Yedaun Lee

1.2k total citations
44 papers, 905 citations indexed

About

Yedaun Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Yedaun Lee has authored 44 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Surgery and 8 papers in Oncology. Recurrent topics in Yedaun Lee's work include MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yedaun Lee is often cited by papers focused on MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Liver Disease Diagnosis and Treatment (6 papers). Yedaun Lee collaborates with scholars based in South Korea, Canada and Germany. Yedaun Lee's co-authors include Seung Soo Lee, Seong Ho Park, Seung Ho Kim, So Yeon Kim, Bo-Kyeong Kang, Jung-Hee Yoon, Nieun Seo, Yeong Jae Kim, Seunghee Baek and Kyung‐Jo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Yedaun Lee

41 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yedaun Lee South Korea 16 474 280 240 176 160 44 905
Justin Ream United States 21 698 1.5× 282 1.0× 193 0.8× 156 0.9× 93 0.6× 61 1.2k
Katja Oberholzer Germany 20 342 0.7× 576 2.1× 108 0.5× 83 0.5× 136 0.8× 29 1.0k
Melanie Bruegel Germany 16 761 1.6× 528 1.9× 513 2.1× 58 0.3× 271 1.7× 21 1.5k
Raj Mohan Paspulati United States 16 298 0.6× 343 1.2× 89 0.4× 42 0.2× 100 0.6× 59 830
Laurence Annet Belgium 12 189 0.4× 190 0.7× 79 0.3× 84 0.5× 86 0.5× 25 553
Maryellen Sun United States 18 525 1.1× 369 1.3× 129 0.5× 61 0.3× 127 0.8× 36 1.3k
Toshiaki Nitatori Japan 16 704 1.5× 315 1.1× 189 0.8× 97 0.6× 128 0.8× 54 1.2k
Octavia Bane United States 19 506 1.1× 131 0.5× 394 1.6× 51 0.3× 396 2.5× 54 914
Katsuhiro Nasu Japan 19 1.2k 2.5× 210 0.8× 241 1.0× 44 0.3× 370 2.3× 46 1.5k
Mervyn A. Kroeker Canada 15 395 0.8× 543 1.9× 238 1.0× 51 0.3× 179 1.1× 19 1.1k

Countries citing papers authored by Yedaun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yedaun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yedaun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yedaun Lee. A scholar is included among the top collaborators of Yedaun 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 Yedaun Lee. Yedaun 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.
Lee, Yedaun, et al.. (2023). Impact of Deep-Learning Based Reconstruction on Single-Breath-Hold, Single-Shot Fast Spin-Echo in MR Enterography for Crohn’s Disease. SHILAP Revista de lepidopterología. 84(6). 1309–1309. 2 indexed citations
2.
Hahn, Seok, Ho‐Joon Lee, Yedaun Lee, et al.. (2023). Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction. Skeletal Radiology. 52(8). 1545–1555. 12 indexed citations
3.
Kim, Hye Ri, Seung Ho Kim, Yedaun Lee, et al.. (2023). Correlation Between Computed Tomography Findings and the Laboratory Test-Derived Severity Score in Patients With Severe Acute Alcoholic Hepatitis. Journal of Computer Assisted Tomography. 47(4). 548–553. 1 indexed citations
4.
Kim, Hye Ri, et al.. (2023). Closed loop obstruction of small bowel: CT signs predicting successful non-surgical treatment. European Journal of Radiology. 161. 110716–110716. 7 indexed citations
5.
Lee, Seung Soo, Hyo Jung Park, Yu Sub Sung, et al.. (2023). The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning–measured liver volume. European Radiology. 33(9). 5924–5932. 2 indexed citations
6.
Lee, Yedaun. (2023). Primary gastric leiomyosarcoma: a case report and literature review. SHILAP Revista de lepidopterología. 39(1). 60–65.
7.
Kim, Dong Wook, Jiyeon Ha, Seung Soo Lee, et al.. (2021). Population-based and Personalized Reference Intervals for Liver and Spleen Volumes in Healthy Individuals and Those with Viral Hepatitis. Radiology. 301(2). 339–347. 15 indexed citations
8.
Kim, Seung Ho, et al.. (2020). Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer. SHILAP Revista de lepidopterología. 82(2). 406–406. 5 indexed citations
9.
Ahn, Yura, Jee Seok Yoon, Seung Soo Lee, et al.. (2020). Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images. Korean Journal of Radiology. 21(8). 987–987. 48 indexed citations
10.
11.
Lee, Yedaun, et al.. (2020). Non-strangulated adhesive small bowel obstruction: CT findings predicting outcome of conservative treatment. European Radiology. 31(3). 1597–1607. 22 indexed citations
12.
13.
Yoon, Jung Hee, et al.. (2016). Association of non-alcoholic fatty liver disease with renal stone disease detected on computed tomography. European Journal of Radiology Open. 3. 195–199. 26 indexed citations
14.
Kim, Seung Ho, Jung-Hee Yoon, & Yedaun Lee. (2015). Added value of morphologic characteristics on diffusion-weighted images for characterizing lymph nodes in primary rectal cancer. Clinical Imaging. 39(6). 1046–1051. 9 indexed citations
15.
Kim, Woo Gyeong & Yedaun Lee. (2015). Metachronous colonic metastasis from pancreatic cancer presenting as mechanical obstruction: a case report. Clinical Imaging. 39(4). 699–701. 14 indexed citations
16.
Kim, Seung Ho, Kyeong Hwa Ryu, Yedaun Lee, et al.. (2014). Apparent diffusion coefficient for lymph node characterization after chemoradiation therapy for locally advanced rectal cancer. Acta Radiologica. 56(12). 1446–1453. 7 indexed citations
17.
18.
Yoon, Jung-Hee, et al.. (2014). Detection of an accidentally implanted wooden foreign body using CT: case report and literature review. Clinical Imaging. 39(1). 158–160. 5 indexed citations
19.
Kim, Seung Ho, et al.. (2013). Apparent diffusion coefficient for discriminating metastatic from non-metastatic lymph nodes in primary rectal cancer. European Journal of Radiology. 82(11). e662–e668. 79 indexed citations
20.
Lee, Yedaun, Jewon Ryu, Kyungwon Lee, et al.. (2010). In vivo MR evaluation of the effect of the CCR2 antagonist on macrophage migration. Magnetic Resonance in Medicine. 64(1). 72–79. 6 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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2026