Giyoung Lee

437 citations
21 papers · 225 · h-index 9

Impact in

Papers in

Giyoung Lee

20 papers receiving 223 citations

Peers

Giyoung Lee
Comparison fields: 5 of 93
  • Applied Microbiology and Biotechnology 10
  • Cognitive Neuroscience 71
  • Experimental and Cognitive Psychology 46
  • Computer Vision and Pattern Recognition 60
  • Human-Computer Interaction 14
Replace Muhammad Zubair with:
Muhammad Zubair South Korea
Matteo Danieletto United States
Yushan Wu China
Damien Brulin France
Séverine Dubuisson France
Nicolai Spicher Germany
Kenneth Lai Canada
Thomas Barkowsky Germany
Tyler Lee United States
Nicholas Vretos Greece
Giyoung Lee relative to Muhammad Zubair South Korea Muhammad Zubair's profile →
Citations per field
00.5×10×15×18×
Muhammad Zubair · 1×
Citations per year

Countries citing papers authored by Giyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Giyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giyoung 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 Giyoung Lee Line = papers co-authored together Giyoung Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201533
3 201426
4 201720
5 202216
6 201715
7 201514
8 20249
9 20229
10 20218
11 20226
12 20135
13 20234
14 20154
15 20212
16 20241
17 20231
18 20231
19 20241
20 20221

About Giyoung Lee

Giyoung Lee is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Epidemiology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 21 papers that have together received 225 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers), Emergency and Acute Care Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Pneumonia and Respiratory Infections (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Cognitive Neuroscience (71 citations), Experimental and Cognitive Psychology (46 citations), Computer Vision and Pattern Recognition (60 citations) and Human-Computer Interaction (14 citations). Giyoung Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Minho Lee, Min-Ho Lee, Rammohan Mallipeddi, Gil‐Jin Jang, Jun-Su Kang, Minho Lee, Yun Li, Robert W. Grundmeier, Keith Hamilton and Jeffrey S. Gerber. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Community Health, IEEE Signal Processing Letters, Clinical Infectious Diseases and Vaccine.

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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