Hyunyeol Lee

464 total citations
36 papers, 331 citations indexed

About

Hyunyeol Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Hyunyeol Lee has authored 36 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Atomic and Molecular Physics, and Optics and 4 papers in Cognitive Neuroscience. Recurrent topics in Hyunyeol Lee's work include Advanced MRI Techniques and Applications (26 papers), Medical Imaging Techniques and Applications (12 papers) and Atomic and Subatomic Physics Research (11 papers). Hyunyeol Lee is often cited by papers focused on Advanced MRI Techniques and Applications (26 papers), Medical Imaging Techniques and Applications (12 papers) and Atomic and Subatomic Physics Research (11 papers). Hyunyeol Lee collaborates with scholars based in United States, South Korea and Italy. Hyunyeol Lee's co-authors include Félix W. Wehrli, Jaeseok Park, Hee Kwon Song, Eung Yeop Kim, Xia Zhao, Michael C. Langham, Junghun Cho, Erin K. Englund, Emma Biondetti and Jong Hee Chang and has published in prestigious journals such as NeuroImage, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Hyunyeol Lee

35 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyunyeol Lee United States 12 240 55 33 33 30 36 331
Nicholas M. Bolas United Kingdom 10 205 0.9× 21 0.4× 15 0.5× 19 0.6× 10 0.3× 17 355
Robert Stobbe Canada 12 455 1.9× 100 1.8× 25 0.8× 21 0.6× 8 0.3× 28 511
Benjamin R. Knowles Germany 15 353 1.5× 44 0.8× 16 0.5× 13 0.4× 69 2.3× 27 553
Christopher Glielmi United States 11 297 1.2× 20 0.4× 57 1.7× 8 0.2× 153 5.1× 24 493
André Ahlgren Sweden 12 276 1.1× 11 0.2× 16 0.5× 20 0.6× 15 0.5× 24 440
Timo Schirmer Germany 9 318 1.3× 38 0.7× 13 0.4× 30 0.9× 53 1.8× 15 528
J. P. Finn United States 11 405 1.7× 62 1.1× 87 2.6× 92 2.8× 9 0.3× 16 626
Paula Croal United Kingdom 11 132 0.6× 21 0.4× 29 0.9× 25 0.8× 63 2.1× 14 256
Yi Sui United States 15 431 1.8× 11 0.2× 59 1.8× 18 0.5× 32 1.1× 35 637
Lindsey M. Dethrage United States 10 241 1.0× 26 0.5× 66 2.0× 23 0.7× 48 1.6× 12 349

Countries citing papers authored by Hyunyeol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyunyeol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunyeol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunyeol Lee. A scholar is included among the top collaborators of Hyunyeol 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 Hyunyeol Lee. Hyunyeol 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.
Ahn, Sung Jun, et al.. (2024). Automated Brain Segmentation on Computed Tomographic Images Using Perceptual Loss Based Convolutional Neural Networks. Investigative Magnetic Resonance Imaging. 28(4). 193–193.
3.
Kim, Yo-Han, Arastoo Vossough, Hyunyeol Lee, et al.. (2024). Craniofacial Imaging of Pediatric Patients by Ultrashort Echo-Time Bone-Selective MRI in Comparison to CT. Academic Radiology. 31(11). 4629–4642. 1 indexed citations
4.
Lee, Hyunyeol, et al.. (2024). Validation of a new 3D quantitative BOLD based cerebral oxygen extraction mapping. Journal of Cerebral Blood Flow & Metabolism. 44(7). 1184–1198. 2 indexed citations
5.
Jones, Brandon C., et al.. (2023). Six-minute, in vivo MRI quantification of proximal femur trabecular bone 3D microstructure. Bone. 177. 116900–116900. 2 indexed citations
6.
Jones, Brandon C., Hyunyeol Lee, Cheng‐Chieh Cheng, et al.. (2023). MRI Quantification of Cortical Bone Porosity, Mineralization, and Morphologic Structure in Postmenopausal Osteoporosis. Radiology. 307(2). e221810–e221810. 17 indexed citations
7.
Langham, Michael C., et al.. (2023). Quantification of whole‐organ individual and bilateral renal metabolic rate of oxygen. Magnetic Resonance in Medicine. 91(5). 2057–2073. 5 indexed citations
8.
Jones, Brandon C., Hyunyeol Lee, Hee Kwon Song, et al.. (2023). Cranial bone imaging using ultrashort echo-time bone-selective MRI as an alternative to gradient-echo based “black-bone” techniques. Magnetic Resonance Materials in Physics Biology and Medicine. 37(1). 83–92. 8 indexed citations
9.
Biondetti, Emma, Junghun Cho, & Hyunyeol Lee. (2023). Cerebral oxygen metabolism from MRI susceptibility. NeuroImage. 276. 120189–120189. 25 indexed citations
10.
Lee, Hyunyeol & Félix W. Wehrli. (2022). Whole-brain 3D mapping of oxygen metabolism using constrained quantitative BOLD. NeuroImage. 250. 118952–118952. 13 indexed citations
11.
Lee, Hyunyeol, Xia Zhao, Hee Kwon Song, et al.. (2020). Bone-Selective MRI as a Nonradiative Alternative to CT for Craniofacial Imaging. Academic Radiology. 27(11). 1515–1522. 11 indexed citations
12.
Chen, Liyong, et al.. (2019). Simultaneous Multi-VENC and Simultaneous Multi-Slice Phase Contrast Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 39(3). 742–752. 2 indexed citations
13.
14.
Rodríguez‐Soto, Ana E., Osheiza Abdulmalik, Michael C. Langham, et al.. (2017). T2‐prepared balanced steady‐state free precession (bSSFP) for quantifying whole‐blood oxygen saturation at 1.5T. Magnetic Resonance in Medicine. 79(4). 1893–1900. 14 indexed citations
15.
Lee, Hyunyeol, Michael C. Langham, Ana E. Rodríguez‐Soto, & Félix W. Wehrli. (2017). Multiplexed MRI methods for rapid estimation of global cerebral metabolic rate of oxygen consumption. NeuroImage. 149. 393–403. 10 indexed citations
16.
Lee, Hyunyeol, Eung Yeop Kim, Chul‐Ho Sohn, & Jaeseok Park. (2017). Rapid whole‐brain gray matter imaging using single‐slab three‐dimensional dual‐echo fast spin echo: A feasibility study. Magnetic Resonance in Medicine. 78(5). 1691–1699. 3 indexed citations
17.
Lee, Hyunyeol & Jaeseok Park. (2012). SNR‐optimized phase‐sensitive dual‐acquisition turbo spin echo imaging: A fast alternative to FLAIR. Magnetic Resonance in Medicine. 70(1). 106–116. 2 indexed citations
18.
Park, Jaeseok, Jinna Kim, Eunhye Yoo, et al.. (2011). Detection of Small Metastatic Brain Tumors. Investigative Radiology. 47(2). 136–141. 43 indexed citations
19.
Lee, Hyunyeol, Eung Yeop Kim, Kyung‐Sook Yang, & Jaeseok Park. (2011). Susceptibility-resistant variable-flip-angle turbo spin echo imaging for reliable estimation of cortical thickness: A feasibility study. NeuroImage. 59(1). 377–388. 6 indexed citations
20.
Alavi, Abass, et al.. (1997). Neuroimaging of Acupuncture in Patients with Chronic Pain. The Journal of Alternative and Complementary Medicine. 3(supplement 1). s–47. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nicholas M. Bolas Breakdown of academic impact, for papers by Robert Stobbe Breakdown of academic impact, for papers by Benjamin R. Knowles Breakdown of academic impact, for papers by Christopher Glielmi Breakdown of academic impact, for papers by André Ahlgren Breakdown of academic impact, for papers by Timo Schirmer Breakdown of academic impact, for papers by J. P. Finn Breakdown of academic impact, for papers by Paula Croal Breakdown of academic impact, for papers by Yi Sui Breakdown of academic impact, for papers by Lindsey M. Dethrage
Rankless by CCL
2026