Yeejin Lee

460 citations
26 papers · 321 · h-index 10

Impact in

Papers in

    • Advanced Vision and Imaging 7
    • Image Enhancement Techniques 7
    • Image and Signal Denoising Methods 6
    • Advanced Image Processing Techniques 5
    • Advanced Neural Network Applications 4
    • Video Surveillance and Tracking Methods 4
    • Visual Attention and Saliency Detection 3
    • Advanced Image Fusion Techniques 4

Yeejin Lee

22 papers receiving 313 citations

Peers

Yeejin Lee
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 192
  • Media Technology 37
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 80
  • Neurology 22
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Citations per field
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Citations per year

Countries citing papers authored by Yeejin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yeejin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 201867
3 201856
4 201820
5 202214
6 201412
7 202210
8 20209
9 20149
10 20209
11 20167
12 20177
13 20075
14 20214
15 20134
16 20224
17 20153
18 20162
19 20241
20 20231

About Yeejin Lee

Yeejin Lee is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Pulmonary and Respiratory Medicine and Signal Processing, having authored 26 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (5 papers), Advanced Image Fusion Techniques (4 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Media Technology (37 citations), Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (80 citations) and Neurology (22 citations). Yeejin Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Truong Q. Nguyen, Byeongkeun Kang, Keigo Hirakawa, Steven S. Raman, Xinran Zhong, Kyunghyun Sung, Melina Hosseiny, Yongkai Liu, Guang Yang and Robert E. Reiter. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access, IEEE Signal Processing Letters, Sensors and Neurocomputing.

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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