Kyung Won Lee

1.7k total citations
49 papers, 1.2k citations indexed

About

Kyung Won Lee is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kyung Won Lee has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Kyung Won Lee's work include Lung Cancer Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Treatments and Mutations (15 papers). Kyung Won Lee is often cited by papers focused on Lung Cancer Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Treatments and Mutations (15 papers). Kyung Won Lee collaborates with scholars based in South Korea, United States and Ethiopia. Kyung Won Lee's co-authors include Tae Jung Kim, Choon‐Taek Lee, Jin-Haeng Chung, Jin Mo Goo, Chang Min Park, Jae‐Ho Lee, Sook Whan Sung, Sanghoon Jheon, Jae Ho Lee and Tae Jung Kim and has published in prestigious journals such as Radiology, CHEST Journal and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Kyung Won Lee

48 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
Kyung Won Lee South Korea 20 1.1k 540 112 104 69 49 1.2k
Raymondo Endozo United Kingdom 17 555 0.5× 501 0.9× 137 1.2× 93 0.9× 112 1.6× 20 914
Daniel N. Costa United States 22 785 0.7× 500 0.9× 79 0.7× 166 1.6× 58 0.8× 62 1.1k
Aritoshi Hattori Japan 22 1.4k 1.3× 600 1.1× 217 1.9× 172 1.7× 33 0.5× 102 1.5k
Lars Schimmöller Germany 23 1.4k 1.3× 802 1.5× 90 0.8× 149 1.4× 82 1.2× 97 1.6k
Emanuele Voulaz Italy 15 814 0.8× 630 1.2× 185 1.7× 174 1.7× 138 2.0× 53 1.2k
Rosna Mirtcheva United States 5 758 0.7× 537 1.0× 77 0.7× 66 0.6× 47 0.7× 7 898
Katsuo Usuda Japan 19 1.0k 1.0× 501 0.9× 252 2.3× 259 2.5× 36 0.5× 145 1.5k
Harry A. Bishop United States 10 515 0.5× 479 0.9× 59 0.5× 96 0.9× 39 0.6× 15 744
Elvio De Fiori Italy 12 389 0.4× 263 0.5× 110 1.0× 239 2.3× 47 0.7× 36 728
Kenro Takahashi Japan 14 1.1k 1.0× 264 0.5× 237 2.1× 161 1.5× 28 0.4× 36 1.2k

Countries citing papers authored by Kyung Won Lee

Since Specialization
Citations

This map shows the geographic impact of Kyung 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 Kyung 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 Kyung Won Lee more than expected).

Fields of papers citing papers by Kyung Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung Won Lee. A scholar is included among the top collaborators of Kyung 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 Kyung Won Lee. Kyung 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.
Yoon, Sung Hyun, Sun-Young Park, Junghoon Kim, et al.. (2023). Use of artificial intelligence in triaging of chest radiographs to reduce radiologists’ workload. European Radiology. 34(2). 1094–1103. 6 indexed citations
2.
Yoon, Sung Hyun, Yong Ju Kim, Junghoon Kim, et al.. (2021). Interobserver variability in Lung CT Screening Reporting and Data System categorisation in subsolid nodule-enriched lung cancer screening CTs. European Radiology. 31(9). 7184–7191. 6 indexed citations
3.
Kim, Yeon Wook, Myung Jin Song, Byoung Soo Kwon, et al.. (2021). Differences in detection patterns, characteristics, and outcomes of central and peripheral lung cancers in low-dose computed tomography screening. Translational Lung Cancer Research. 10(11). 4185–4199. 5 indexed citations
4.
Yoon, Sung Hyun, Jihang Kim, Kyong Joon Lee, et al.. (2021). Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method. Quantitative Imaging in Medicine and Surgery. 12(3). 1674–1683. 1 indexed citations
5.
Kim, Junghoon, Kyung Hee Lee, Jun Yeun Cho, et al.. (2020). Usefulness of CT-Guided Percutaneous Transthoracic Needle Lung Biopsies in Patients with Suspected Pulmonary Infection. Korean Journal of Radiology. 21(5). 526–526. 5 indexed citations
6.
Cho, Jungheum, Jihang Kim, Jihang Kim, et al.. (2020). Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers. Journal of Clinical Medicine. 9(12). 3908–3908. 6 indexed citations
7.
Cho, Sukki, et al.. (2020). Stepwise Disease Progression Model of Subsolid Lung Adenocarcinoma with Cystic Airspaces. Annals of Surgical Oncology. 27(11). 4394–4403. 18 indexed citations
8.
Kim, Jihang, Kyung Hee Lee, Junghoon Kim, Yoon Joo Shin, & Kyung Won Lee. (2019). Improved repeatability of subsolid nodule measurement in low-dose lung screening with monoenergetic images: a phantom study. Quantitative Imaging in Medicine and Surgery. 9(2). 171–179. 12 indexed citations
9.
Kim, Hyung‐Jun, Jun Yeun Cho, Yeon Joo Lee, et al.. (2019). Clinical Significance of Pleural Attachment and Indentation of Subsolid Nodule Lung Cancer. Cancer Research and Treatment. 51(4). 1540–1548. 36 indexed citations
10.
11.
12.
Kim, Tae Jung, et al.. (2016). Radiogenomic correlation in lung adenocarcinoma with epidermal growth factor receptor mutations: Imaging features and histological subtypes. European Radiology. 26(10). 3660–3668. 46 indexed citations
13.
Lee, Sei Won, Tae Jung Kim, Kyung Won Lee, et al.. (2013). The long-term course of ground-glass opacities detected on thin-section computed tomography. Respiratory Medicine. 107(6). 904–910. 97 indexed citations
14.
Seo, Hyobin, Tae Jung Kim, Kwang Nam Jin, & Kyung Won Lee. (2010). Multi-Detector Row Computed Tomographic Evaluation of Bronchopleural Fistula. Journal of Computer Assisted Tomography. 34(1). 13–18. 23 indexed citations
15.
Kim, Tae Jung, Dae Hee Han, Kwang Nam Jin, & Kyung Won Lee. (2010). Lung Cancer Detected at Cardiac CT: Prevalence, Clinicoradiologic Features, and Importance of Full–Field-of-View Images. Radiology. 255(2). 369–376. 28 indexed citations
16.
Lee, Kyung Won, et al.. (2008). A New Method of Measuring the Amount of Soft Tissue in Pulmonary Ground-Glass Opacity Nodules: a Phantom Study. Korean Journal of Radiology. 9(3). 219–219. 7 indexed citations
17.
Oh, Jin Young, Ho-Il Yoon, Sang‐Min Lee, et al.. (2006). Clinical significance of a solitary ground-glass opacity (GGO) lesion of the lung detected by chest CT. Lung Cancer. 55(1). 67–73. 118 indexed citations
18.
Chung, Myung Jin, et al.. (2004). Evaluation of Computer Aided Volumetry for Simulated Small Pulmonary Nodules on Computed Tomography. Journal of the Korean Radiological Society. 50(2). 101–101. 1 indexed citations
19.
Choi, Sang Hee, Soo Young Chung, Kyung Won Lee, et al.. (2001). Ultrasonography in Paget's disease of the breast: Comparison with Mammographic findings. ULTRASONOGRAPHY. 20(2). 137–142. 1 indexed citations
20.
Park, Jai Hyung, et al.. (1997). CT Angiography of Takayasu Arteritis: Comparison with Conventional Angiography. Journal of Vascular and Interventional Radiology. 8(3). 393–400. 35 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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