Kyungmoo Lee

2.4k total citations
60 papers, 1.9k citations indexed

About

Kyungmoo Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Kyungmoo Lee has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Ophthalmology and 24 papers in Biomedical Engineering. Recurrent topics in Kyungmoo Lee's work include Retinal Imaging and Analysis (48 papers), Glaucoma and retinal disorders (39 papers) and Retinal Diseases and Treatments (28 papers). Kyungmoo Lee is often cited by papers focused on Retinal Imaging and Analysis (48 papers), Glaucoma and retinal disorders (39 papers) and Retinal Diseases and Treatments (28 papers). Kyungmoo Lee collaborates with scholars based in United States, Netherlands and Austria. Kyungmoo Lee's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Kyungmoo Lee

59 papers receiving 1.9k citations

Peers

Kyungmoo Lee
Rui Bernardes Portugal
Luís de Sisternes United States
Akram Belghith United States
Bingyao Tan Singapore
Dara D. Koozekanani United States
Amir Sadeghipour Austria
Mark Christopher United States
Peter Solíz United States
Alauddin Bhuiyan Australia
Yukun Guo United States
Rui Bernardes Portugal
Kyungmoo Lee
Citations per year, relative to Kyungmoo Lee Kyungmoo Lee (= 1×) peers Rui Bernardes

Countries citing papers authored by Kyungmoo Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ahmad, Noor-Us-Sabah, Kristen A. Staggers, Kyungmoo Lee, et al.. (2024). Total retinal thickness is an important factor in evaluating diabetic retinal neurodegeneration. BMJ Open Ophthalmology. 9(1). e001791–e001791.
2.
Hagen, Jussara, et al.. (2023). Caldendrin represses neurite regeneration and growth in dorsal root ganglion neurons. Scientific Reports. 13(1). 2608–2608. 4 indexed citations
3.
Kim, Jong Woo, et al.. (2021). Automatic control of simulated moving bed process with deep Q-network. Journal of Chromatography A. 1647. 462073–462073. 25 indexed citations
4.
Lee, Kyungmoo, Elliott H. Sohn, Andreas Wahle, et al.. (2020). Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans. 10–10. 3 indexed citations
5.
Anderson, Michael G., et al.. (2019). Correlation of retinal ganglion cell metrics made in vivo using SD-OCT versus ex vivo using quantitative histology in Diversity Outbred mice. Investigative Ophthalmology & Visual Science. 60(9). 5604–5604. 1 indexed citations
6.
Guo, Zhihui, Young H. Kwon, Kyungmoo Lee, et al.. (2017). Optical Coherence Tomography Analysis Based Prediction of Humphrey 24-2 Visual Field Thresholds in Patients With Glaucoma. Investigative Ophthalmology & Visual Science. 58(10). 3975–3975. 38 indexed citations
7.
Wahle, Andreas, et al.. (2017). Optical coherence tomography in pediatric optic nerve hypoplasia. Journal of American Association for Pediatric Ophthalmology and Strabismus. 21(4). e43–e43. 1 indexed citations
8.
Zhang, Li, Gabriëlle H.S. Buitendijk, Kyungmoo Lee, et al.. (2015). Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT. Investigative Ophthalmology & Visual Science. 56(5). 3202–3202. 70 indexed citations
9.
Abràmoff, Michael D., Xiaodong Wu, Kyungmoo Lee, & Li Tang. (2014). Subvoxel Accurate Graph Search Using Non-Euclidean Graph Space. PLoS ONE. 9(10). e107763–e107763. 8 indexed citations
10.
Garvin, Mona K., Kyungmoo Lee, Trudy L. Burns, et al.. (2013). Reproducibility of SD-OCT-Based Ganglion-Cell-Complex-Layer Thickness in Early Glaucoma using Commercial and Custom Segmentation Algorithms. Investigative Ophthalmology & Visual Science. 54(15). 88–88. 3 indexed citations
11.
Xu, Xiayu, Li Zhang, Kyungmoo Lee, et al.. (2013). Automated choroidal neovascularization associated abnormality detection and quantitative analysis from clinical SD-OCT. Investigative Ophthalmology & Visual Science. 54(15). 5510–5510. 2 indexed citations
12.
Schmidt‐Erfurth, Ursula, Bianca S. Gerendas, Sebastian M. Waldstein, et al.. (2013). Total Retinal Thickness Using Iowa Reference Algorithm: Measurement Reproducibility in 5 SD-OCT Scanners. Investigative Ophthalmology & Visual Science. 54(15). 5503–5503. 1 indexed citations
13.
Niemeijer, Meindert, Kyungmoo Lee, Xinjian Chen, et al.. (2012). Automated Estimation of Fluid Volume in 3D OCT Scans of Patients with CNV Due to AMD. Investigative Ophthalmology & Visual Science. 53(14). 4074–4074. 3 indexed citations
14.
Chen, Xinjian, Meindert Niemeijer, Li Zhang, et al.. (2012). Three-Dimensional Segmentation of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search-Graph-Cut. IEEE Transactions on Medical Imaging. 31(8). 1521–1531. 154 indexed citations
15.
Lee, Kyungmoo. (2012). Distribution of Damage to the Entire Retinal Ganglion Cell Pathway. Archives of Ophthalmology. 130(9). 1118–1118. 23 indexed citations
16.
Garvin, Mona K., Michael D. Abràmoff, Kyungmoo Lee, et al.. (2012). 2-D Pattern of Nerve Fiber Bundles in Glaucoma Emerging from Spectral-Domain Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 53(1). 483–483. 19 indexed citations
17.
Tang, Li, Mona K. Garvin, Kyungmoo Lee, et al.. (2011). Robust Multiscale Stereo Matching from Fundus Images with Radiometric Differences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2245–2258. 33 indexed citations
18.
Hu, Zhihong, et al.. (2010). Automated Segmentation of 3-D Spectral OCT Retinal Blood Vessels by Neural Canal Opening False Positive Suppression. Lecture notes in computer science. 13(Pt 3). 33–40. 25 indexed citations
19.
Dijk, Hille W. van, Frank D. Verbraak, Pauline H. B. Kok, et al.. (2010). Decreased Retinal Ganglion Cell Layer Thickness in Patients with Type 1 Diabetes. Investigative Ophthalmology & Visual Science. 51(7). 3660–3660. 288 indexed citations
20.
Lee, Kyungmoo, Meindert Niemeijer, Mona K. Garvin, et al.. (2009). Segmentation of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head. IEEE Transactions on Medical Imaging. 29(1). 159–168. 139 indexed citations

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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