Kyungmoo Lee
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Ophthalmology top 0.2%
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Co-authors
- Michael D. AbràmoffMilan SonkaMona K. GarvinMeindert NiemeijerYoung H. KwonLi ZhangRobert F. MullinsXinjian Chen
- Topics
- Retinal Imaging and Analysis (48 papers)Glaucoma and retinal disorders (39 papers)Retinal Diseases and Treatments (28 papers)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Kyungmoo Lee
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 1.5k
- Ophthalmology 1.5k
- Biomedical Engineering 648
- Computer Vision and Pattern Recognition 232
- Molecular Biology 145
Countries citing papers authored by Kyungmoo Lee
This map shows the geographic impact of Kyungmoo 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 Kyungmoo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyungmoo Lee more than expected).
Fields of papers citing papers by Kyungmoo Lee
This network shows the impact of papers produced by Kyungmoo 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 Kyungmoo Lee. The network helps show where Kyungmoo Lee may publish in the future.
Co-authorship network of co-authors of Kyungmoo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kyungmoo Lee. A scholar is included among the top collaborators of Kyungmoo 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 Kyungmoo Lee. Kyungmoo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 3 | |
| 5 | Correlation of retinal ganglion cell metrics made in vivo using SD-OCT versus ex vivo using quantitative histology in Diversity Outbred mice | 1 |
| 6 | 38 | |
| 7 | 1 | |
| 8 | 70 | |
| 9 | 8 | |
| 10 | Reproducibility of SD-OCT-Based Ganglion-Cell-Complex-Layer Thickness in Early Glaucoma using Commercial and Custom Segmentation Algorithms | 3 |
| 11 | Automated choroidal neovascularization associated abnormality detection and quantitative analysis from clinical SD-OCT | 2 |
| 12 | Total Retinal Thickness Using Iowa Reference Algorithm: Measurement Reproducibility in 5 SD-OCT Scanners | 1 |
| 13 | Automated Estimation of Fluid Volume in 3D OCT Scans of Patients with CNV Due to AMD | 3 |
| 14 | 154 | |
| 15 | 23 | |
| 16 | 19 | |
| 17 | 33 | |
| 18 | 25 | |
| 19 | 288 | |
| 20 | 139 |
About Kyungmoo Lee
Kyungmoo Lee is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (48 papers), Glaucoma and retinal disorders (39 papers) and Retinal Diseases and Treatments (28 papers). The work is most often cited by research in Ophthalmology (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Biomedical Engineering (648 citations). Kyungmoo Lee has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Michael D. Abràmoff, Milan Sonka, Mona K. Garvin, Meindert Niemeijer, Young H. Kwon, Li Zhang, Robert F. Mullins, Xinjian Chen, Li Zhang and Gwenolé Quellec. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.