Young-Yoon Lee
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Image Enhancement Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Image Processing Techniques
Papers in
-
- Advanced Steganography and Watermarking Techniques 8
- Digital Media Forensic Detection 6
- Chaos-based Image/Signal Encryption 4
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- Advanced Wireless Communication Techniques 5
- PAPR reduction in OFDM 4
- Co-authors
- V. Narry Kim (6 shared papers)Haedong Kim (5 shared papers)Chang‐Su Kim (9 shared papers)Chul-Woo Lee (1 shared paper)Chul Lee (1 shared paper)Sang-Uk Lee (3 shared papers)Soung‐Hun Roh (1 shared paper)Hansol Lee (1 shared paper)
- Journals
- Molecular Cell (2 papers)IEEE Transactions on Image Processing (2 papers)Nature (2 papers)Nature Reviews Molecular Cell Biology (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Young-Yoon Lee
32 papers receiving 710 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 186
- Computer Vision and Pattern Recognition 252
- Media Technology 63
- Signal Processing 61
- Molecular Biology 300
Countries citing papers authored by Young-Yoon Lee
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 146 | |
| 2 | 2023 | 73 | |
| 3 | 2021 | 67 | |
| 4 | 2020 | 62 | |
| 5 | 2023 | 58 | |
| 6 | 2020 | 50 | |
| 7 | 2024 | 46 | |
| 8 | 2019 | 39 | |
| 9 | 2009 | 39 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 13 | |
| 13 | 2009 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2006 | 10 | |
| 16 | 2007 | 10 | |
| 17 | 2004 | 8 | |
| 18 | 2010 | 8 | |
| 19 | 2009 | 6 | |
| 20 | Order Learning and Its Application to Age Estimation | 2020 | 5 |
About Young-Yoon Lee
Young-Yoon Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications and Signal Processing, having authored 37 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Digital Media Forensic Detection (6 papers), Advanced Wireless Communication Techniques (5 papers), MicroRNA in disease regulation (5 papers), RNA Research and Splicing (4 papers), PAPR reduction in OFDM (4 papers), Chaos-based Image/Signal Encryption (4 papers) and GNSS positioning and interference (3 papers). The work is most often cited by research in Cancer Research (186 citations), Computer Vision and Pattern Recognition (252 citations), Media Technology (63 citations), Signal Processing (61 citations) and Molecular Biology (300 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, Chul-Woo Lee, Chul Lee, Sang-Uk Lee, Soung‐Hun Roh, Hansol Lee, Munkyong Pae and Dayong Wu. Their work appears in journals such as Molecular Cell, IEEE Transactions on Image Processing, Nature, Nature Reviews Molecular Cell Biology and Journal of Visual Communication and Image Representation.
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.