Jaekoo Lee

612 citations
39 papers · 398 · h-index 8

Impact in

Papers in

Jaekoo Lee

27 papers receiving 378 citations

Peers

Jaekoo Lee
Comparison fields: 5 of 95
  • Orthopedics and Sports Medicine 52
  • Artificial Intelligence 153
  • Computer Vision and Pattern Recognition 92
  • Biotechnology 29
  • Cardiology and Cardiovascular Medicine 49
Replace Pedro Carvalho with:
Pedro Carvalho Portugal
Stephen A. Ward United States
Xingang Yu China
Jun Toyama Japan
João M. O. S. Rodrigues Portugal
Chih-Hung Chang Taiwan
Tomoko Tateyama Japan
Allen C. Cheng United States
Sandra Alemany Spain
Hitoshi Aida Japan
Jaekoo Lee relative to Pedro Carvalho Portugal Pedro Carvalho's profile →
Citations per field
00.5×10×14.5×
Pedro Carvalho · 1×
Citations per year

Countries citing papers authored by Jaekoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaekoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021147
2 201556
3 202146
4 201739
5 201227
6 201211
7 202111
8 201210
9 20137
10 20127
11 20134
12 20204
13 20244
14
A Performance Comparison of Super Resolution Model with Different Activation Functions
20203
15
The change of body composition, physical fitness, and capacity of the lungs according to gateball experience in old persons
20073
16
Effects of multifidus muscle volume in patient of lumbar pain according to lumbar exercise methods
20083
17
Removal of Aspect-Ratio-Dependent Etching by Low-Angle Forward Reflected Neutral-Beam Etching
20062
18 20142
19 20152
20 20221

About Jaekoo Lee

Jaekoo Lee is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Biotechnology and Biomedical Engineering, having authored 39 papers that have together received 398 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Health and Wellbeing Research (4 papers), Education and Learning Interventions (4 papers), Phytase and its Applications (4 papers), Diverse Approaches in Healthcare and Education Studies (3 papers), Complex Network Analysis Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (52 citations), Artificial Intelligence (153 citations), Computer Vision and Pattern Recognition (92 citations), Biotechnology (29 citations) and Cardiology and Cardiovascular Medicine (49 citations). Jaekoo Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Youngjun Yoo, Daehee Kim, Jinkyu Kim, Seunghyun Park, Sunyoung Kwon, Ki‐Jun Park, Byung Yong Kang, Jaiesoon Cho, Sungroh Yoon and Inkyung Park. Their work appears in journals such as IEEE Access, Asian-Australasian Journal of Animal Sciences, Sensors, ICT Express and IEEE Systems Journal.

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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