Goo‐Rak Kwon

2.3k total citations
117 papers, 1.6k citations indexed

About

Goo‐Rak Kwon is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Goo‐Rak Kwon has authored 117 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 48 papers in Neurology and 23 papers in Artificial Intelligence. Recurrent topics in Goo‐Rak Kwon's work include Brain Tumor Detection and Classification (46 papers), Medical Image Segmentation Techniques (16 papers) and Dementia and Cognitive Impairment Research (15 papers). Goo‐Rak Kwon is often cited by papers focused on Brain Tumor Detection and Classification (46 papers), Medical Image Segmentation Techniques (16 papers) and Dementia and Cognitive Impairment Research (15 papers). Goo‐Rak Kwon collaborates with scholars based in South Korea, United States and Germany. Goo‐Rak Kwon's co-authors include Ramesh Kumar Lama, Jae-Young Pyun, Debesh Jha, Ji‐In Kim, Yubraj Gupta, Chun‐Su Park, Saruar Alam, Kun Ho Lee, Byeong C. Kim and Kyu Yeong Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Goo‐Rak Kwon

108 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goo‐Rak Kwon South Korea 25 632 489 378 295 219 117 1.6k
Heikki Huttunen Finland 20 240 0.4× 589 1.2× 533 1.4× 289 1.0× 145 0.7× 90 2.2k
Carlos G. Puntonet Spain 26 323 0.5× 532 1.1× 475 1.3× 200 0.7× 174 0.8× 109 2.1k
Jenny Benois‐Pineau France 21 308 0.5× 743 1.5× 335 0.9× 184 0.6× 184 0.8× 115 1.5k
Tong Tong China 20 516 0.8× 1.6k 3.2× 560 1.5× 308 1.0× 544 2.5× 101 2.7k
Siqi Liu China 15 255 0.4× 255 0.5× 412 1.1× 146 0.5× 197 0.9× 74 1.1k
Modjtaba Rouhani Iran 17 302 0.5× 354 0.7× 414 1.1× 104 0.4× 110 0.5× 59 1.3k
Atif Mehmood China 16 385 0.6× 249 0.5× 359 0.9× 115 0.4× 169 0.8× 64 1.2k
D. Salas-González Spain 31 872 1.4× 983 2.0× 656 1.7× 424 1.4× 394 1.8× 92 2.5k
Hong Cheng China 16 270 0.4× 295 0.6× 467 1.2× 74 0.3× 135 0.6× 60 1.2k
I. Álvarez Spain 30 714 1.1× 752 1.5× 515 1.4× 422 1.4× 340 1.6× 75 2.2k

Countries citing papers authored by Goo‐Rak Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Goo‐Rak Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goo‐Rak Kwon. 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 Goo‐Rak Kwon. The network helps show where Goo‐Rak Kwon may publish in the future.

Co-authorship network of co-authors of Goo‐Rak Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Goo‐Rak Kwon. A scholar is included among the top collaborators of Goo‐Rak Kwon 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 Goo‐Rak Kwon. Goo‐Rak Kwon 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, Jun‐Hyung & Goo‐Rak Kwon. (2025). Image-Level Anti-Personnel Landmine Detection Using Deep Learning in Long-Wave Infrared Images. Applied Sciences. 15(15). 8613–8613.
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Kim, Jun‐Hyung & Goo‐Rak Kwon. (2024). Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer. IEEE Access. 12. 127604–127613. 1 indexed citations
5.
Lama, Ramesh Kumar & Goo‐Rak Kwon. (2023). Resting-State Functional Connectivity Difference in Alzheimer’s Disease and Mild Cognitive Impairment Using Threshold-Free Cluster Enhancement. Diagnostics. 13(19). 3074–3074. 1 indexed citations
6.
Kwon, Goo‐Rak, et al.. (2023). Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET. Bioengineering. 10(10). 1225–1225. 7 indexed citations
7.
Kim, Ji‐In, et al.. (2023). Genetics Information with Functional Brain Networks for Dementia Classification. Mathematics. 11(6). 1529–1529. 3 indexed citations
8.
Lee, Eunji, et al.. (2022). Comparative analysis of solar power generation prediction system using deep learning. 383–386. 1 indexed citations
9.
Kwon, Goo‐Rak, et al.. (2022). A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification. Scientific Reports. 12(1). 14978–14978. 9 indexed citations
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Kwon, Goo‐Rak, et al.. (2021). Classification of Alzheimer Disease by Combining Hippocampus Volume and Cortical Thickness from sMRI, Plus APoE ε4 and CSF Biomarkers. IEIE Transactions on Smart Processing and Computing. 10(1). 1–9. 1 indexed citations
12.
Gupta, Yubraj, Ji‐In Kim, Byeong C. Kim, & Goo‐Rak Kwon. (2020). Classification and Graphical Analysis of Alzheimer’s Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype. Frontiers in Aging Neuroscience. 12. 238–238. 37 indexed citations
13.
Wang, Chuntao, et al.. (2018). A New Encryption-then-Compression Scheme on Gray Images Using the Markov Random Field. Cmc-computers Materials & Continua. 56(1). 107–121. 2 indexed citations
14.
Kwon, Goo‐Rak, et al.. (2018). Maximizing network utilization in IEEE 802.21 assisted vertical handover over wireless heterogeneous networks. Victoria University Research Repository (Victoria University). 6 indexed citations
15.
Sthapit, Pranesh, et al.. (2013). Fast Association Scheme over IEEE 802.15.4 based Mobile Sensor Network. 179–184. 5 indexed citations
16.
Thapaliya, Kiran, Jae-Young Pyun, Chun‐Su Park, & Goo‐Rak Kwon. (2013). Level set method with automatic selective local statistics for brain tumor segmentation in MR images. Computerized Medical Imaging and Graphics. 37(7-8). 522–537. 35 indexed citations
17.
Thapaliya, Kiran & Goo‐Rak Kwon. (2012). Extraction of brain tumor based on morphological operations. 1. 515–520. 20 indexed citations
18.
Hwang, Suk-Seung, Cheol Young Park, SeongMin Kim, et al.. (2012). TPMS switching beamformer based on duplex wireless communications for interference suppression. 228–233. 1 indexed citations
19.
Kwon, Goo‐Rak. (2008). Digital Rights Management of A/V Codec for Mobile Devices. ICEIC : International Conference on Electronics, Informations and Communications. 1071–1074. 1 indexed citations
20.
Kwon, Goo‐Rak, et al.. (2004). A Novel Motion Vector Refinement Algorithm for Spatial Resolution Reduction Transcoding. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1319–1322. 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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2026