Si Eun Lee

2.3k total citations
53 papers, 1.7k citations indexed

About

Si Eun Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Si Eun Lee has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Epidemiology and 15 papers in Artificial Intelligence. Recurrent topics in Si Eun Lee's work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (15 papers) and Preterm Birth and Chorioamnionitis (14 papers). Si Eun Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (15 papers) and Preterm Birth and Chorioamnionitis (14 papers). Si Eun Lee collaborates with scholars based in South Korea and United States. Si Eun Lee's co-authors include Bo Hyun Yoon, Roberto Romero, Jeong Hee Kim, Hyun Jin Hwang, Chan‐Wook Park, Eun‐Kyung Kim, Jong Kwan Jun, Joong Shin Park, Hyo Suk Seong and Kyunghwa Han and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Si Eun Lee

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Eun Lee South Korea 18 837 510 354 334 275 53 1.7k
Xinyan Liu China 18 182 0.2× 127 0.2× 95 0.3× 8 0.0× 87 0.3× 69 1.4k
Harry Cheuk-Hay Lau Hong Kong 26 662 0.8× 93 0.2× 279 0.8× 12 0.0× 36 0.1× 55 3.3k
Bassem Refaat Saudi Arabia 24 149 0.2× 360 0.7× 60 0.2× 89 0.3× 18 0.1× 88 1.5k
Jie Ren China 21 117 0.1× 52 0.1× 108 0.3× 27 0.1× 24 0.1× 121 1.4k
Dana Carmen Zaha Romania 20 160 0.2× 61 0.1× 90 0.3× 7 0.0× 65 0.2× 60 1.1k
James P. Nolan United States 25 537 0.6× 141 0.3× 191 0.5× 9 0.0× 47 0.2× 59 2.4k
Wei-Cheng Chen Taiwan 24 245 0.3× 39 0.1× 214 0.6× 8 0.0× 40 0.1× 105 1.8k
Yueqiong Ni Germany 17 334 0.4× 96 0.2× 49 0.1× 10 0.0× 22 0.1× 29 1.7k
Kazuyuki Kasahara Japan 19 206 0.2× 131 0.3× 99 0.3× 15 0.0× 70 0.3× 29 1.9k
Maria Aparecida Marchesan Rodrigues Brazil 25 204 0.2× 108 0.2× 142 0.4× 13 0.0× 73 0.3× 137 1.9k

Countries citing papers authored by Si Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Si Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Eun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Si Eun Lee. A scholar is included among the top collaborators of Si Eun 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 Si Eun Lee. Si Eun 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, Si Eun, et al.. (2024). Diagnostic performance with and without artificial intelligence assistance in real-world screening mammography. European Journal of Radiology Open. 12. 100545–100545. 9 indexed citations
3.
Lee, Si Eun, Hye Jung Kim, Hae Kyoung Jung, et al.. (2024). Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance. Frontiers in Endocrinology. 15. 1372397–1372397. 1 indexed citations
4.
Lee, Si Eun, et al.. (2024). Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography. Korean Journal of Radiology. 25(4). 343–343. 7 indexed citations
5.
Lee, Si Eun, Jung Hyun Yoon, Nak‐Hoon Son, Kyunghwa Han, & Hee Jung Moon. (2023). Screening in Patients With Dense Breasts: Comparison of Mammography, Artificial Intelligence, and Supplementary Ultrasound. American Journal of Roentgenology. 222(1). e2329655–e2329655. 13 indexed citations
6.
Oh, Kangrok, Si Eun Lee, & Eun‐Kyung Kim. (2023). 3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net. Scientific Reports. 13(1). 22625–22625. 6 indexed citations
7.
Lee, Si Eun, Kyunghwa Han, Ji Hyun Youk, et al.. (2022). Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level. ULTRASONOGRAPHY. 41(4). 718–727. 6 indexed citations
8.
Lee, Si Eun, Nak‐Hoon Son, Myung Hyun Kim, & Eun‐Kyung Kim. (2022). Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment. Journal of Digital Imaging. 35(2). 173–179. 17 indexed citations
9.
Lee, Si Eun, Eunjung Lee, Eun‐Kyung Kim, et al.. (2022). Application of Artificial Intelligence Computer-Assisted Diagnosis Originally Developed for Thyroid Nodules to Breast Lesions on Ultrasound. Journal of Digital Imaging. 35(6). 1699–1707. 4 indexed citations
10.
Lee, Si Eun, Kyunghwa Han, & Eun‐Kyung Kim. (2021). Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms. European Radiology. 31(9). 6929–6937. 11 indexed citations
11.
Lee, Si Eun, et al.. (2020). Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis. Scientific Reports. 10(1). 21566–21566. 42 indexed citations
12.
13.
Lee, Seung Mi, Joonho Lee, Hyo Suk Seong, et al.. (2009). The clinical significance of a positive Amnisure test™ in women with term labor with intact membranes. The Journal of Maternal-Fetal & Neonatal Medicine. 22(4). 305–310. 61 indexed citations
14.
Lee, Si Eun, Roberto Romero, Seung Mi Lee, & Bo Hyun Yoon. (2009). Amniotic fluid volume in intra-amniotic inflammation with and without culture-proven amniotic fluid infection in preterm premature rupture of membranes. Journal of Perinatal Medicine. 38(1). 39–44. 42 indexed citations
15.
Lee, Si Eun, et al.. (2007). The intensity of the fetal inflammatory response in intraamniotic inflammation with and without microbial invasion of the amniotic cavity. American Journal of Obstetrics and Gynecology. 197(3). 294.e1–294.e6. 110 indexed citations
16.
Lee, Si Eun, Joong Shin Park, Errol R. Norwitz, et al.. (2007). Measurement of Placental Alpha-Microglobulin-1 in Cervicovaginal Discharge to Diagnose Rupture of Membranes. Obstetrics and Gynecology. 109(3). 634–640. 85 indexed citations
17.
Chae, Soo Jin, Byoung Jae Kim, Si Eun Lee, et al.. (2006). Perinatal Outcomes of Triplet Pregnancies. Obstetrics & Gynecology Science. 49(5). 1051–1059.
18.
Lee, Si Eun. (2006). Investigation of Cooking Usage According to the Physiochemical and Textural Characteristics in Nabakkimchi with Different Radish Cultivars. Culinary Science & Hospitality Research. 12(4). 284–298. 2 indexed citations
19.
Lee, Si Eun, Roberto Romero, Chong Jai Kim, Soon‐Sup Shim, & Bo Hyun Yoon. (2006). Funisitis in term pregnancy is associated with microbial invasion of the amniotic cavity and intra-amniotic inflammation. The Journal of Maternal-Fetal & Neonatal Medicine. 19(11). 693–697. 69 indexed citations
20.
Lee, Si Eun, et al.. (2002). Antioxidant activity of extracts from Euryale ferox seed. Experimental & Molecular Medicine. 34(2). 100–106. 48 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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