Jaemin Son

3.3k total citations
7 papers, 400 citations indexed

About

Jaemin Son is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaemin Son has authored 7 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Ophthalmology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaemin Son's work include Retinal Imaging and Analysis (7 papers), Digital Imaging for Blood Diseases (4 papers) and Retinal Diseases and Treatments (3 papers). Jaemin Son is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Digital Imaging for Blood Diseases (4 papers) and Retinal Diseases and Treatments (3 papers). Jaemin Son collaborates with scholars based in South Korea, United Kingdom and United States. Jaemin Son's co-authors include Kyu-Hwan Jung, Sang Jun Park, Kyu Hyung Park, Joo Young Shin, Hoon Dong Kim, Eun Ju Chun and Jaeyoung Kim and has published in prestigious journals such as Scientific Reports, Ophthalmology and Applied Sciences.

In The Last Decade

Jaemin Son

7 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaemin Son South Korea 7 352 234 136 68 37 7 400
Katia Charrière France 8 335 1.0× 247 1.1× 189 1.4× 48 0.7× 77 2.1× 15 462
Álvaro S. Hervella Spain 11 272 0.8× 172 0.7× 125 0.9× 51 0.8× 20 0.5× 21 318
Guangzhou An Japan 7 324 0.9× 251 1.1× 94 0.7× 37 0.5× 16 0.4× 10 387
Tony Lindsey United States 5 209 0.6× 139 0.6× 94 0.7× 37 0.5× 70 1.9× 5 281
Jeong Gi Seo South Korea 5 281 0.8× 205 0.9× 97 0.7× 45 0.7× 28 0.8× 6 330
Cristina González-Gonzalo Netherlands 6 247 0.7× 202 0.9× 41 0.3× 57 0.8× 17 0.5× 12 326
Doug M. Baughman United States 2 402 1.1× 310 1.3× 81 0.6× 37 0.5× 19 0.5× 4 444
Yijin Huang China 8 169 0.5× 96 0.4× 81 0.6× 43 0.6× 19 0.5× 23 209
Jonathan D. Walker United States 7 358 1.0× 437 1.9× 85 0.6× 19 0.3× 37 1.0× 13 558
Warren Clarida United States 3 675 1.9× 533 2.3× 186 1.4× 88 1.3× 99 2.7× 4 781

Countries citing papers authored by Jaemin Son

Since Specialization
Citations

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

Fields of papers citing papers by Jaemin Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaemin Son

This figure shows the co-authorship network connecting the top 25 collaborators of Jaemin Son. A scholar is included among the top collaborators of Jaemin Son 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 Jaemin Son. Jaemin Son is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
2.
Son, Jaemin, et al.. (2021). Leveraging the Generalization Ability of Deep Convolutional Neural Networks for Improving Classifiers for Color Fundus Photographs. Applied Sciences. 11(2). 591–591. 7 indexed citations
3.
Son, Jaemin, Joo Young Shin, Eun Ju Chun, et al.. (2020). Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms. Translational Vision Science & Technology. 9(2). 28–28. 48 indexed citations
4.
Son, Jaemin, Joo Young Shin, Hoon Dong Kim, et al.. (2019). Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images. Ophthalmology. 127(1). 85–94. 145 indexed citations
5.
Son, Jaemin, Sang Jun Park, & Kyu-Hwan Jung. (2018). Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. Journal of Digital Imaging. 32(3). 499–512. 146 indexed citations
6.
Son, Jaemin, et al.. (2018). Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. Journal of Digital Imaging. 31(6). 923–928. 29 indexed citations
7.
Park, Sang Jun, et al.. (2018). A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training. Journal of Korean Medical Science. 33(43). e239–e239. 15 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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