Youngjune Kim

401 total citations
23 papers, 271 citations indexed

About

Youngjune Kim is a scholar working on Surgery, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Youngjune Kim has authored 23 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Orthopedics and Sports Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Youngjune Kim's work include Bone and Joint Diseases (5 papers), Dental Radiography and Imaging (4 papers) and Bone health and osteoporosis research (4 papers). Youngjune Kim is often cited by papers focused on Bone and Joint Diseases (5 papers), Dental Radiography and Imaging (4 papers) and Bone health and osteoporosis research (4 papers). Youngjune Kim collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Youngjune Kim's co-authors include Jungheum Cho, Dongjun Choi, Kyong Joon Lee, Choong Guen Chee, Joon Woo Lee, Eugene Lee, Leonard Sunwoo, Yun Jung Bae, Cheolkyu Jung and Yusuhn Kang and has published in prestigious journals such as American Journal of Roentgenology, European Radiology and Head & Neck.

In The Last Decade

Youngjune Kim

20 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngjune Kim South Korea 9 117 72 62 54 50 23 271
Dongjun Choi South Korea 9 109 0.9× 64 0.9× 78 1.3× 55 1.0× 50 1.0× 14 323
Manuela Lenghel Romania 10 94 0.8× 40 0.6× 79 1.3× 23 0.4× 46 0.9× 25 271
Carsten Gietzen Germany 10 99 0.8× 13 0.2× 107 1.7× 7 0.1× 73 1.5× 32 229
Claudio E. von Schacky Germany 10 78 0.7× 7 0.1× 211 3.4× 7 0.1× 147 2.9× 22 362
Rongguo Zhang China 5 61 0.5× 18 0.3× 193 3.1× 4 0.1× 83 1.7× 8 328
Yannik Leonhardt Germany 10 77 0.7× 15 0.2× 151 2.4× 2 0.0× 88 1.8× 23 289
Alexander Bilbily Canada 6 45 0.4× 74 1.0× 313 5.0× 3 0.1× 104 2.1× 14 527
Pokhraj P Suthar United States 7 81 0.7× 3 0.0× 48 0.8× 28 0.5× 39 0.8× 56 238
Malek El Husseini Germany 10 137 1.2× 56 0.8× 124 2.0× 2 0.0× 248 5.0× 22 394

Countries citing papers authored by Youngjune Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngjune Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjune Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjune Kim. A scholar is included among the top collaborators of Youngjune 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 Youngjune Kim. Youngjune 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.
2.
Kim, Youngjune, Choong Guen Chee, & Yusuhn Kang. (2025). Validation of the American College of Radiology Bone Reporting and Data System™ (ACR Bone-RADS™) for classifying osteolytic bone tumors. Skeletal Radiology. 54(9). 1841–1850. 2 indexed citations
3.
4.
Kim, Youngjune, et al.. (2024). Age-dependent changes in CT vertebral attenuation values in opportunistic screening for osteoporosis: a nationwide multi-center study. European Radiology. 35(6). 3519–3527. 1 indexed citations
5.
Kim, Youngjune, et al.. (2024). Regions of interest in opportunistic computed tomography-based screening for osteoporosis: impact on short-term in vivo precision. Skeletal Radiology. 54(6). 1225–1232. 1 indexed citations
6.
Kim, Youngjune, Changhyun Kim, Eugene Lee, & Joon Woo Lee. (2023). Coronal plane in opportunistic screening of osteoporosis using computed tomography: comparison with axial and sagittal planes. Skeletal Radiology. 53(6). 1103–1109. 4 indexed citations
7.
Cho, Jungheum, Youngjune Kim, Seungjae Lee, et al.. (2022). Appendiceal Visualization on 2-mSv CT vs. Conventional-Dose CT in Adolescents and Young Adults with Suspected Appendicitis: An Analysis of Large Pragmatic Randomized Trial Data. Korean Journal of Radiology. 23(4). 413–413. 3 indexed citations
8.
Kim, Youngjune, Won Chang, Eun‐Hee Kang, et al.. (2021). Deep learning–based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study. European Radiology. 31(11). 8755–8764. 8 indexed citations
9.
Kim, Junghoon, Choong Guen Chee, Jungheum Cho, Youngjune Kim, & Min A Yoon. (2021). Diagnostic accuracy and complication rate of image-guided percutaneous transthoracic needle lung biopsy for subsolid pulmonary nodules: a systematic review and meta-analysis. British Journal of Radiology. 94(1127). 20210065–20210065. 17 indexed citations
10.
Kim, Youngjune, Sun Mi Kim, Bo La Yun, et al.. (2020). False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients. ULTRASONOGRAPHY. 40(1). 83–92. 6 indexed citations
11.
Kim, Youngjune, Choong Guen Chee, Junghoon Kim, et al.. (2020). Diagnostic performance of plain radiography for sacroiliitis in patients with suspected axial spondyloarthritis: a systematic review and meta-analysis. Acta Radiologica. 62(4). 500–509. 1 indexed citations
12.
Kim, Youngjune, Dongjun Choi, Kyong Joon Lee, et al.. (2020). Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph. European Radiology. 30(5). 2843–2852. 23 indexed citations
13.
Kim, Youngjune, Eugene Lee, Joon Woo Lee, et al.. (2019). Clinical and imaging characteristics of patients with extreme low back pain or sciatica referred for spinal injection. Neuroradiology. 61(8). 881–889. 3 indexed citations
14.
Chee, Choong Guen, Youngjune Kim, Yusuhn Kang, et al.. (2019). Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists. American Journal of Roentgenology. 213(1). 155–162. 39 indexed citations
15.
Kim, Youngjune, Kyong Joon Lee, Leonard Sunwoo, et al.. (2018). Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography. Investigative Radiology. 54(1). 7–15. 87 indexed citations
16.
Kim, Youngjune, et al.. (2018). Diagnosis of Maxillary Sinusitis on Waters' View Conventional Radiograph using Convolutional Neural Network. 1 indexed citations
17.
Kim, Youngjune, Joong Mo Ahn, Yusuhn Kang, et al.. (2018). Uncovered Medial Meniscus Sign on Knee MRI: Evidence of Lost Brake Stop Mechanism of the Posterior Horn Medial Meniscus. American Journal of Roentgenology. 211(6). 1313–1318. 8 indexed citations
18.
Chee, Choong Guen, Jungheum Cho, Yusuhn Kang, et al.. (2018). Diagnostic accuracy of digital radiography for the diagnosis of osteonecrosis of the femoral head, revisited. Acta Radiologica. 60(8). 969–976. 8 indexed citations
19.
Lee, Jinhee, et al.. (2014). Doping Graphene with Ferroelectric <I>β</I>-PVDF Polymer Film: Density Functional Theory Calculation and Molecular Dynamics Simulation. Science of Advanced Materials. 6(11). 2422–2427. 3 indexed citations
20.
Kim, Iksoo, et al.. (2002). <title>New distributive web-caching technique for VOD services</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4861. 268–279. 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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