Soonchul Kwon

566 total citations
74 papers, 370 citations indexed

About

Soonchul Kwon is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction. According to data from OpenAlex, Soonchul Kwon has authored 74 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 12 papers in Human-Computer Interaction. Recurrent topics in Soonchul Kwon's work include Advanced Optical Imaging Technologies (13 papers), Advanced Vision and Imaging (12 papers) and Computer Graphics and Visualization Techniques (8 papers). Soonchul Kwon is often cited by papers focused on Advanced Optical Imaging Technologies (13 papers), Advanced Vision and Imaging (12 papers) and Computer Graphics and Visualization Techniques (8 papers). Soonchul Kwon collaborates with scholars based in South Korea. Soonchul Kwon's co-authors include Seung-Hyun Lee, Ji‐Sang Yoo, Jinwoong Kim, Sangha Lee, Jungho Kim, Eun-Young Chang, Jae‐Han Kim, Changsik John Pak, Hoonjong Kang and Yongsuk Choi and has published in prestigious journals such as PLoS ONE, Optics Express and IEEE Access.

In The Last Decade

Soonchul Kwon

68 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soonchul Kwon South Korea 10 163 100 66 54 44 74 370
Hanhoon Park South Korea 12 378 2.3× 181 1.8× 57 0.9× 44 0.8× 94 2.1× 82 523
Jan Fischer Germany 14 379 2.3× 59 0.6× 34 0.5× 57 1.1× 147 3.3× 53 567
Masahiro Toyoura Japan 11 240 1.5× 48 0.5× 26 0.4× 11 0.2× 23 0.5× 70 385
Peter Kán Austria 13 176 1.1× 107 1.1× 13 0.2× 39 0.7× 27 0.6× 32 357
Chengcheng Tang United States 10 159 1.0× 44 0.4× 23 0.3× 35 0.6× 20 0.5× 31 535
L.V. Tsap United States 11 335 2.1× 78 0.8× 29 0.4× 8 0.1× 44 1.0× 27 512
Alan Brunton Canada 12 316 1.9× 31 0.3× 18 0.3× 22 0.4× 42 1.0× 27 475
Alexander Plopski Japan 12 351 2.2× 428 4.3× 98 1.5× 19 0.4× 49 1.1× 62 652
Céline Loscos France 13 564 3.5× 135 1.4× 89 1.3× 65 1.2× 43 1.0× 33 777
Yuki Uranishi Japan 10 218 1.3× 94 0.9× 26 0.4× 16 0.3× 74 1.7× 61 478

Countries citing papers authored by Soonchul Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soonchul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonchul Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Soonchul Kwon. A scholar is included among the top collaborators of Soonchul 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 Soonchul Kwon. Soonchul 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.
Kwon, Soonchul, Byung Jun Kim, Changsik John Pak, et al.. (2025). Diffusion-based skin disease data augmentation with fine-grained detail preservation and interpolation for data diversity. PLoS ONE. 20(10). e0331404–e0331404.
2.
Lee, Seung-Hyun, et al.. (2024). Method for Enhancing AI Accuracy in Pressure Injury Detection Using Real and Synthetic Datasets. Applied Sciences. 14(20). 9396–9396.
3.
Kwon, Soonchul, et al.. (2024). A Variational Autoencoder Cascade Generative Adversarial Network for Scalable 3D Object Generation and Reconstruction. Sensors. 24(3). 751–751. 4 indexed citations
4.
Pak, Changsik John, Yong‐Woo Kim, Sohee Kim, et al.. (2023). Hybrid Bionic Nerve Interface for Application in Bionic Limbs. Advanced Science. 10(35). e2303728–e2303728. 5 indexed citations
5.
Yea, Junwoo, Kyung‐In Jang, Hyo-Jin Kim, et al.. (2023). Imperceptive and reusable dermal surface EMG for lower extremity neuro-prosthetic control and clinical assessment. npj Flexible Electronics. 7(1). 12 indexed citations
6.
Yoo, Ji‐Sang, et al.. (2023). Personalized Text-to-Image Model Enhancement Strategies: SOD Preprocessing and CNN Local Feature Integration. Electronics. 12(22). 4707–4707. 1 indexed citations
7.
Kwon, Soonchul, et al.. (2023). Optimization of Deep Learning Parameters for Magneto-Impedance Sensor in Metal Detection and Classification. Sensors. 23(22). 9259–9259. 2 indexed citations
8.
Lee, Seung-Hyun, et al.. (2022). Prefetching Method for Low-Latency Web AR in the WMN Edge Server. Applied Sciences. 13(1). 133–133. 1 indexed citations
9.
Lee, Sangha, et al.. (2021). Efficient Single-Shot Multi-Object Tracking for Vehicles in Traffic Scenarios. Sensors. 21(19). 6358–6358. 9 indexed citations
10.
Lee, Dongwoo, et al.. (2021). Neural Network for Metal Detection Based on Magnetic Impedance Sensor. Sensors. 21(13). 4456–4456. 2 indexed citations
11.
Lee, Seung-Hyun, et al.. (2021). Performance Evaluation of Ground AR Anchor with WebXR Device API. Applied Sciences. 11(17). 7877–7877. 5 indexed citations
12.
Kwon, Soonchul, et al.. (2020). Evaluating Feature Extraction Methods with Synthetic Noise Patterns for Image-Based Modelling of Texture-Less Objects. Remote Sensing. 12(23). 3886–3886. 20 indexed citations
13.
Kwon, Soonchul, et al.. (2019). A Study on 3D File Format for Web-based Scientific Visualization. The International Journal of Advanced Culture Technology. 7(1). 243–247. 1 indexed citations
14.
Cho, Wooyeong, et al.. (2019). A Comparative Study on OCR using Super-Resolution for Small Fonts. International journal of advanced smart convergence. 8(3). 95–101. 3 indexed citations
15.
Lee, Seung-Hyun, et al.. (2019). Performance Comparison of 3D File Formats on a Mobile Web Browser. 11(2). 31–42. 1 indexed citations
16.
Lee, Seung-Hyun, et al.. (2019). A Study on the Performance Comparison of 3D File Formats on the Web. International journal of advanced smart convergence. 8(1). 65–74. 7 indexed citations
17.
Lee, Seung-Hyun, et al.. (2019). A Comparative Study on 3D Data Performance in Mobile Web Browsers in 4G and 5G Environments. 11(3). 8–19. 1 indexed citations
18.
Kwon, Soonchul, et al.. (2019). Non-glasses Stereoscopic 3D Floating Hologram System using Polarization Technique. International journal of advanced smart convergence. 8(1). 18–23. 3 indexed citations
19.
Lee, Seung-Hyun, et al.. (2017). A Study on Optimized Mapping Environment for Real-time Spatial Mapping of HoloLens. 9(3). 1–8. 4 indexed citations
20.
Lee, Jaeho, Soonchul Kwon, & Seung-Hyun Lee. (2017). Implementation of On-site Audio Center based on AoIP. International journal of advanced smart convergence. 6(2). 51–58.

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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