Sun I. Kim

1.2k total citations · 1 hit paper
18 papers, 979 citations indexed

About

Sun I. Kim is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sun I. Kim has authored 18 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sun I. Kim's work include Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Virtual Reality Applications and Impacts (4 papers). Sun I. Kim is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Virtual Reality Applications and Impacts (4 papers). Sun I. Kim collaborates with scholars based in South Korea, Canada and United States. Sun I. Kim's co-authors include Alan C. Evans, Yasser Ad-Dab’bagh, Vivek Kumar Singh, David MacDonald, Jason P. Lerch, June Sic Kim, Jun Ki Lee, In Young Kim, Jong‐Min Lee and Jun Soo Kwon and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Investigative Ophthalmology & Visual Science.

In The Last Decade

Sun I. Kim

17 papers receiving 953 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

2005 680 citations June Sic Kim, Vivek Kumar Singh et al. NeuroImage profile →

Peers

Sun I. Kim

RNMI

PMH

CVPR

PHYSI

Jun Ki Lee South Korea

Vivek Kumar Singh United States

Yasser Ad-Dab’bagh Canada

Cornelius Hojatkashani United States

Oliver Lyttelton Canada

Anil Rao United Kingdom

Benjamin Thyreau Japan

Min‐Seong Koo South Korea

Weihao Zheng China

Tibor Auer United Kingdom

Jun Ki Lee South Korea

Sun I. Kim

479 ×0.8

400 ×1.0

RNMI

328 ×1.3

PMH

88 ×0.8

CVPR

72 ×0.9

PHYSI

Citations per year, relative to Sun I. Kim Sun I. Kim (= 1×) peers Jun Ki Lee

Countries citing papers authored by Sun I. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Sun I. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun I. Kim. 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 Sun I. Kim. The network helps show where Sun I. Kim may publish in the future.

Co-authorship network of co-authors of Sun I. Kim

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

All Works

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18 of 18 papers shown

Ku, Jeonghun, Hyeongrae Lee, Jae‐Jin Kim, In Young Kim, & Sun I. Kim. (2012). Brain mechanism involved in the real motion interaction with a virtual avatar. Biomedical Engineering Letters. 2(3). 164–172. 3 indexed citations

Shin, Yong Un, Sungmin Kim, Byung Ro Lee, Joong Won Shin, & Sun I. Kim. (2011). Novel Noninvasive Detection of the Fovea Avascular Zone Using Confocal Red-Free Imaging in Diabetic Retinopathy and Retinal Vein Occlusion. Investigative Ophthalmology & Visual Science. 53(1). 309–309. 6 indexed citations

Kim, Sungmin, Jaesung Hong, Atsushi Yamada, et al.. (2011). Dual Surgical Navigation Using Augmented and Virtual Environment Techniques. International Journal of Optomechatronics. 5(2). 155–169. 9 indexed citations

Park, Il Ho, et al.. (2010). DISRUPTED THEORY OF MIND NETWORK PROCESSING IN RESPONSE TO IDEA OF REFERENCE EVOCATION IN SCHIZOPHRENIA. Schizophrenia Research. 117(2-3). 464–465. 1 indexed citations

Kim, Sun I., Jeonghun Ku, Kiwan Han, et al.. (2008). Virtual reality applications for patients with schizophrenia. 1(1). 101–112. 10 indexed citations

Yoon, Uicheul, Jong‐Min Lee, Yong‐Wook Shin, et al.. (2007). Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. NeuroImage. 34(4). 1405–1415. 81 indexed citations

Lee, Junki, Jong‐Min Lee, Jae‐Hun Kim, et al.. (2006). A Novel Quantitative Validation of the Cortical Surface Reconstruction Algorithm Using MRI Phantom: Issues on Local Geometric Accuracy and Cortical Thickness. Lecture notes in computer science. 9(Pt 1). 183–190. 11 indexed citations

Kim, Sun Hyung, Jong‐Min Lee, Dong Pyo Jang, et al.. (2005). Asymmetry analysis of deformable hippocampal model using the principal component in schizophrenia. Human Brain Mapping. 25(4). 361–369. 21 indexed citations

Kim, June Sic, Vivek Kumar Singh, Jun Ki Lee, et al.. (2005). Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. NeuroImage. 27(1). 210–221. 680 indexed citations breakdown →

10.

Koo, Bang‐Bon, Jong‐Min Lee, Yong‐Wook Shin, et al.. (2005). Representative brain selection using a group-specific tissue probability map. Magnetic Resonance Imaging. 23(7). 809–815. 1 indexed citations

11.

Lee, Jong‐Min, Dae‐Jin Kim, In Young Kim, Kwang Suk Park, & Sun I. Kim. (2004). Nonlinear-analysis of human sleep EEG using detrended fluctuation analysis. Medical Engineering & Physics. 26(9). 773–776. 51 indexed citations

12.

Yoon, Uicheul, Jong‐Min Lee, Jae‐Jin Kim, et al.. (2003). Modified Magnetic Resonance Image Based Parcellation Method for Cerebral Cortex using Successive Fuzzy Clustering and Boundary Detection. Annals of Biomedical Engineering. 31(4). 441–447. 20 indexed citations

13.

Lee, Jongmin, et al.. (2003). Validation of automatically measured monophasic action potential recordings. Computers in Biology and Medicine. 34(7). 577–589.

14.

Lee, Jae Moo, et al.. (2002). Virtual Reality System for Treatment of the Fear of Public Speaking Using Image-Based Rendering and Moving Pictures. CyberPsychology & Behavior. 5(3). 191–195. 24 indexed citations

15.

Lee, Jong‐Min, et al.. (2002). Intensity based affine registration including feature similarity for spatial normalization. Computers in Biology and Medicine. 32(5). 389–402. 4 indexed citations

16.

Choi, Young Hee, et al.. (2001). Short-Term Treatment of Acrophobia with Virtual Reality Therapy (VRT): A Case Report. CyberPsychology & Behavior. 4(3). 349–354. 32 indexed citations

17.

Kim, Jaeseok, et al.. (2001). A study for watermark methods appropriate to medical images. Journal of Digital Imaging. 14(S1). 184–186. 5 indexed citations

18.

Park, Hyun S., et al.. (1998). Detection of epileptiform activities in the EEG using neural network and expert system.. PubMed. 52 Pt 2. 1255–9. 20 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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