Youngki Lee

1.7k total citations
42 papers, 1.2k citations indexed

About

Youngki Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Youngki Lee has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Youngki Lee's work include Context-Aware Activity Recognition Systems (5 papers), Video Surveillance and Tracking Methods (4 papers) and Image and Video Quality Assessment (4 papers). Youngki Lee is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Video Surveillance and Tracking Methods (4 papers) and Image and Video Quality Assessment (4 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, Rajesh Krishna Balan, Juheon Yi, Luı́s A. Nunes Amaral, Martin Meyer, David Canning, Jagmohan Chauhan, Suranga Seneviratne and Aruna Seneviratne and has published in prestigious journals such as Physical Review Letters, ACS Applied Materials & Interfaces and Computer.

In The Last Decade

Youngki Lee

39 papers receiving 1.2k citations

Peers

Youngki Lee
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 338
  • Signal Processing 209
  • Artificial Intelligence 177
  • Electrical and Electronic Engineering 168
  • Biomedical Engineering 168
Replace Youngki Lee with:
Youngki Lee South Korea
Yasushi Sakurai Japan
Jordi Luque Spain
Nirmalya Roy United States
Diogo R. Ferreira Portugal
Khalid Satori Morocco
Masaki Onishi Japan
Tsuyoshi Idé United States
Andrew Hunter United Kingdom
Yiran Shen China
Youngki Lee South Korea View profile →
Citations per field, relative to Youngki Lee
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Citations per year, relative to Youngki Lee
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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).

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.

Co-authorship network of co-authors of Youngki Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youngki Lee. A scholar is included among the top collaborators of Youngki 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 Youngki Lee. Youngki 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
# Work Indexed citations
1 0
2 1
3 1
4 8
5 1
6 2
7 1
8 3
9 34
10 66
11 81
12 11
13 47
14 34
15 26
16 66
17 9
18 12
19 57
20 78

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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