Jong‐Min Lee

5.0k total citations
132 papers, 3.3k citations indexed

About

Jong‐Min Lee is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Jong‐Min Lee has authored 132 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 41 papers in Radiology, Nuclear Medicine and Imaging and 35 papers in Psychiatry and Mental health. Recurrent topics in Jong‐Min Lee's work include Functional Brain Connectivity Studies (46 papers), Advanced Neuroimaging Techniques and Applications (37 papers) and Dementia and Cognitive Impairment Research (25 papers). Jong‐Min Lee is often cited by papers focused on Functional Brain Connectivity Studies (46 papers), Advanced Neuroimaging Techniques and Applications (37 papers) and Dementia and Cognitive Impairment Research (25 papers). Jong‐Min Lee collaborates with scholars based in South Korea, United States and Canada. Jong‐Min Lee's co-authors include Sun I. Kim, In Young Kim, Jun Soo Kwon, Hang Joon Jo, Duk L. Na, Kiho Im, Uicheul Yoon, Alan C. Evans, Jae‐Hun Kim and Jin-Ju Yang and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and NeuroImage.

In The Last Decade

Jong‐Min Lee

130 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐Min Lee South Korea 32 1.5k 909 793 418 344 132 3.3k
Fabrizio Piras Italy 36 1.6k 1.0× 770 0.8× 958 1.2× 647 1.5× 502 1.5× 111 3.5k
Baoci Shan China 32 1.5k 1.0× 972 1.1× 592 0.7× 220 0.5× 225 0.7× 150 3.2k
Lars Michels Switzerland 37 2.1k 1.4× 824 0.9× 752 0.9× 296 0.7× 228 0.7× 127 3.9k
Mojtaba Zarei Iran 33 1.6k 1.0× 1.1k 1.3× 737 0.9× 824 2.0× 192 0.6× 91 3.4k
Chuanjun Zhuo China 35 1.7k 1.1× 964 1.1× 852 1.1× 209 0.5× 231 0.7× 206 3.9k
Fidel Alfaro‐Almagro United Kingdom 19 1.5k 1.0× 894 1.0× 488 0.6× 820 2.0× 304 0.9× 35 3.5k
Steven M. Hodge United States 28 2.6k 1.7× 1.2k 1.3× 1.1k 1.4× 349 0.8× 384 1.1× 42 4.2k
Andrea Parolin Jackowski Brazil 38 1.3k 0.8× 682 0.8× 794 1.0× 476 1.1× 716 2.1× 149 4.1k
Chu‐Chung Huang Taiwan 32 2.5k 1.6× 854 0.9× 646 0.8× 661 1.6× 273 0.8× 78 4.0k
Jenni Pacheco United States 9 1.6k 1.1× 1.2k 1.3× 876 1.1× 257 0.6× 162 0.5× 9 3.0k

Countries citing papers authored by Jong‐Min Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Min Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong‐Min Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Min Lee. A scholar is included among the top collaborators of Jong‐Min 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 Jong‐Min Lee. Jong‐Min 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, Jong‐Min, et al.. (2025). LLM-Based Fine-Grained ABAC Policy Generation. 204–212.
2.
Ryu, Dong-Woo, et al.. (2024). Assessing the Impact of Defacing Algorithms on Brain Volumetry Accuracy in MRI Analyses. Dementia and Neurocognitive Disorders. 23(3). 127–127.
3.
4.
Kim, Dohyung, et al.. (2023). Visible Light‐Sensitive Artificial Photonic Synapse. Advanced Optical Materials. 12(4). 29 indexed citations
5.
Moon, So Young, Seong A. Shin, Jee Hyang Jeong, et al.. (2022). Impact of a multidomain lifestyle intervention on regional spontaneous brain activity. Frontiers in Aging Neuroscience. 14. 926077–926077. 7 indexed citations
6.
Kim, Johanna Inhyang, et al.. (2022). Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels. Frontiers in Neuroscience. 16. 935431–935431. 6 indexed citations
7.
Kim, Bo‐Hyun, Kwangsik Nho, & Jong‐Min Lee. (2021). Genome-wide association study identifies susceptibility loci of brain atrophy to NFIA and ST18 in Alzheimer's disease. Neurobiology of Aging. 102. 200.e1–200.e11. 13 indexed citations
8.
Lee, Jong‐Min, et al.. (2021). Learning to Distill Convolutional Features into Compact Local Descriptors. 897–907. 7 indexed citations
9.
Kim, Seung Joo, Young Kyoung Jang, Hyemin Jang, et al.. (2020). The Effects of Longitudinal White Matter Hyperintensity Change on Cognitive Decline and Cortical Thinning over Three Years. Journal of Clinical Medicine. 9(8). 2663–2663. 21 indexed citations
10.
Choi, Yong Ho, et al.. (2020). Gender‐Related and Hemispheric Effects in Cortical Thickness‐Based Hemispheric Brain Morphological Network. BioMed Research International. 2020(1). 3560259–3560259. 7 indexed citations
11.
Lee, Jong‐Min, et al.. (2020). Defect-Passivating Organic/Inorganic Bicomponent Hole-Transport Layer for High Efficiency Metal-Halide Perovskite Device. ACS Applied Materials & Interfaces. 12(36). 40310–40317. 37 indexed citations
12.
Han, Hyun Jeong, Byeong C. Kim, Young Chul Youn, et al.. (2019). A Comparison Study of Cilostazol and Aspirin on Changes in Volume of Cerebral Small Vessel Disease White Matter Changes: Protocol of a Multicenter, Randomized Controlled Trial. Dementia and Neurocognitive Disorders. 18(4). 138–138. 3 indexed citations
13.
Lee, Jae Jung, et al.. (2018). Gender-specific effect of uric acid on resting-state functional networks in de novo Parkinson's disease. Parkinsonism & Related Disorders. 52. 49–54. 15 indexed citations
14.
Park, Hyunjin, et al.. (2017). Agreement between functional connectivity and cortical thickness-driven correlation maps of the medial frontal cortex. PLoS ONE. 12(3). e0171803–e0171803. 8 indexed citations
15.
Kim, Johanna Inhyang, Jae-Won Kim, Jong‐Min Lee, et al.. (2017). Interaction between DRD2 and lead exposure on the cortical thickness of the frontal lobe in youth with attention-deficit/hyperactivity disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 82. 169–176. 23 indexed citations
16.
Sunwoo, Mun Kyung, Hyuk Jin Yun, Sook Keun Song, et al.. (2014). Mesenchymal stem cells can modulate longitudinal changes in cortical thickness and its related cognitive decline in patients with multiple system atrophy. Frontiers in Aging Neuroscience. 6. 118–118. 12 indexed citations
17.
Im, Kiho, Yu Yong Choi, Jin‐Ju Yang, et al.. (2011). The relationship between the presence of sulcal pits and intelligence in human brains. NeuroImage. 55(4). 1490–1496. 31 indexed citations
18.
Kim, Jae‐Hun, Jong‐Min Lee, Hang Joon Jo, et al.. (2009). Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method. NeuroImage. 49(3). 2375–2386. 218 indexed citations
19.
Lee, Jun Ki, Jong‐Min Lee, June Sic Kim, et al.. (2006). A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom. NeuroImage. 31(2). 572–584. 92 indexed citations
20.
Senthil, Kalaiselvi, et al.. (2001). Factors Affecting the Transformation of Bentgrass (Agrostis spp.) Based on Agrobacterium tumefaciens. Han'gug weon'ye haghoeji. 42(3). 243–248. 1 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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