Young-Yoon Lee

691 total citations
30 papers, 441 citations indexed

About

Young-Yoon Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Young-Yoon Lee has authored 30 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Young-Yoon Lee's work include Advanced Steganography and Watermarking Techniques (6 papers), Advanced Wireless Communication Techniques (5 papers) and PAPR reduction in OFDM (4 papers). Young-Yoon Lee is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Advanced Wireless Communication Techniques (5 papers) and PAPR reduction in OFDM (4 papers). Young-Yoon Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Young-Yoon Lee's co-authors include V. Narry Kim, Haedong Kim, Chang‐Su Kim, Hansol Lee, Soung‐Hun Roh, Munkyong Pae, Dayong Wu, Sang-Uk Lee, Nitin Singhal and Jeesoo Kim and has published in prestigious journals such as Nature, Molecular Cell and IEEE Transactions on Image Processing.

In The Last Decade

Young-Yoon Lee

26 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Yoon Lee South Korea 11 220 118 95 51 44 30 441
Le Li China 9 222 1.0× 138 1.2× 80 0.8× 12 0.2× 123 2.8× 18 431
Smarti Reel United Kingdom 4 299 1.4× 71 0.6× 27 0.3× 12 0.2× 40 0.9× 5 537
Xiaosu Chen China 11 185 0.8× 54 0.5× 30 0.3× 24 0.5× 36 0.8× 41 420
Jinghua Zhong China 10 81 0.4× 35 0.3× 30 0.3× 69 1.4× 127 2.9× 24 396
Meiyu Duan China 11 164 0.7× 44 0.4× 37 0.4× 16 0.3× 137 3.1× 42 482
Yonghong Yan China 11 252 1.1× 21 0.2× 9 0.1× 30 0.6× 28 0.6× 25 400
Zhijie Qi United States 8 193 0.9× 66 0.6× 12 0.1× 5 0.1× 29 0.7× 11 313
Lingfeng Zhang China 9 143 0.7× 38 0.3× 30 0.3× 15 0.3× 19 0.4× 28 322
Konstantin Tretyakov Estonia 6 103 0.5× 10 0.1× 35 0.4× 48 0.9× 68 1.5× 13 299
Liyi Chen China 14 129 0.6× 54 0.5× 55 0.6× 3 0.1× 105 2.4× 67 529

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-authorship network of co-authors of Young-Yoon Lee

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

All Works

20 of 20 papers shown
1.
Lee, Young-Yoon, Hansol Lee, Haedong Kim, V. Narry Kim, & Soung‐Hun Roh. (2023). Structure of the human DICER–pre-miRNA complex in a dicing state. Nature. 615(7951). 331–338. 69 indexed citations
2.
Lee, Young-Yoon, Haedong Kim, & V. Narry Kim. (2023). Sequence determinant of small RNA production by DICER. Nature. 615(7951). 323–330. 53 indexed citations
3.
Kim, Yelim, et al.. (2022). Time-restricted feeding reduces monocyte production by controlling hematopoietic stem and progenitor cells in the bone marrow during obesity. Frontiers in Immunology. 13. 1054875–1054875. 11 indexed citations
4.
Kim, Kijun, et al.. (2021). A quantitative map of human primary microRNA processing sites. Molecular Cell. 81(16). 3422–3439.e11. 65 indexed citations
5.
Lee, Mi Nam, Young-Yoon Lee, Dayong Wu, & Munkyong Pae. (2021). Luteolin inhibits NLRP3 inflammasome activation via blocking ASC oligomerization. The Journal of Nutritional Biochemistry. 92. 108614–108614. 31 indexed citations
6.
Lee, Young-Yoon, et al.. (2020). Order Learning and Its Application to Age Estimation. International Conference on Learning Representations. 5 indexed citations
7.
Kim, Dong-Wan, Young-Suk Lee, Soo Jin Jung, et al.. (2020). Viral hijacking of the TENT4–ZCCHC14 complex protects viral RNAs via mixed tailing. Nature Structural & Molecular Biology. 27(6). 581–588. 47 indexed citations
8.
Lee, Young-Yoon, et al.. (2010). Integer Frequency Offset Estimation Scheme Robust to Timing Offset for OFDM-Based CR Systems. The Journal of Korean Institute of Communications and Information Sciences. 35. 554–561.
9.
Kang, Je‐Won, Young-Yoon Lee, Chang‐Su Kim, & Sang‐Uk Lee. (2010). Coding Order Decision of B Frames for Rate-Distortion Performance Improvement in Single-View Video and Multiview Video Coding. IEEE Transactions on Image Processing. 19(8). 2029–2041. 8 indexed citations
11.
Lee, Myung‐Soo, et al.. (2009). A New CBOC Correlation Function for Next Generation GNSS Signal Synchronization. The Journal of Korean Institute of Communications and Information Sciences. 34(7). 724–729. 2 indexed citations
12.
Singhal, Nitin, Young-Yoon Lee, Chang‐Su Kim, & Sang-Uk Lee. (2009). Robust image watermarking using local Zernike moments. Journal of Visual Communication and Image Representation. 20(6). 408–419. 39 indexed citations
13.
Park, Sang-Uk, et al.. (2009). Multiple channel division for efficient distributed video coding. 1401–1404. 3 indexed citations
14.
Lee, Young-Yoon, Sang-Uk Park, Chang‐Su Kim, & Sang‐Uk Lee. (2009). Temporal Feature Modulation for Video Watermarking. IEEE Transactions on Circuits and Systems for Video Technology. 19(4). 603–608. 13 indexed citations
15.
Lee, Young-Yoon, et al.. (2008). An Efficient Routing Algorithm for Solving the Lost Link Problem of Vehicular Ad-hoc Networks. The Journal of Korean Institute of Communications and Information Sciences. 33. 1075–1081. 2 indexed citations
16.
Kim, Sanghun, et al.. (2008). DS/SS Code Acquisition Scheme Based on Signed-Rank Statistic in Non-Gaussian Impulsive Noise Environments. The Journal of Korean Institute of Communications and Information Sciences. 33. 200–207. 1 indexed citations
17.
Lee, Young-Yoon, et al.. (2008). Generalized Advanced Region Correlation (G-ARC) Scheme for BOC(m, n) Modulated Code Tracking in Future GNSS. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1777–1780. 1 indexed citations
18.
Kim, Sang-Hun, et al.. (2007). A novel unambiguous BOC signal synchronization scheme for global navigation satellite systems. 43–48. 1 indexed citations
19.
Lee, Young-Yoon. (2001). ON THE JOINT WEYL AND BROWDER SPECTRA OF HYPONORMAL OPERTORS. Communications of the Korean Mathematical Society. 16(2). 235–241.
20.
Lee, Dong‐Joon, et al.. (2000). A case of Pleural effusion. The Journal of Internal Korean Medicine. 21(4). 671–676. 1 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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