Young Hun Choi

4.8k total citations
201 papers, 3.4k citations indexed

About

Young Hun Choi is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Young Hun Choi has authored 201 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Surgery, 52 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Young Hun Choi's work include Radiation Dose and Imaging (22 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced MRI Techniques and Applications (16 papers). Young Hun Choi is often cited by papers focused on Radiation Dose and Imaging (22 papers), Advanced X-ray and CT Imaging (19 papers) and Advanced MRI Techniques and Applications (16 papers). Young Hun Choi collaborates with scholars based in South Korea, Ethiopia and United States. Young Hun Choi's co-authors include Jung‐Eun Cheon, Woo Sun Kim, Feng Liu, In-One Kim, Sung Wan Kim, Yeon Jin Cho, Jong Sang Park, Yong‐beom Lim, Young Kweon Choi and Jin Seok Kim and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Young Hun Choi

185 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Hun Choi South Korea 29 987 707 681 465 391 201 3.4k
Maria Filomena Botelho Portugal 34 1.3k 1.3× 615 0.9× 677 1.0× 480 1.0× 663 1.7× 277 4.6k
Jian Chen China 36 1.4k 1.5× 287 0.4× 684 1.0× 302 0.6× 682 1.7× 238 4.7k
Jan Piťha Czechia 36 775 0.8× 319 0.5× 880 1.3× 274 0.6× 502 1.3× 226 6.8k
Yue Chen China 35 1.1k 1.1× 664 0.9× 1.1k 1.6× 308 0.7× 671 1.7× 340 4.9k
Wei‐Ming Li Taiwan 37 1.6k 1.6× 180 0.3× 1.1k 1.6× 563 1.2× 699 1.8× 265 4.9k
Sang‐Hee Lee South Korea 36 1.2k 1.2× 271 0.4× 476 0.7× 342 0.7× 263 0.7× 113 4.0k
Philip C. Ursell United States 33 2.3k 2.4× 655 0.9× 970 1.4× 223 0.5× 472 1.2× 105 6.3k
Zhi Wang China 30 1.1k 1.1× 439 0.6× 517 0.8× 278 0.6× 376 1.0× 227 3.2k
Jie Chen China 40 2.3k 2.4× 791 1.1× 740 1.1× 646 1.4× 1.1k 2.8× 434 7.4k
Serge Cremers United States 47 1.7k 1.7× 323 0.5× 808 1.2× 144 0.3× 392 1.0× 144 6.5k

Countries citing papers authored by Young Hun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Young Hun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Hun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Young Hun Choi. A scholar is included among the top collaborators of Young Hun Choi 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 Hun Choi. Young Hun Choi 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.
Choi, Young Hun, Seul Bi Lee, Yeon Jin Cho, et al.. (2025). Cerebellar hemorrhage in neonates: pattern analysis by ultrasonography and magnetic resonance imaging. Pediatric Radiology. 55(2). 324–333. 1 indexed citations
2.
Al‐masni, Mohammed A., Seul Lee, Sun Young Jung, et al.. (2025). Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency. Engineering Applications of Artificial Intelligence. 142. 109978–109978.
3.
Kim, Pyeong Hwa, Hee Mang Yoon, Ah Young Jung, et al.. (2025). Safety of Gadolinium-based Contrast Agents in Children: A Systematic Review and Meta-Analysis. Radiology. 316(1). e241224–e241224.
4.
Kim, Sam Soo, et al.. (2025). Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction. Korean Journal of Radiology. 26(2). 180–180. 2 indexed citations
5.
Kim, Pyeong Hwa, Jae‐Yeon Hwang, Young Hun Choi, Hee Mang Yoon, & Choong Wook Lee. (2024). Safety of Gadoxetate Disodium for Hepatobiliary MRI in Children and Adolescents. Radiology. 311(3). e232462–e232462. 2 indexed citations
6.
7.
Shin, Seung Han, et al.. (2024). Minimizing Radiation Exposure in Neonatal Intensive Care Unit: A Quality Improvement Approach on X-Ray Practices. SHILAP Revista de lepidopterología. 31(3). 56–64. 1 indexed citations
8.
Al‐masni, Mohammed A., et al.. (2023). A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. Computers in Biology and Medicine. 153. 106553–106553. 5 indexed citations
9.
Choi, Young Hun, Seul Bi Lee, Seunghyun Lee, et al.. (2023). Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study. Pediatric Radiology. 53(11). 2260–2268. 3 indexed citations
10.
Choi, Young Hun, Seul Bi Lee, Yeon Jin Cho, et al.. (2022). Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement. Pediatric Radiology. 52(11). 2197–2205. 7 indexed citations
11.
Choi, Jae Won, Yeon Jin Cho, Ji Young Ha, et al.. (2022). Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs. Korean Journal of Radiology. 23(3). 343–343. 32 indexed citations
12.
Lee, Yun Jeong, Yun Jeong Lee, Yeon Jin Cho, et al.. (2021). Thyroid nodules in childhood‐onset Hashimoto's thyroiditis: Frequency, risk factors, follow‐up course and genetic alterations of thyroid cancer. Clinical Endocrinology. 95(4). 638–648. 8 indexed citations
13.
Cheon, Jung‐Eun, Ji Young Kim, Young Hun Choi, et al.. (2021). MRI risk factors for development of avascular necrosis after closed reduction of developmental dysplasia of the hip: Predictive value of contrast-enhanced MRI. PLoS ONE. 16(3). e0248701–e0248701. 8 indexed citations
14.
Hwang, Jae‐Yeon, Young Hun Choi, Hee Mang Yoon, et al.. (2021). Establishment of Local Diagnostic Reference Levels of Pediatric Abdominopelvic and Chest CT Examinations Based on the Body Weight and Size in Korea. Korean Journal of Radiology. 22(7). 1172–1172. 9 indexed citations
15.
Kim, Keewon, et al.. (2020). Ultrasonographic cystometry for neurogenic bladder using elastography. Neurourology and Urodynamics. 40(1). 367–375. 5 indexed citations
16.
Cho, Yeon Jin, Mi Seon Han, Woo Sun Kim, et al.. (2019). Correlation between chest radiographic findings and clinical features in hospitalized children with Mycoplasma pneumoniae pneumonia. PLoS ONE. 14(8). e0219463–e0219463. 32 indexed citations
17.
Kim, Sang Suk, et al.. (2018). Memory enhancing activity of extract of new citrus cultivar ‘Shinyegam’in mice. Korean Journal of Food Preservation. 25(7). 855–862.
18.
Hyun, Chang‐Gu, et al.. (2018). Effects of Shiranuhi flower extracts and fractions on lipopolysaccharide-induced inflammatory responses in murine RAW 264.7 cells. Turkish Journal of Biochemistry. 43(4). 375–384. 3 indexed citations
19.
Kim, Sang Suk, et al.. (2016). Inhibitory kinetics of enterolactone on mushroom tyrosinase. Der pharma chemica. 8(19). 124–130. 1 indexed citations
20.
Kim, Sang Suk, et al.. (2014). Anti-inflammatory Effect of Citrus unshiu Peels Fermented with Aspergillus niger. Journal of Life Science. 24(7). 750–756. 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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