Joonsung Lee

1.1k total citations
51 papers, 811 citations indexed

About

Joonsung Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Joonsung Lee has authored 51 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Electrical and Electronic Engineering and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Joonsung Lee's work include Advanced MRI Techniques and Applications (25 papers), Atomic and Subatomic Physics Research (11 papers) and MRI in cancer diagnosis (7 papers). Joonsung Lee is often cited by papers focused on Advanced MRI Techniques and Applications (25 papers), Atomic and Subatomic Physics Research (11 papers) and MRI in cancer diagnosis (7 papers). Joonsung Lee collaborates with scholars based in South Korea, United States and Spain. Joonsung Lee's co-authors include Dong‐Hyun Kim, Elfar Adalsteinsson, Lawrence L. Wald, Matthias Gebhardt, Jin Keun Seo, Oh In Kwon, Eung Je Woo, Ho Sung Kim, Ji Eun Park and Young‐Hoon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Oncogene.

In The Last Decade

Joonsung Lee

44 papers receiving 798 citations

Peers

Joonsung Lee
Andreas Pohlmann Germany
M. Takahashi Japan
Hiroo Ikehira Japan
Daniel A. Finelli United States
Masayasu Miyake Japan
Daniel Schaefer United States
Allahyar Kangarlu United States
Mahnaz Shahidi United States
Mi‐Ae Park United States
Helmar Waiczies Germany
Andreas Pohlmann Germany
Joonsung Lee
Citations per year, relative to Joonsung Lee Joonsung Lee (= 1×) peers Andreas Pohlmann

Countries citing papers authored by Joonsung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Joonsung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonsung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joonsung Lee. A scholar is included among the top collaborators of Joonsung 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 Joonsung Lee. Joonsung 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.
Kim, Sam Soo, et al.. (2025). Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction. Korean Journal of Radiology. 26(2). 180–180. 2 indexed citations
2.
Kurt, Mehmet, et al.. (2025). Dynamic visualization of brain pulsations using amplified MRI: methodology and applications. Interface Focus. 15(1). 20240049–20240049.
3.
Choi, Jae Won, Yeon Jin Cho, Seul Bi Lee, et al.. (2025). Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging. Pediatric Radiology. 55(9). 1903–1914. 1 indexed citations
4.
Lee, Chena, et al.. (2025). Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging. Dentomaxillofacial Radiology. 54(4). 302–306.
5.
6.
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
7.
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
8.
Cho, Eun, Hye Jin Baek, Filip Szczepankiewicz, et al.. (2022). Clinical experience of tensor-valued diffusion encoding for microstructure imaging by diffusional variance decomposition in patients with breast cancer. Quantitative Imaging in Medicine and Surgery. 12(3). 2002–2017. 6 indexed citations
9.
Kim, Ho Sung, et al.. (2022). Deep learning-based image reconstruction improves radiologic evaluation of pituitary axis and cavernous sinus invasion in pituitary adenoma. European Journal of Radiology. 158. 110647–110647. 11 indexed citations
10.
Jung, Won Beom, Felix Schlegel, Joonsung Lee, et al.. (2018). Mouse fMRI under ketamine and xylazine anesthesia: Robust contralateral somatosensory cortex activation in response to forepaw stimulation. NeuroImage. 177. 30–44. 60 indexed citations
11.
Park, Sangwon, Joonsung Lee, & Chungyong Lee. (2017). A Space Shift Keying for Downlink Multi-User Transmission With Partial CSI in Massive MIMO Systems. IEEE Communications Letters. 22(3). 506–509. 2 indexed citations
12.
Lee, Joonsung, Young‐Suk Choi, Jae Mo Park, et al.. (2015). Metabolite-selective hyperpolarized 13C imaging using extended chemical shift displacement at 9.4 T. Magnetic Resonance Imaging. 34(4). 535–540. 9 indexed citations
13.
Miao, Hui, Hong Guo, Juan Qian, et al.. (2014). EphA2 promotes infiltrative invasion of glioma stem cells in vivo through cross-talk with Akt and regulates stem cell properties. Oncogene. 34(5). 558–567. 134 indexed citations
14.
Lee, Joonsung, et al.. (2014). A modified multi-echo AFI for simultaneous B1+ magnitude and phase mapping. Magnetic Resonance Imaging. 32(4). 314–320. 9 indexed citations
15.
Lee, Joonsung, et al.. (2013). Accelerated MR whole brain imaging with sheared voxel imaging using aliasing separation gradients. Medical Physics. 40(6Part1). 62301–62301. 2 indexed citations
16.
Lee, Joonsung, Matthias Gebhardt, Lawrence L. Wald, & Elfar Adalsteinsson. (2011). Local SAR in parallel transmission pulse design. Magnetic Resonance in Medicine. 67(6). 1566–1578. 74 indexed citations
17.
Seo, Jin Keun, Joonsung Lee, Eung Je Woo, et al.. (2011). Error Analysis of Nonconstant Admittivity for MR-Based Electric Property Imaging. IEEE Transactions on Medical Imaging. 31(2). 430–437. 83 indexed citations
18.
Lee, Joonsung, et al.. (2007). Ureteral obstruction caused by mucocele of the appendix: MDCT findings. Australasian Radiology. 51(s1). B59–61. 3 indexed citations
19.
Lee, Joonsung, et al.. (2003). Low Complexity Reverselink Beamforming Based on Simplex Downhill Optimization Method for CDMA Systems. IEICE Transactions on Communications. 86(8). 2541–2544.
20.
Lee, Joonsung, et al.. (2002). A simplified reverse beamforming algorithm based on simplex downhill optimization method for DS/CDMA Communication. 한국통신학회 학술대회논문집. 2101–2104.

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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