Young Jun Kim

782 total citations
43 papers, 540 citations indexed

About

Young Jun Kim is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Young Jun Kim has authored 43 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Epidemiology. Recurrent topics in Young Jun Kim's work include Corneal surgery and disorders (4 papers), Oceanographic and Atmospheric Processes (3 papers) and Ocean Waves and Remote Sensing (3 papers). Young Jun Kim is often cited by papers focused on Corneal surgery and disorders (4 papers), Oceanographic and Atmospheric Processes (3 papers) and Ocean Waves and Remote Sensing (3 papers). Young Jun Kim collaborates with scholars based in South Korea, United States and France. Young Jun Kim's co-authors include Jae Hoon Lee, Heewon Chung, Youngbin Shin, Jinseok Lee, Seung‐Ji Kang, Wu Seong Kang, Kyung Won Kim, Hoon Ko, Hyun‐Seok Jung and Jungho Im and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Remote Sensing of Environment.

In The Last Decade

Young Jun Kim

37 papers receiving 522 citations

Peers

Young Jun Kim
Mohammad Yaqub United Kingdom
Xiaoli Liu China
Yuwen Chen China
Bing Xie China
Yaeji Lim South Korea
Jialong Wu China
Omid Hamidi Iran
Dongyou Zhang China
Ji Min Sung South Korea
Mohammad Yaqub United Kingdom
Young Jun Kim
Citations per year, relative to Young Jun Kim Young Jun Kim (= 1×) peers Mohammad Yaqub

Countries citing papers authored by Young Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Jun Kim. 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 Young Jun Kim. The network helps show where Young Jun Kim may publish in the future.

Co-authorship network of co-authors of Young Jun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Jun Kim. A scholar is included among the top collaborators of Young Jun Kim 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 Young Jun Kim. Young Jun Kim 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.
Kim, Young Jun, et al.. (2025). Efficacy and Safety of Secondary Surgical Treatment for Refractory Recurrent Corneal Erosion. Cornea. 45(1). 51–55. 1 indexed citations
2.
3.
Kim, Young Jun, Hyun‐Cheol Kim, Daehyeon Han, Julienne Strœve, & Jungho Im. (2024). Long-term prediction of Arctic sea ice concentrations using deep learning: Effects of surface temperature, radiation, and wind conditions. Remote Sensing of Environment. 318. 114568–114568. 5 indexed citations
4.
Jang, Eunna, et al.. (2024). Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations. International Journal of Applied Earth Observation and Geoinformation. 132. 104029–104029. 3 indexed citations
5.
Nymark, Penny, Laure‐Alix Clerbaux, Maria João Amorim, et al.. (2024). Building an Adverse Outcome Pathway network for COVID-19. SHILAP Revista de lepidopterología. 4. 1384481–1384481. 3 indexed citations
6.
7.
Ko, Young Jin, et al.. (2023). Automated quantification of lipid contents of Lipomyces starkeyi using deep-learning-based image segmentation. Bioresource Technology. 393. 130015–130015. 2 indexed citations
8.
Kim, Na Eun, Jae Lim Chung, Young Jun Kim, et al.. (2022). Patient selection for corneal topographic evaluation of keratoconus: A screening approach using artificial intelligence. Frontiers in Medicine. 9. 934865–934865. 9 indexed citations
9.
Bouscasse, Benjamin, Jang Whan Kim, Young Jun Kim, et al.. (2021). Qualification Criteria and the Verification of Numerical Waves: Part 2: CFD-Based Numerical Wave Tank. 5 indexed citations
10.
Ko, Hoon, Heewon Chung, Wu Seong Kang, et al.. (2020). COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation. Journal of Medical Internet Research. 22(6). e19569–e19569. 197 indexed citations
11.
Kim, Young Jun, Hyun‐Cheol Kim, Daehyeon Han, Sanggyun Lee, & Jungho Im. (2020). Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks. ˜The œcryosphere. 14(3). 1083–1104. 73 indexed citations
12.
Han, Daehyeon, et al.. (2018). The Estimation of Arctic Air Temperature in Summer Based on Machine Learning Approaches Using IABP Buoy and AMSR2 Satellite Data. National Remote Sensing Bulletin. 34(6). 1261–1272. 1 indexed citations
13.
Yu, Tae Yang, et al.. (2018). Scrub typhus initially manifested as diabetic ketoacidosis: A case report. IDCases. 12. 165–166. 1 indexed citations
14.
Kim, Sae Hoon, et al.. (2017). Effect of Tranexamic Acid on Hematologic Values and Blood Loss in Reverse Total Shoulder Arthroplasty. BioMed Research International. 2017. 1–5. 17 indexed citations
15.
16.
Jang, H., Jin Wook Kim, Seok‐Soo Byun, et al.. (2015). Oncologic and Functional Outcomes after Partial Nephrectomy Versus Radical Nephrectomy in T1b Renal Cell Carcinoma: A Multicenter, Matched Case-Control Study in Korean Patients. Cancer Research and Treatment. 48(2). 612–620. 38 indexed citations
17.
Kim, Young Jun, et al.. (2015). Marked elevation of procalcitonin level can lead to a misdiagnosis of anaphylactic shock as septic shock. International Journal of Infectious Diseases. 37. 93–94. 13 indexed citations
18.
Gwon, Dong Il, Gi‐Young Ko, Hyun‐Ki Yoon, et al.. (2012). Safety and Efficacy of Percutaneous Y-configured Covered Stent Placement for Malignant Hilar Biliary Obstruction: A Prospective, Pilot Study. Journal of Vascular and Interventional Radiology. 23(4). 528–534. 27 indexed citations
19.
Kim, Young‐Hoon, et al.. (1997). Musculoskeletal Adipose tumors of the extremities: Benign vs Malignancy in MR Imaging. Journal of the Korean Radiological Society. 37(6). 1121–1121. 1 indexed citations
20.
Kim, Young Jun, et al.. (1997). An Epidemic of Aseptic Meningitis in Summer 1996 and Global Analysis and Comparision of It with 1993. Korean Journal of Pediatrics. 40(8). 1081–1090. 3 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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2026