Youngki Lee

30 papers and 811 indexed citations i.

About

Youngki Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Youngki Lee has authored 30 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Youngki Lee’s work include Image and Video Quality Assessment (3 papers), Nutritional Studies and Diet (3 papers) and Music and Audio Processing (3 papers). Youngki Lee is often cited by papers focused on Image and Video Quality Assessment (3 papers), Nutritional Studies and Diet (3 papers) and Music and Audio Processing (3 papers). Youngki Lee collaborates with scholars based in South Korea, Singapore and United States. Youngki Lee's co-authors include Archan Misra, H. Eugene Stanley, Luı́s A. Nunes Amaral, Martin Meyer, David Canning, Rajesh Krishna Balan, Aruna Seneviratne, Jagmohan Chauhan, Suranga Seneviratne and Yining Hu and has published in prestigious journals such as Physical Review Letters, ACS Applied Materials & Interfaces and Computer.

In The Last Decade

Co-authorship network of co-authors of Youngki Lee i

Fields of papers citing papers by Youngki Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngki Lee

Since Specialization
Citations

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

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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2025