Jee Young Kim

2.0k total citations
89 papers, 1.3k citations indexed

About

Jee Young Kim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jee Young Kim has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 18 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Surgery. Recurrent topics in Jee Young Kim's work include Thyroid Cancer Diagnosis and Treatment (12 papers), Sarcoma Diagnosis and Treatment (8 papers) and Advanced MRI Techniques and Applications (8 papers). Jee Young Kim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (12 papers), Sarcoma Diagnosis and Treatment (8 papers) and Advanced MRI Techniques and Applications (8 papers). Jee Young Kim collaborates with scholars based in South Korea, United States and Japan. Jee Young Kim's co-authors include So Lyung Jung, Chang Suk Park, Sung Hun Kim, Hyeon Woo Yim, Bong Joo Kang, Mi Sook Sung, Seung Hee Jeong, Young Ha Park, Hyun Gi Kim and Woo Chan Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Neuroradiology.

In The Last Decade

Jee Young Kim

82 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jee Young Kim South Korea 20 363 348 292 171 149 89 1.3k
Zhe Wang China 26 340 0.9× 187 0.5× 349 1.2× 265 1.5× 402 2.7× 108 1.8k
J.M. Llamas Elvira Spain 20 350 1.0× 215 0.6× 348 1.2× 326 1.9× 75 0.5× 118 1.4k
Shyang‐Rong Shih Taiwan 20 203 0.6× 621 1.8× 120 0.4× 136 0.8× 119 0.8× 74 1.5k
Wei‐Shiang Lin Taiwan 28 290 0.8× 99 0.3× 221 0.8× 147 0.9× 57 0.4× 99 3.3k
Tetsuya Kawata Japan 19 184 0.5× 111 0.3× 243 0.8× 347 2.0× 82 0.6× 56 1.2k
Charles Intenzo United States 24 518 1.4× 297 0.9× 491 1.7× 364 2.1× 66 0.4× 107 1.7k
Michael Kyriakidis Greece 24 198 0.5× 96 0.3× 322 1.1× 318 1.9× 138 0.9× 58 2.0k
Rola Saouaf United States 21 354 1.0× 298 0.9× 444 1.5× 547 3.2× 84 0.6× 56 2.1k
Hui You China 22 142 0.4× 112 0.3× 332 1.1× 292 1.7× 78 0.5× 125 1.6k
Kazuhiko Sakaguchi Japan 23 377 1.0× 552 1.6× 159 0.5× 78 0.5× 46 0.3× 94 1.7k

Countries citing papers authored by Jee Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jee Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jee Young Kim. A scholar is included among the top collaborators of Jee Young 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 Jee Young Kim. Jee Young 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.
Choe, Yeong Sim, Regina E. Y. Kim, Jee Young Kim, et al.. (2024). Automated Scoring of Alzheimer’s Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation. Journal of Alzheimer s Disease Reports. 8(1). 863–876.
2.
Kim, Jee Young, et al.. (2023). MRI-visible Perivascular Spaces in the Neonatal Brain. Radiology. 307(2). e221314–e221314. 15 indexed citations
3.
Park, Sung‐Hwan, Hyun Gi Kim, Minho Lee, et al.. (2023). A regional brain volume–based age prediction model for neonates and the derived brain maturation index. European Radiology. 34(6). 3892–3902.
4.
Kim, Regina E. Y., et al.. (2023). A Fully Automated Visual Grading System for White Matter Hyperintensities of T2-Fluid Attenuated Inversion Recovery Magnetic Resonance Imaging. Journal of Integrative Neuroscience. 22(3). 57–57. 5 indexed citations
5.
Kim, Hyun Gi, et al.. (2022). Accelerated 3D T2-weighted images using compressed sensing for pediatric brain imaging. Neuroradiology. 64(12). 2399–2407. 5 indexed citations
6.
Jung, Woojin, et al.. (2022). Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults. European Radiology. 32(8). 5468–5479. 11 indexed citations
7.
Lee, Yoo Jin, Jee Young Kim, Dong Gyu Na, et al.. (2022). Malignancy risk of thyroid nodules with minimal cystic changes: a multicenter retrospective study. ULTRASONOGRAPHY. 41(4). 670–677. 8 indexed citations
8.
Chung, Sae Rom, Hye Shin Ahn, Young Jun Choi, et al.. (2021). Diagnostic Performance of the Modified Korean Thyroid Imaging Reporting and Data System for Thyroid Malignancy: A Multicenter Validation Study. Korean Journal of Radiology. 22(9). 1579–1579. 20 indexed citations
9.
Kim, Jee Young, Regina E. Y. Kim, Minho Lee, et al.. (2021). Semi-Supervised Learning in Medical MRI Segmentation: Brain Tissue with White Matter Hyperintensity Segmentation Using FLAIR MRI. Brain Sciences. 11(6). 720–720. 14 indexed citations
10.
Lee, Young Hoon, Jee Young Kim, Hitomi Ohmagari, et al.. (2021). Functionalised Terpyridines and Their Metal Complexes—Solid-State Interactions. Chemistry. 3(1). 199–227. 2 indexed citations
11.
Jung, Seung‐Won, Moon Hyung Choi, Se Won Oh, et al.. (2021). Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography. npj Precision Oncology. 5(1). 54–54. 61 indexed citations
12.
Kim, Jee Young, et al.. (2021). Editor's Choice – Development and Validation of a Multivariable Prediction Model of Peri-operative Mortality in Vascular Surgery: The New Zealand Vascular Surgical Risk Tool (NZRISK-VASC). European Journal of Vascular and Endovascular Surgery. 61(4). 657–663. 3 indexed citations
13.
Kang, Dong Woo, et al.. (2021). Differential Impact of Education on Gray Matter Volume According to Sex in Cognitively Normal Older Adults: Whole Brain Surface-Based Morphometry. Frontiers in Psychiatry. 12. 644148–644148. 4 indexed citations
14.
Kim, Regina E. Y., Minho Lee, Dong Woo Kang, et al.. (2020). Deep Learning-Based Segmentation to Establish East Asian Normative Volumes Using Multisite Structural MRI. Diagnostics. 11(1). 13–13. 13 indexed citations
15.
Lee, Minho, Jee Young Kim, Regina E. Y. Kim, et al.. (2020). Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI. Brain Sciences. 10(12). 974–974. 40 indexed citations
16.
Kim, Jee Young, et al.. (2018). Annona muricata Leaf Extract Triggered Intrinsic Apoptotic Pathway to Attenuate Cancerous Features of Triple Negative Breast Cancer MDA‐MB‐231 Cells. Evidence-based Complementary and Alternative Medicine. 2018(1). 7972916–7972916. 32 indexed citations
17.
Im, Soo Ah, et al.. (2016). Submucosal Hemangioma of the Trachea in an Infant: Diagnosis and Follow-Up with 3D-CT/Bronchoscopy. Iranian Journal of Pediatrics. 26(1). e2346–e2346. 5 indexed citations
18.
Lee, Soo Jin, et al.. (2015). Diagnostic performance of thyroid ultrasonography screening in pediatric patients with a hypothyroid, hyperthyroid or euthyroid goiter. Pediatric Radiology. 46(1). 104–111. 11 indexed citations
19.
Kim, Jee Young, et al.. (2014). Aggressive primary thyroid lymphoma: imaging features of two elderly patients. ULTRASONOGRAPHY. 33(4). 298–302. 2 indexed citations
20.
Kim, Jee Young, Jeong Mi Park, Gye Yeon Lim, et al.. (2002). Atypical Benign Lipomatous Tumors in the Soft Tissue: Radiographic and Pathologic Correlation. Journal of Computer Assisted Tomography. 26(6). 1063–1068. 21 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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