Kye Ho Lee

473 total citations
18 papers, 335 citations indexed

About

Kye Ho Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kye Ho Lee has authored 18 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kye Ho Lee's work include Cardiac Imaging and Diagnostics (7 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Advanced X-ray and CT Imaging (5 papers). Kye Ho Lee is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Advanced X-ray and CT Imaging (5 papers). Kye Ho Lee collaborates with scholars based in South Korea and United States. Kye Ho Lee's co-authors include Jin Hur, Byoung Wook Choi, Kyunghwa Han, Ji Won Lee, Chul Hwan Park, Tae Hoon Kim, Sang Min Lee, Jae Seung Seo, Sung Ho Hwang and Woocheol Kwon and has published in prestigious journals such as Scientific Reports, Radiology and CHEST Journal.

In The Last Decade

Kye Ho Lee

16 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kye Ho Lee South Korea 8 271 118 70 43 39 18 335
Hsin-Yueh Fang Taiwan 11 241 0.9× 61 0.5× 69 1.0× 102 2.4× 18 0.5× 25 320
Shun‐Mao Yang Taiwan 16 469 1.7× 139 1.2× 31 0.4× 177 4.1× 59 1.5× 58 571
Maria‐Katharina Ganten Germany 9 226 0.8× 134 1.1× 53 0.8× 33 0.8× 93 2.4× 11 361
Chih-Tsung Wen Taiwan 10 263 1.0× 56 0.5× 61 0.9× 85 2.0× 25 0.6× 23 310
Jean Chalaoui Canada 9 214 0.8× 68 0.6× 38 0.5× 62 1.4× 20 0.5× 23 318
Lau Brix Denmark 6 56 0.2× 183 1.6× 52 0.7× 61 1.4× 42 1.1× 26 286
H. Ohmatsu Japan 5 361 1.3× 72 0.6× 69 1.0× 63 1.5× 12 0.3× 9 411
Ji Yung Choo South Korea 12 413 1.5× 222 1.9× 35 0.5× 55 1.3× 71 1.8× 26 542
C. Lefort France 7 403 1.5× 378 3.2× 18 0.3× 30 0.7× 39 1.0× 12 523
Michael B. Plunkett United States 7 261 1.0× 101 0.9× 37 0.5× 61 1.4× 25 0.6× 10 340

Countries citing papers authored by Kye Ho Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kye Ho Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kye Ho Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kye Ho Lee. A scholar is included among the top collaborators of Kye Ho 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 Kye Ho Lee. Kye Ho Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lee, Ji‐Won, Jin Young Kim, Kyunghwa Han, et al.. (2025). Utility of CAD-RADS 2.0 Plaque Burden Grades and Stenosis Categories on Coronary CTA for Predicting Cardiac Events in Patients With Acute Chest Pain: A Multicenter Study. American Journal of Roentgenology. 225(4). e2533005–e2533005.
2.
Kim, Jin Young, Kye Ho Lee, Ji Won Lee, et al.. (2025). Predicting Major Adverse Cardiac Events Using Deep Learning–based Coronary Artery Disease Analysis at CT Angiography. Radiology Artificial Intelligence. 7(3). e240459–e240459.
3.
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
4.
Jung, Yunsub, Jin Hur, Kyunghwa Han, et al.. (2023). Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study. Quantitative Imaging in Medicine and Surgery. 13(3). 1937–1947. 4 indexed citations
5.
Lee, Ji Won, Chul Hwan Park, Dong Jin Im, et al.. (2022). CT-based radiomics signature for differentiation between cardiac tumors and thrombi: a retrospective, multicenter study. Scientific Reports. 12(1). 8173–8173. 4 indexed citations
6.
Lee, Ji Won, Jin Young Kim, Kyunghwa Han, et al.. (2021). Coronary CT Angiography CAD-RADS versus Coronary Artery Calcium Score in Patients with Acute Chest Pain. Radiology. 301(1). 81–90. 16 indexed citations
7.
Kim, Pan Ki, Yoo Jin Hong, Hyo Sup Shim, et al.. (2021). Serial T1 mapping of right ventricle in pulmonary hypertension: comparison with histology in an animal study. Journal of Cardiovascular Magnetic Resonance. 23(1). 64–64. 7 indexed citations
8.
Kim, Sung‐Won, Chan Joo Lee, Kyunghwa Han, et al.. (2021). Histogram-derived modified thresholds for coronary artery calcium scoring with lower tube voltage. Scientific Reports. 11(1). 17450–17450. 3 indexed citations
9.
Hur, Jin, Kyunghwa Han, Dong Jin Im, et al.. (2021). Prognostic Value of Coronary Artery Disease–Reporting and Data System Score for Major Adverse Cardiac Events in Patients Attending the Emergency Department With Acute Chest Pain. Journal of Computer Assisted Tomography. 45(3). 395–402. 2 indexed citations
10.
Lee, Suji, et al.. (2021). Comparison of artery-based methods for ordinal grading of coronary artery calcium on low-dose chest computed tomography. European Radiology. 31(11). 8108–8115. 6 indexed citations
11.
Im, Dong Jin, Sang Min Lee, Kyunghwa Han, et al.. (2021). Predictive factors of recurrence after resection of subsolid clinical stage IA lung adenocarcinoma. Thoracic Cancer. 12(6). 941–948. 6 indexed citations
12.
Park, Chul Hwan, Sang Min Lee, Ji Won Lee, et al.. (2019). Hook-wire localization versus lipiodol localization for patients with pulmonary lesions having ground-glass opacity. Journal of Thoracic and Cardiovascular Surgery. 159(4). 1571–1579.e2. 22 indexed citations
13.
Park, Chul Hwan, Dong Jin Im, Sang Min Lee, et al.. (2017). LOGIS (LOcalization of Ground-glass-opacity and pulmonary lesions for mInimal Surgery) registry: Design and Rationale. Contemporary Clinical Trials Communications. 9. 60–63. 2 indexed citations
14.
Park, Chul Hwan, Kyunghwa Han, Jin Hur, et al.. (2016). Comparative Effectiveness and Safety of Preoperative Lung Localization for Pulmonary Nodules. CHEST Journal. 151(2). 316–328. 203 indexed citations
15.
Park, Chul Hwan, Jin Hur, Sang Min Lee, et al.. (2015). Lipiodol lOcalization for Ground-glass opacity mInimal Surgery: Rationale and design of the LOGIS trial. Contemporary Clinical Trials. 43. 194–199. 9 indexed citations
16.
Lee, Kye Ho, Jin Hur, Sae Rom Hong, et al.. (2015). Predictors of Recurrent Stroke in Patients with Ischemic Stroke: Comparison Study between Transesophageal Echocardiography and Cardiac CT. Radiology. 276(2). 381–389. 19 indexed citations
17.
Hur, Jin, Kye Ho Lee, Sae Rom Hong, et al.. (2014). Prognostic value of coronary computed tomography angiography in stroke patients. Atherosclerosis. 238(2). 271–277. 20 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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