-Yoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Young-Yoon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Young-Yoon Lee Line = papers co-authored together Young-Yoon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202369
2 202165
3 202353
4 202047
5 200939
6 201938
7 202131
8 202116
9 200913
10 202211
11 200710
12 20108
13 20048
14 20096
15
Order Learning and Its Application to Age Estimation
20205
16 20124
17 20093
18
A New CBOC Correlation Function for Next Generation GNSS Signal Synchronization
20092
19
An Efficient Routing Algorithm for Solving the Lost Link Problem of Vehicular Ad-hoc Networks
20082
20 20102

About Young-Yoon Lee

Young-Yoon Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 30 papers that have together received 441 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Advanced Wireless Communication Techniques (5 papers), PAPR reduction in OFDM (4 papers), Digital Media Forensic Detection (4 papers), MicroRNA in disease regulation (3 papers), Chaos-based Image/Signal Encryption (3 papers), GNSS positioning and interference (3 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Cancer Research (118 citations), Signal Processing (51 citations), Computer Vision and Pattern Recognition (95 citations), Molecular Biology (220 citations) and Endocrine and Autonomic Systems (14 citations). Young-Yoon Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include V. Narry Kim, Haedong Kim, Chang‐Su Kim, Hansol Lee, Soung‐Hun Roh, Munkyong Pae, Dayong Wu, Nitin Singhal, Sang-Uk Lee and Kijun Kim. Their work appears in journals such as Nature, Nutrients, Nature Structural & Molecular Biology, Frontiers in Immunology and IEEE Transactions on Image Processing.

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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