Ki‐Ryong Kwon

2.1k total citations
170 papers, 1.4k citations indexed

About

Ki‐Ryong Kwon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ki‐Ryong Kwon has authored 170 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 22 papers in Signal Processing. Recurrent topics in Ki‐Ryong Kwon's work include Advanced Steganography and Watermarking Techniques (60 papers), Chaos-based Image/Signal Encryption (26 papers) and Computer Graphics and Visualization Techniques (18 papers). Ki‐Ryong Kwon is often cited by papers focused on Advanced Steganography and Watermarking Techniques (60 papers), Chaos-based Image/Signal Encryption (26 papers) and Computer Graphics and Visualization Techniques (18 papers). Ki‐Ryong Kwon collaborates with scholars based in South Korea, United States and Vietnam. Ki‐Ryong Kwon's co-authors include Suk‐Hwan Lee, Kwang-Seok Moon, Eung-Joo Lee, Oh‐Heum Kwon, Kyung-Won Kang, Jong‐Keuk Lee, Thanh Tran, Heejung Kim, Sanghun Lim and Jin‐Hyeok Park and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Ki‐Ryong Kwon

146 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ki‐Ryong Kwon South Korea 18 870 365 140 123 93 170 1.4k
Suk‐Hwan Lee South Korea 18 871 1.0× 385 1.1× 139 1.0× 123 1.0× 92 1.0× 188 1.4k
Wee Kheng Leow Singapore 20 732 0.8× 464 1.3× 114 0.8× 57 0.5× 65 0.7× 80 1.4k
Xuequan Lu Australia 23 924 1.1× 540 1.5× 104 0.7× 235 1.9× 82 0.9× 125 1.7k
Henghui Ding Singapore 29 1.8k 2.0× 922 2.5× 127 0.9× 79 0.6× 26 0.3× 78 2.3k
Yuji Iwahori Japan 15 574 0.7× 178 0.5× 112 0.8× 134 1.1× 35 0.4× 167 973
Changqing Zou China 20 959 1.1× 497 1.4× 46 0.3× 198 1.6× 49 0.5× 63 1.5k
Víctor Sánchez United Kingdom 22 1.2k 1.4× 531 1.5× 134 1.0× 23 0.2× 61 0.7× 128 1.8k
Ezzeddine Zagrouba Tunisia 17 989 1.1× 487 1.3× 190 1.4× 17 0.1× 33 0.4× 132 1.5k
Yongmin Kim United States 17 892 1.0× 142 0.4× 330 2.4× 27 0.2× 58 0.6× 142 1.5k
Ronghang Hu United States 13 1.5k 1.7× 1.1k 3.1× 105 0.8× 39 0.3× 34 0.4× 17 2.2k

Countries citing papers authored by Ki‐Ryong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Ryong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ki‐Ryong Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Ryong Kwon. A scholar is included among the top collaborators of Ki‐Ryong 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 Ki‐Ryong Kwon. Ki‐Ryong 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.
Lee, Suk‐Hwan, et al.. (2025). MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer. IEEE Open Journal of the Computer Society. 6. 789–800.
2.
Lee, Suk‐Hwan, et al.. (2025). DiffCoR: Exposing AI-Generated Image by Using Stable Diffusion Model Based on Consistent Representation Learning. IEEE Open Journal of the Computer Society. 6. 1353–1365.
3.
Kwon, Ki‐Ryong, et al.. (2024). Improved YOLOv5 Based Deep Learning System for Jellyfish Detection. IEEE Access. 12. 87838–87849. 7 indexed citations
4.
Kwon, Ki‐Ryong, et al.. (2024). Image-Based Outlet Fire Causing Classification Using CNN-Based Deep Learning Models. IEEE Access. 12. 135104–135116. 1 indexed citations
5.
Lee, Suk‐Hwan, et al.. (2023). Deep Reinforcement Learning Tf-Agent-Based Object Tracking With Virtual Autonomous Drone in a Game Engine. IEEE Access. 11. 124129–124138. 4 indexed citations
6.
Lee, Suk‐Hwan, et al.. (2023). Local Graph Point Attention Network in Point Cloud Segmentation. IEEE Access. 11. 33296–33312. 2 indexed citations
7.
Lee, Suk‐Hwan, et al.. (2022). Generalization of Forgery Detection With Meta Deepfake Detection Model. IEEE Access. 11. 535–546. 13 indexed citations
8.
Lee, Suk‐Hwan, et al.. (2021). Breast Tumor Cell Nuclei Segmentation in Histopathology Images using EfficientUnet++ and Multi-organ Transfer Learning. Journal of Korea Multimedia Society. 24(8). 1000–1011. 8 indexed citations
9.
Kang, Kyung-Won, et al.. (2020). Animal Face Classification using Dual Deep Convolutional Neural Network. Journal of Korea Multimedia Society. 23(4). 525–538. 2 indexed citations
10.
Kwon, Oh‐Heum, et al.. (2019). A New CSR-DCF Tracking Algorithm based on Faster RCNN Detection Model and CSRT Tracker for Drone Data. Journal of Korea Multimedia Society. 22(12). 1415–1429. 3 indexed citations
11.
Kwon, Ki‐Ryong, et al.. (2017). Automatic Fault Diagnosis of Drills Using Artificial Neural Networks. 992–995. 9 indexed citations
12.
Liu, Yang, et al.. (2016). Skin Pigment Recognition using Projective Hemoglobin- Melanin Coordinate Measurements. Journal of Electrical Engineering and Technology. 11(6). 1825–1838. 1 indexed citations
13.
Lee, Suk‐Hwan, et al.. (2014). A Direction-Adaptive Watermarking Technique Based on 2DCT in the Buyer-Seller Watermarking Protocol. Journal of Korea Multimedia Society. 17(7). 778–786.
14.
Lee, Suk‐Hwan, et al.. (2011). Contents Based Partial Encryption of GIS Vector Map. Journal of the Institute of Electronics Engineers of Korea. 48(5). 88–98. 3 indexed citations
15.
Lee, Suk‐Hwan & Ki‐Ryong Kwon. (2010). Robust 3D Hashing Algorithm Using Key-dependent Block Surface Coefficient. Journal of the Institute of Electronics Engineers of Korea. 47(1). 1–14. 2 indexed citations
16.
Lee, Suk‐Hwan, et al.. (2010). Effective Vector Map Image Compression Technique for Secure Encryption and Transmission. 299–303. 1 indexed citations
17.
Jeon, Heeyoung, et al.. (2009). Mobile Receiver Model for T-DMB Location Automatic Emergency Alert Service. The Journal of Korean Institute of Communications and Information Sciences. 34. 796–806.
18.
Lee, Suk‐Hwan, et al.. (2008). Robust Blind- Video Watermarking against MPEG-4 Scalable Video Coding and Multimedia Transcoding. Journal of Korea Multimedia Society. 11(10). 1347–1358.
19.
Li, Wei, et al.. (2007). Automatic Camera Pose Determination from a Single Face Image. Journal of Korea Multimedia Society. 10(12). 1566–1576. 1 indexed citations
20.
Moon, Kwang-Seok, et al.. (2003). Digital Watermarking Technology in Architectural Design Drawing. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 433–436. 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