In Sik Lee

805 total citations
35 papers, 549 citations indexed

About

In Sik Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Epidemiology. According to data from OpenAlex, In Sik Lee has authored 35 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Ophthalmology and 10 papers in Epidemiology. Recurrent topics in In Sik Lee's work include Corneal surgery and disorders (20 papers), Glaucoma and retinal disorders (12 papers) and Retinal Imaging and Analysis (9 papers). In Sik Lee is often cited by papers focused on Corneal surgery and disorders (20 papers), Glaucoma and retinal disorders (12 papers) and Retinal Imaging and Analysis (9 papers). In Sik Lee collaborates with scholars based in South Korea, Singapore and Japan. In Sik Lee's co-authors include Ik Hee Ryu, Tae Keun Yoo, Jin Kuk Kim, Geunyoung Lee, Hong Kyu Kim, Tyler Hyungtaek Rim, Jin Kook Kim, Eung Kweon Kim, Hyung Keun Lee and Kazutaka Kamiya and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

In Sik Lee

34 papers receiving 533 citations

Peers

In Sik Lee
Karsten Kortuem Germany
Daisuke Nagasato Japan
Geunyoung Lee Singapore
Josef Huemer United Kingdom
Hironobu Tampo Japan
Simon Szeto Hong Kong
Hon Tym Wong Singapore
Wen Zhou China
Zhongwen Li China
Saad Khan United Kingdom
Karsten Kortuem Germany
In Sik Lee
Citations per year, relative to In Sik Lee In Sik Lee (= 1×) peers Karsten Kortuem

Countries citing papers authored by In Sik Lee

Since Specialization
Citations

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

Fields of papers citing papers by In Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In Sik Lee

This figure shows the co-authorship network connecting the top 25 collaborators of In Sik Lee. A scholar is included among the top collaborators of In Sik 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 In Sik Lee. In Sik 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.
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
2.
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
3.
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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
5.
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
6.
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
7.
8.
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
9.
Kim, Bo Ram, Tae Keun Yoo, Hong Kyu Kim, et al.. (2022). Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine. The EPMA Journal. 13(3). 367–382. 25 indexed citations
10.
Kim, Juntae, Ik Hee Ryu, Jin Kuk Kim, et al.. (2022). Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(11). 3701–3710. 17 indexed citations
11.
Yoo, Tae Keun, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, & Hong Kyu Kim. (2022). A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs. Computer Methods and Programs in Biomedicine. 219. 106735–106735. 20 indexed citations
12.
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
13.
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
14.
Kamiya, Kazutaka, Ik Hee Ryu, Tae Keun Yoo, et al.. (2021). Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics. American Journal of Ophthalmology. 226. 90–99. 50 indexed citations
15.
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
16.
Park, Sang Woo, Chul Hwan Kim, Hae Jeong Jeon, et al.. (2007). Improved Patency of Transjugular Intrahepatic Portosystemic Shunt: The Efficacy of Cilostazol for the Prevention of Pseudointimal Hyperplasia in Swine TIPS Models. CardioVascular and Interventional Radiology. 30(4). 719–724. 4 indexed citations
17.
Park, Kyong Soo, Hyeon Chang Kim, Jin Kook Kim, et al.. (2006). Comparison of Patient Satisfaction between Conventional and Customized LASIK. Journal of the Korean Ophthalmological Society. 47(6). 883–892. 2 indexed citations
18.
Kim, Jin Kook, Sung Soo Kim, Hyung Keun Lee, et al.. (2004). Laser in situ keratomileusis versus laser-assisted subepithelial keratectomy for the correction of high myopia. Journal of Cataract & Refractive Surgery. 30(7). 1405–1411. 33 indexed citations
19.
Kim, Mi Kyung, Hye‐Sung Won, So Ra Kim, et al.. (2001). The Clinical Utility of Amnioinfusion in Oligohydroamnios following PPROM.. Korean Journal of Obstetrics & Gynecology. 44(2). 364–368. 1 indexed citations
20.
Won, Hye Sung, et al.. (2001). The fetal therapy of congenital cystic adenomatoid malformation of the lung in - utero : Two cases of thoracoamniotic shunting using a basket - shaped catheter.. Korean Journal of Obstetrics & Gynecology. 43(10). 1894–1899. 1 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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