Jun Ki Lee

1.2k citations
4 papers · 880 indexed · 1 hit paper · h-index 3
Topics
Advanced Neuroimaging Techniques and Applications (2 papers)Medical Image Segmentation Techniques (2 papers)Functional Brain Connectivity Studies (1 paper)
Journals
NeuroImage
Partner nations
South KoreaCanada

In The Last Decade

Jun Ki Lee

4 papers receiving 870 citations

Hit Papers

Automated 3-D extraction and evaluation of the inner and ...20052026201220192005200400600

Peers

Jun Ki Lee
Comparison fields: 5 of 87
  • Cognitive Neuroscience 479
  • Radiology, Nuclear Medicine and Imaging 400
  • Psychiatry and Mental health 328
  • Pediatrics, Perinatology and Child Health 92
  • Computer Vision and Pattern Recognition 88
Replace Sun I. Kim with:
Sun I. Kim South Korea
Oliver Lyttelton Canada
M SHENTON United States
Anil Rao United Kingdom
Kristi A. Clark United States
Benoît Caldairou Canada
Maristela S. Schaufelberger Brazil
Julie L. Winterburn Canada
Andrea D. Klunder United States
Min‐Seong Koo South Korea
Jun Ki Lee relative to Sun I. Kim South Korea Sun I. Kim's profile →
Citations per field
00.5×1.5×
Sun I. Kim · 1×
Citations per year

Countries citing papers authored by Jun Ki Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ki Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ki Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ki Lee. A scholar is included among the top collaborators of Jun Ki 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 Jun Ki Lee. Jun Ki Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 107
3 92
4
Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classificationbreakdown →
680

About Jun Ki Lee

Jun Ki Lee is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 4 papers that have together received 880 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (479 citations), Psychiatry and Mental health (328 citations) and Radiology, Nuclear Medicine and Imaging (400 citations). Jun Ki Lee has collaborated with scholars based in South Korea and Canada. Frequent co-authors include Alan C. Evans, June Sic Kim, Yasser Ad-Dab’bagh, David MacDonald, Vivek Kumar Singh, Jason P. Lerch, Sun I. Kim, Jong‐Min Lee, Sun I. Kim and Joong Koo Kang. Their work appears in journals such as NeuroImage.

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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