Ji Won Lee

2.1k total citations
94 papers, 1.5k citations indexed

About

Ji Won Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ji Won Lee has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Biomedical Engineering and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ji Won Lee's work include Advanced X-ray and CT Imaging (19 papers), Cardiac Imaging and Diagnostics (16 papers) and Radiation Dose and Imaging (16 papers). Ji Won Lee is often cited by papers focused on Advanced X-ray and CT Imaging (19 papers), Cardiac Imaging and Diagnostics (16 papers) and Radiation Dose and Imaging (16 papers). Ji Won Lee collaborates with scholars based in South Korea, United States and Germany. Ji Won Lee's co-authors include Soo‐Jin Park, Young‐Jung Heo, Jin Hur, Byoung Wook Choi, Jin You Kim, Nam Kyung Lee, Chul Hwan Park, Sang Min Lee, Tae Hoon Kim and Yeon Joo Jeong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ji Won Lee

87 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Won Lee South Korea 22 509 444 309 200 194 94 1.5k
Sung Bin Park South Korea 27 375 0.7× 314 0.7× 197 0.6× 94 0.5× 321 1.7× 129 2.0k
Sung Min Ko South Korea 20 550 1.1× 321 0.7× 465 1.5× 114 0.6× 75 0.4× 92 1.4k
Yong-il Kim South Korea 20 233 0.5× 204 0.5× 140 0.5× 243 1.2× 404 2.1× 65 1.2k
Jian Guan China 26 215 0.4× 213 0.5× 227 0.7× 119 0.6× 625 3.2× 120 2.4k
Chun-Ku Chen Taiwan 22 103 0.2× 483 1.1× 104 0.3× 82 0.4× 109 0.6× 41 1.4k
Jihui Li China 23 198 0.4× 142 0.3× 226 0.7× 109 0.5× 292 1.5× 142 1.8k
Xiaobo Chen China 17 205 0.4× 123 0.3× 234 0.8× 166 0.8× 101 0.5× 77 1.4k
Richard R. Bouchard United States 24 959 1.9× 158 0.4× 1.7k 5.5× 133 0.7× 176 0.9× 71 2.2k
Changhoon Song South Korea 24 359 0.7× 365 0.8× 597 1.9× 594 3.0× 399 2.1× 103 1.9k
Olusegun J. Ilegbusi United States 24 303 0.6× 240 0.5× 495 1.6× 28 0.1× 457 2.4× 144 1.9k

Countries citing papers authored by Ji Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Won Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Won Lee. A scholar is included among the top collaborators of Ji Won 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 Ji Won Lee. Ji Won 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.
2.
Lee, Ji Won, et al.. (2024). Highly flexible ferroelectric PZT thick films on Cu/PI foil for flexible energy storage devices. Journal of Energy Storage. 93. 112321–112321. 3 indexed citations
3.
Kim, Jin You, Jin Joo Kim, Ji Won Lee, et al.. (2024). Are background breast parenchymal features on preoperative breast MRI associated with disease-free survival in patients with invasive breast cancer?. La radiologia medica. 129(12). 1790–1801.
4.
Yeom, Jeong A, et al.. (2024). Findings of Endoscopic US and CT of Esophageal Disease. SHILAP Revista de lepidopterología. 85(5). 883–883.
5.
Lee, Ji Won, et al.. (2024). Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness. Korean Journal of Radiology. 25(9). 833–833. 1 indexed citations
6.
Lee, Ji Won, et al.. (2024). Application of a Deep Learning–Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load. Journal of Computer Assisted Tomography. 49(2). 288–296. 1 indexed citations
7.
Choo, Ki Seok, et al.. (2023). Left Atrial Strain Derived From Cardiac Magnetic Resonance Imaging Can Predict Outcomes of Patients With Acute Myocarditis. Korean Journal of Radiology. 24(6). 512–512. 8 indexed citations
8.
Choe, Jeong Cheon, Jun‐Hyok Oh, Han Cheol Lee, et al.. (2023). The effect of nicorandil on cardiac function and clinical outcomes in ST-segment elevation myocardial infarction patients undergoing primary percutaneous coronary intervention: a randomised trial. Acta cardiologica. Supplementum. 78(8). 880–888. 3 indexed citations
9.
Lee, Ji Won, et al.. (2023). Enhanced oxidation of urea by pH swing during chlorination: pH-dependent reaction mechanism. Water Research. 242. 120183–120183. 8 indexed citations
10.
Kim, Hwiyoung, Kye Ho Lee, Kyunghwa Han, et al.. (2023). Development and Validation of a Deep Learning–Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs. JAMA Network Open. 6(1). e2253820–e2253820. 9 indexed citations
11.
Jeong, Yeon Joo, et al.. (2022). Usefulness of Contrast-Enhanced CT in a Patient with Acute Phlegmonous Esophagitis: A Case Report and Literature Review. Medicina. 58(7). 864–864. 3 indexed citations
13.
15.
Kim, Jin You, Jin Joo Kim, Lee Hwangbo, et al.. (2019). Diffusion-weighted MRI of estrogen receptor-positive, HER2-negative, node-negative breast cancer: association between intratumoral heterogeneity and recurrence risk. European Radiology. 30(1). 66–76. 29 indexed citations
16.
Kim, Jin You, Jin Joo Kim, Ji Won Lee, et al.. (2018). Risk stratification of ductal carcinoma in situ using whole-lesion histogram analysis of the apparent diffusion coefficient. European Radiology. 29(2). 485–493. 15 indexed citations
17.
Eom, Jung Seop, Jeongha Mok, Min Ki Lee, et al.. (2018). Radial probe endobronchial ultrasound using a guide sheath for peripheral lung lesions in beginners. BMC Pulmonary Medicine. 18(1). 137–137. 27 indexed citations
18.
Kang, Hyun Jung, Jin You Kim, Nam Kyung Lee, et al.. (2017). Three-dimensional versus two-dimensional shear-wave elastography: Associations of mean elasticity values with prognostic factors and tumor subtypes of breast cancer. Clinical Imaging. 48. 79–85. 10 indexed citations
19.
Kim, Young Jin, Ji Won Lee, Hee Yeong Kim, et al.. (2012). Automatic Tube Potential Selection with Tube Current Modulation (APSCM) in coronary CT angiography: Comparison of image quality and radiation dose with conventional body mass index-based protocol. Journal of cardiovascular computed tomography. 6(3). 184–190. 30 indexed citations
20.
Shin, Ho Jin, Ji Won Lee, Cheong Hoon Kwon, et al.. (2011). Electrocatalytic characteristics of electrodes based on ferritin/carbon nanotube composites for biofuel cells. Sensors and Actuators B Chemical. 160(1). 384–388. 8 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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