Ki‐Chul Kwon

1.6k total citations
104 papers, 1.1k citations indexed

About

Ki‐Chul Kwon is a scholar working on Media Technology, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ki‐Chul Kwon has authored 104 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Media Technology, 46 papers in Atomic and Molecular Physics, and Optics and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ki‐Chul Kwon's work include Advanced Optical Imaging Technologies (73 papers), Digital Holography and Microscopy (28 papers) and Virtual Reality Applications and Impacts (24 papers). Ki‐Chul Kwon is often cited by papers focused on Advanced Optical Imaging Technologies (73 papers), Digital Holography and Microscopy (28 papers) and Virtual Reality Applications and Impacts (24 papers). Ki‐Chul Kwon collaborates with scholars based in South Korea, Mongolia and United States. Ki‐Chul Kwon's co-authors include Nam Kim, Munkh‐Uchral Erdenebat, Young-Tae Lim, Jae‐Hyeung Park, Kwan‐Hee Yoo, Ji‐Seong Jeong, Yu Zhao, Mei-Lan Piao, Seokhee Jeon and Ashraf A. M. Khalaf and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Optics Letters.

In The Last Decade

Ki‐Chul Kwon

94 papers receiving 1.1k 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‐Chul Kwon South Korea 20 772 449 422 341 179 104 1.1k
Praneeth Chakravarthula United States 15 571 0.7× 385 0.9× 406 1.0× 219 0.6× 94 0.5× 39 913
Ryuji Hirayama Japan 16 540 0.7× 425 0.9× 288 0.7× 174 0.5× 330 1.8× 50 1.1k
Jung‐Young Son South Korea 18 1.1k 1.4× 554 1.2× 432 1.0× 398 1.2× 217 1.2× 173 1.4k
Joel Kollin United States 9 962 1.2× 544 1.2× 357 0.8× 416 1.2× 77 0.4× 20 1.1k
Andrew Maimone United States 16 992 1.3× 421 0.9× 714 1.7× 683 2.0× 98 0.5× 21 1.5k
Hoonjong Kang South Korea 16 1.1k 1.4× 852 1.9× 360 0.9× 316 0.9× 82 0.5× 56 1.2k
Sungyong Jung United States 20 1.0k 1.3× 824 1.8× 207 0.5× 527 1.5× 239 1.3× 108 1.6k
Mark Lucente United States 17 1.0k 1.3× 741 1.7× 354 0.8× 367 1.1× 43 0.2× 33 1.3k
Yan Xing China 15 461 0.6× 213 0.5× 186 0.4× 221 0.6× 92 0.5× 58 628
Hisayuki Sasaki Japan 13 615 0.8× 369 0.8× 191 0.5× 314 0.9× 40 0.2× 49 719

Countries citing papers authored by Ki‐Chul Kwon

Since Specialization
Citations

This map shows the geographic impact of Ki‐Chul 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‐Chul 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‐Chul Kwon more than expected).

Fields of papers citing papers by Ki‐Chul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Chul Kwon. A scholar is included among the top collaborators of Ki‐Chul 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‐Chul Kwon. Ki‐Chul 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.
Hossain, Ferdous, et al.. (2025). Advanced deep learning model for direct phase-only hologram generation using complex-valued neural networks. Neurocomputing. 631. 129672–129672. 4 indexed citations
2.
Hossain, Ferdous, et al.. (2025). U2-Net-Combined End-to-End Unsupervised Learning Method for Implementing Accurate Computer-Generated Phase-Only Hologram. IEEE Access. 13. 25650–25662. 1 indexed citations
3.
Erdenebat, Munkh‐Uchral, et al.. (2025). Real-time vision-extended holographic near-eye display system based on perceptual range-adaptive visualization architecture. Optics & Laser Technology. 193. 114145–114145.
4.
5.
Erdenebat, Munkh‐Uchral, et al.. (2024). Eyebox expansion of a lensless near-eye display using diverging spherical wave illumination and a multiplexed holographic optical element. Optics and Lasers in Engineering. 181. 108380–108380. 6 indexed citations
6.
7.
Hossain, Ferdous, et al.. (2024). Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction. International Journal of Biomedical Imaging. 2024. 1–12. 2 indexed citations
8.
Kwon, Ki‐Chul, et al.. (2024). DermSegNet: smart IoT model for multi-class dermatological lesion diagnosis using adaptive segmentation and improved EfficientNetB3. Applied Intelligence. 54(9-10). 6930–6945. 2 indexed citations
9.
Erdenebat, Munkh‐Uchral, et al.. (2024). Comprehensive optimization for full-color holographic stereogram printing system based on single-shot depth estimation and time-controlled exposure. Optics & Laser Technology. 181. 111966–111966. 3 indexed citations
10.
11.
Erdenebat, Munkh‐Uchral, et al.. (2024). Innovative 3D/2D Augmented Reality System Based on a Liquid-Crystalline Microlens Array and Full-Color Holographic Optical Element. IEEE Journal of Selected Topics in Quantum Electronics. 30(2: Integrated Optoelectronics). 1–8. 7 indexed citations
12.
13.
Erdenebat, Munkh‐Uchral, et al.. (2023). Image quality enhancement of 4D light field microscopy via reference impge propagation-based one-shot learning. Applied Intelligence. 53(20). 23834–23852. 3 indexed citations
14.
Kwon, Ki‐Chul, et al.. (2023). A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction. Diagnostics. 13(7). 1306–1306. 4 indexed citations
15.
Kwon, Ki‐Chul, et al.. (2022). De-Aliasing and Accelerated Sparse Magnetic Resonance Image Reconstruction Using Fully Dense CNN with Attention Gates. Bioengineering. 10(1). 22–22. 7 indexed citations
16.
Kwon, Ki‐Chul, et al.. (2021). Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy. Sensors. 21(6). 2164–2164. 9 indexed citations
17.
Kwon, Ki‐Chul, et al.. (2021). Implementation of a Character Recognition System Based on Finger-Joint Tracking Using a Depth Camera. IEEE Transactions on Human-Machine Systems. 51(3). 229–241. 20 indexed citations
18.
Kwon, Ki‐Chul, Munkh‐Uchral Erdenebat, Young-Tae Lim, et al.. (2020). Advanced Three-Dimensional Visualization System for an Integral Imaging Microscope Using a Fully Convolutional Depth Estimation Network. IEEE photonics journal. 12(4). 1–14. 9 indexed citations
19.
Kwon, Ki‐Chul, et al.. (2020). Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor. Sensors. 20(2). 376–376. 56 indexed citations
20.
Lim, Young-Tae, Jae‐Hyeung Park, Ki‐Chul Kwon, & Nam Kim. (2009). Three-dimensional Display of Microscopic Specimen using Integral Imaging Microscope and Display. The Journal of Korean Institute of Communications and Information Sciences. 34(11). 1311–1319.

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