Jeong Won Lee

3.9k total citations
154 papers, 2.6k citations indexed

About

Jeong Won Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jeong Won Lee has authored 154 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Pulmonary and Respiratory Medicine and 36 papers in Oncology. Recurrent topics in Jeong Won Lee's work include Radiomics and Machine Learning in Medical Imaging (38 papers), Medical Imaging Techniques and Applications (31 papers) and Lung Cancer Diagnosis and Treatment (16 papers). Jeong Won Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (38 papers), Medical Imaging Techniques and Applications (31 papers) and Lung Cancer Diagnosis and Treatment (16 papers). Jeong Won Lee collaborates with scholars based in South Korea, United States and Ethiopia. Jeong Won Lee's co-authors include Sang Mi Lee, Mijin Yun, Jae‐Hoon Lee, Arthur Cho, Jong Doo Lee, Si Young Song, Hye Jin Choi, Won Jun Kang, Chang Moo Kang and Jong Doo Lee and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Jeong Won Lee

146 papers receiving 2.6k citations

Peers

Jeong Won Lee
Spencer C. Behr United States
Erqi L. Pollom United States
Laure Fournier France
M. Wannenmacher Germany
Murray Wesson Australia
Sungmin Woo South Korea
Aniek J.G. Even Netherlands
Rie von Eyben United States
T.A. DeWees United States
Lale Umutlu Germany
Spencer C. Behr United States
Jeong Won Lee
Citations per year, relative to Jeong Won Lee Jeong Won Lee (= 1×) peers Spencer C. Behr

Countries citing papers authored by Jeong Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jeong Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong Won Lee. A scholar is included among the top collaborators of Jeong 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 Jeong Won Lee. Jeong 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
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Park, Hyojin, Sung Hae Chang, Jeong Won Lee, & Sang Mi Lee. (2021). Clinical utility of F-18 sodium fluoride PET/CT for estimating disease activity in patients with rheumatoid arthritis. Quantitative Imaging in Medicine and Surgery. 11(4). 1156–1169. 11 indexed citations
3.
Lee, Jeong Won, et al.. (2020). Prognostic Value of CT-Attenuation and 18F-Fluorodeoxyglucose Uptake of Periprostatic Adipose Tissue in Patients with Prostate Cancer. Journal of Personalized Medicine. 10(4). 185–185. 7 indexed citations
4.
5.
Lee, Yun Hee, Jeong Won Lee, & Hong Seok Jang. (2017). Palliative external beam radiotherapy for the treatment of tumor bleeding in inoperable advanced gastric cancer. BMC Cancer. 17(1). 541–541. 33 indexed citations
6.
Lee, Jeong Won, Sang Cheol Lee, Han Jo Kim, & Sang Mi Lee. (2017). Prognostic value of bone marrow 18F-FDG uptake on PET/CT in lymphoma patients with negative bone marrow involvement.. PubMed. 20(1). 17–25. 11 indexed citations
7.
Lee, Jeong Won, et al.. (2017). Experimental Assessment of Bolted Single Lap Joint Strength for Laminates in Advanced Composite Materials. Transactions of the Korean Society of Mechanical Engineers A. 41(10). 983–989. 1 indexed citations
8.
Kwon, Hyun Woo, Sang Mi Lee, Jeong Won Lee, et al.. (2017). Association between volume and glucose metabolism of abdominal adipose tissue in healthy population. Obesity Research & Clinical Practice. 11(5). 133–143. 15 indexed citations
9.
Lee, Jeong Won, et al.. (2017). Prediction of renal cortical defect and scar using neutrophil-to-lymphocyte ratio in children with febrile urinary tract infection. Nuklearmedizin - NuclearMedicine. 56(3). 109–114. 9 indexed citations
10.
Lee, Jeong Won, et al.. (2016). Prognostic Significance of FDG Uptake of Bone Marrow on PET/CT in Patients With Non–Small-Cell Lung Cancer After Curative Surgical Resection. Clinical Lung Cancer. 18(2). 198–206. 39 indexed citations
11.
Lee, Jeong Won, Sang Hyun Hwang, Do Young Kim, Kwang‐Hyub Han, & Mijin Yun. (2016). Prognostic Value of FDG Uptake of Portal Vein Tumor Thrombosis in Patients With Locally Advanced Hepatocellular Carcinoma. Clinical Nuclear Medicine. 42(1). e35–e40. 14 indexed citations
12.
Kim, Dongwoo, Jeong Won Lee, Yumie Rhee, et al.. (2015). Pituitary 18F-FDG Uptake Correlates With Serum TSH Levels in Subjects With Diffuse Thyroid 18F-FDG Uptake. Clinical Nuclear Medicine. 40(8). 632–636. 7 indexed citations
13.
Lee, Jeong Won, Hye Sook Min, Sang Mi Lee, Hyun Woo Kwon, & June-Key Chung. (2015). Relations Between Pathological Markers and Radioiodine Scan and 18F-FDG PET/CT Findings in Papillary Thyroid Cancer Patients With Recurrent Cervical Nodal Metastases. Nuclear Medicine and Molecular Imaging. 49(2). 127–134. 10 indexed citations
14.
Lee, Jeong Won, Arthur Cho, Jae Hoon Lee, et al.. (2014). The role of metabolic tumor volume and total lesion glycolysis on 18F-FDG PET/CT in the prognosis of epithelial ovarian cancer. European Journal of Nuclear Medicine and Molecular Imaging. 41(10). 1898–1906. 59 indexed citations
15.
Lee, Sang Mi, et al.. (2013). Prediction of risk for symptomatic sialadenitis by post-therapeutic dual 131I scintigraphy in patients with differentiated thyroid cancer. Annals of Nuclear Medicine. 27(8). 700–709. 18 indexed citations
16.
Lee, Jeong Won, Jin Chul Paeng, Keon Wook Kang, et al.. (2009). Prediction of Tumor Recurrence by 18F-FDG PET in Liver Transplantation for Hepatocellular Carcinoma. Journal of Nuclear Medicine. 50(5). 682–687. 133 indexed citations
17.
Kim, Min Jae, Eun Joo Lee, Yoo-Young Lee, et al.. (2009). A study for diagnosis of squamous cell carcinoma arising from mature cystic teratoma. Obstetrics & Gynecology Science. 52(12). 1258–1264. 2 indexed citations
18.
Park, Eun‐Ah, Jin Mo Goo, Jeong Won Lee, et al.. (2009). Efficacy of Computer-Aided Detection System and Thin-Slab Maximum Intensity Projection Technique in the Detection of Pulmonary Nodules in Patients With Resected Metastases. Investigative Radiology. 44(2). 105–113. 29 indexed citations
19.
Lee, Jeong Won, Keon Wook Kang, Jin Chul Paeng, et al.. (2009). Cancer screening using 18F-FDG PET/CT in Korean asymptomatic volunteers: a preliminary report. Annals of Nuclear Medicine. 23(7). 685–691. 31 indexed citations
20.
Goo, Jin Mo, Jeong Won Lee, Hyun Ju Lee, et al.. (2003). Automated Lung Nodule Detection at Low-Dose CT: Preliminary Experience. Korean Journal of Radiology. 4(4). 211–211. 47 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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