Ik Hee Ryu

1.5k total citations · 1 hit paper
45 papers, 863 citations indexed

About

Ik Hee Ryu is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ik Hee Ryu has authored 45 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Ophthalmology and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ik Hee Ryu's work include Corneal surgery and disorders (24 papers), Glaucoma and retinal disorders (17 papers) and Retinal Imaging and Analysis (13 papers). Ik Hee Ryu is often cited by papers focused on Corneal surgery and disorders (24 papers), Glaucoma and retinal disorders (17 papers) and Retinal Imaging and Analysis (13 papers). Ik Hee Ryu collaborates with scholars based in South Korea, United States and Singapore. Ik Hee Ryu's co-authors include Tae Keun Yoo, Jin Kuk Kim, In Sik Lee, Hong Kyu Kim, Joon Yul Choi, Geunyoung Lee, Woongchul Choi, Tyler Hyungtaek Rim, Eung Soo Kim and Kyoung Yul Seo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ophthalmology.

In The Last Decade

Ik Hee Ryu

43 papers receiving 840 citations

Hit Papers

Application of generative adversarial networks (GAN) for ... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
    2022 126 citations Jin Kuk Kim, Ik Hee Ryu et al. Eye and Vision profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ik Hee Ryu South Korea 16 562 405 179 131 85 45 863
Jim Graham United Kingdom 20 260 0.5× 274 0.7× 21 0.1× 303 2.3× 84 1.0× 39 1.2k
João Dallyson Sousa de Almeida Brazil 15 387 0.7× 248 0.6× 26 0.1× 23 0.2× 133 1.6× 84 725
Qianzhong Cao China 13 325 0.6× 324 0.8× 93 0.5× 26 0.2× 80 0.9× 37 648
Qiaoliang Li China 14 599 1.1× 329 0.8× 45 0.3× 23 0.2× 99 1.2× 49 985
Neil Joshi United States 13 886 1.6× 668 1.6× 93 0.5× 39 0.3× 197 2.3× 24 1.2k
Adrián Colomer Spain 16 440 0.8× 226 0.6× 33 0.2× 18 0.1× 323 3.8× 56 796
Alan Fleming United Kingdom 23 2.0k 3.5× 1.2k 2.9× 100 0.6× 161 1.2× 58 0.7× 46 2.6k
Pradeep Kumar Singh India 9 127 0.2× 31 0.1× 21 0.1× 44 0.3× 81 1.0× 51 431
Debdoot Sheet India 16 751 1.3× 343 0.8× 22 0.1× 14 0.1× 329 3.9× 80 1.4k
Hui Ma China 13 557 1.0× 71 0.2× 28 0.2× 30 0.2× 295 3.5× 53 984

Countries citing papers authored by Ik Hee Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Ik Hee Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ik Hee Ryu. 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 Ik Hee Ryu. The network helps show where Ik Hee Ryu may publish in the future.

Co-authorship network of co-authors of Ik Hee Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Ik Hee Ryu. A scholar is included among the top collaborators of Ik Hee Ryu 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 Ik Hee Ryu. Ik Hee Ryu 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.
Shin, Daeun Chloe, et al.. (2025). Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea. BMC Medical Informatics and Decision Making. 25(1). 118–118. 3 indexed citations
2.
Ryu, Ik Hee, et al.. (2024). Development of a Machine-Learning–Based Tool for Overnight Orthokeratology Lens Fitting. Translational Vision Science & Technology. 13(2). 17–17. 8 indexed citations
3.
Yoo, Tae Keun, et al.. (2024). Comparison of early visual outcomes after SMILE using VISUMAX 800 and VISUMAX 500 for myopia: a retrospective matched case–control study. Scientific Reports. 14(1). 11989–11989. 11 indexed citations
4.
Kim, Hong Kyu, Ik Hee Ryu, Joon Yul Choi, & Tae Keun Yoo. (2024). A feasibility study on the adoption of a generative denoising diffusion model for the synthesis of fundus photographs using a small dataset. Discover Applied Sciences. 6(4). 10 indexed citations
5.
Choi, Joon Yul, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, & Tae Keun Yoo. (2024). Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography. BMC Medical Informatics and Decision Making. 24(1). 25–25. 10 indexed citations
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Choi, Eun Young, Ik Hee Ryu, Jin Kuk Kim, et al.. (2023). Automated detection of crystalline retinopathy via fundus photography using multistage generative adversarial networks. Journal of Applied Biomedicine. 43(4). 725–735. 6 indexed citations
9.
Ryu, Ik Hee, et al.. (2023). Predicting Postoperative Anterior Chamber Angle for Phakic Intraocular Lens Implantation Using Preoperative Anterior Segment Metrics. Translational Vision Science & Technology. 12(1). 10–10. 10 indexed citations
10.
Choi, Joon Yul, Jin Kuk Kim, In Sik Lee, et al.. (2023). Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era. Medical & Biological Engineering & Computing. 62(2). 449–463. 5 indexed citations
11.
Jain, Rishabh, et al.. (2023). Deep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography. Ophthalmology and Therapy. 13(1). 305–319. 8 indexed citations
12.
13.
Kim, Jin Kuk, et al.. (2022). Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey. Eye and Vision. 9(1). 6–6. 126 indexed citations breakdown →
14.
Chung, Byunghoon, Ik Hee Ryu, In Sik Lee, et al.. (2022). Clinical outcomes of the immediate reapplication of small-incision lenticule extraction without adjusting the surgical parameters after suction loss. Scientific Reports. 12(1). 15973–15973. 1 indexed citations
15.
Kim, Hannah, Laehyun Kim, Jin‐Kuk Kim, et al.. (2021). Artificial intelligence-based nomogram for small-incision lenticule extraction. BioMedical Engineering OnLine. 20(1). 38–38. 12 indexed citations
16.
Yoo, Tae Keun, Joon Yul Choi, Hong Kyu Kim, Ik Hee Ryu, & Jin Kuk Kim. (2021). Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images. Computer Methods and Programs in Biomedicine. 205. 106086–106086. 37 indexed citations
17.
Yoo, Tae Keun, Ik Hee Ryu, Jin Kuk Kim, & In Sik Lee. (2021). Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images. Eye. 36(10). 1959–1965. 29 indexed citations
18.
Yoo, Tae Keun, Ein Oh, Hong Kyu Kim, et al.. (2020). Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study. PLoS ONE. 15(4). e0231322–e0231322. 17 indexed citations
19.
Ryu, Ik Hee, et al.. (2005). Change of Nerve Growth Factor After 01% Prednisolone Instillation in Dry Eye Syndrome Patients and Its Correlation With Clinical Parameters. Investigative Ophthalmology & Visual Science. 46(13). 2049–2049. 1 indexed citations
20.
Lee, Hsin‐Chen, Ik Hee Ryu, Kyoung Yul Seo, et al.. (2005). Topical 0.1% Prednisolone Lowers Nerve Growth Factor Expression in Keratoconjunctivitis Sicca Patients. Ophthalmology. 113(2). 198–205. 75 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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