Kyong Hwan Jin

4.2k total citations · 1 hit paper
46 papers, 2.6k citations indexed

About

Kyong Hwan Jin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kyong Hwan Jin has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kyong Hwan Jin's work include Image and Signal Denoising Methods (14 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Image Processing Techniques (7 papers). Kyong Hwan Jin is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Image Processing Techniques (7 papers). Kyong Hwan Jin collaborates with scholars based in South Korea, United States and Switzerland. Kyong Hwan Jin's co-authors include Michaël Unser, Michael T. McCann, Jong Chul Ye, Jaewon Lee, YongKeun Park, Seungwoo Shin, KyeoReh Lee, Joowon Lim, Hongyoon Choi and Dongwook Lee and has published in prestigious journals such as Nature Communications, ACS Nano and Bioinformatics.

In The Last Decade

Kyong Hwan Jin

39 papers receiving 2.5k 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.

Deep Convolutional Neural Network for Inverse Problems in Imaging

2017 1.6k citations Kyong Hwan Jin, Michael T. McCann et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyong Hwan Jin South Korea	14	1.0k	997	747	365	362	46	2.6k
Ulugbek S. Kamilov United States	24	488 0.5×	793 0.8×	744 1.0×	710 1.9×	460 1.3×	104	2.2k
Michael T. McCann United States	14	923 0.9×	789 0.8×	571 0.8×	247 0.7×	126 0.3×	41	2.1k
Curtis R. Vogel United States	20	453 0.5×	693 0.7×	701 0.9×	577 1.6×	479 1.3×	38	2.8k
K. Sauer United States	24	2.7k 2.7×	2.1k 2.1×	850 1.1×	372 1.0×	213 0.6×	87	4.0k
Thierry Blu Hong Kong	25	478 0.5×	717 0.7×	1.8k 2.3×	1.5k 4.2×	354 1.0×	133	4.0k
Qiegen Liu China	28	1.2k 1.2×	665 0.7×	953 1.3×	467 1.3×	216 0.6×	171	2.3k
Kristian Bredies Austria	29	1.4k 1.4×	565 0.6×	1.4k 1.8×	1.3k 3.6×	217 0.6×	80	3.5k
Henry Argüello Colombia	25	298 0.3×	1.4k 1.4×	965 1.3×	1.3k 3.6×	268 0.7×	295	3.0k
Alfred K. Louis Germany	28	860 0.9×	790 0.8×	477 0.6×	430 1.2×	134 0.4×	99	2.7k
Yifei Lou United States	25	520 0.5×	587 0.6×	994 1.3×	1.0k 2.7×	56 0.2×	80	2.2k

Countries citing papers authored by Kyong Hwan Jin

Since Specialization

Citations

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

Fields of papers citing papers by Kyong Hwan Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyong Hwan Jin. 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 Kyong Hwan Jin. The network helps show where Kyong Hwan Jin may publish in the future.

Co-authorship network of co-authors of Kyong Hwan Jin

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

All Works

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20 of 20 papers shown

Zhou, Jie, Xin Sun, Jun Xu, et al.. (2025). Versatile Tunable Terahertz Absorption Device Based on Bulk Dirac Semimetals and Graphene. Molecules. 30(5). 999–999. 2 indexed citations

Guo, Yulong, T. Hu, Kyong Hwan Jin, et al.. (2025). Anti‐jamming thermoacoustic imaging based on fiber Bragg grating ultrasonic detection and photoelectric conversion triggering. Medical Physics. 52(7). e17944–e17944.

Kim, Soopil, Hee Jung Park, Philip Chikontwe, et al.. (2025). Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Transactions on Medical Imaging. 44(5). 2079–2092.

Kim, Hyeonjin, et al.. (2025). BF-STVSR: B-Splines and Fourier—Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution. 28009–28018.

Zhou, Ji, Kyong Hwan Jin, Yi He, et al.. (2025). Double layered perovskite solar cells based on concave solar light capture structure. Applied Materials Today. 45. 102861–102861.

Zhou, Jie, et al.. (2024). Tunable multiple narrowband polarization stable metamaterial terahertz absorbers based on dirac semi metal and phase change material VO2. Alexandria Engineering Journal. 116. 104–111. 9 indexed citations

Kim, Min‐Soo, Giseop Kim, Kyong Hwan Jin, & Sun‐Wook Choi. (2024). BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird’s Eye View Map Construction. 11125–11132. 4 indexed citations

Kim, Soopil, Hee Jung Park, Kyong Hwan Jin, et al.. (2024). Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Analysis. 95. 103156–103156. 15 indexed citations

Kim, Soopil, et al.. (2023). FedNN: Federated learning on concept drift data using weight and adaptive group normalizations. Pattern Recognition. 149. 110230–110230. 15 indexed citations

10.

Chikontwe, Philip, Soopil Kim, Kyong Hwan Jin, et al.. (2023). One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. Lecture notes in computer science. 14221. 521–531. 5 indexed citations

11.

Kim, Minsoo, InSuk Joung, Sung Jong Lee, et al.. (2023). DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. Bioinformatics. 39(12). 10 indexed citations

12.

Lee, Jaewon, et al.. (2023). B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution. 10062–10071. 5 indexed citations

13.

Jin, Kyong Hwan, Kwang Moo Yi, Yoshiki Kohmura, et al.. (2023). Deep 3D reconstruction of synchrotron X-ray computed tomography for intact lungs. Scientific Reports. 13(1). 1738–1738. 12 indexed citations

14.

Lee, Jaewon & Kyong Hwan Jin. (2022). Local Texture Estimator for Implicit Representation Function. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1919–1928. 117 indexed citations

15.

Min, Junhong, Kyong Hwan Jin, Michaël Unser, & Jong Chul Ye. (2018). Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. IEEE Transactions on Image Processing. 27(10). 4771–4786. 4 indexed citations

16.

Jin, Kyong Hwan, et al.. (2017). Deep Convolutional Neural Network for Inverse Problems in Imaging. IEEE Transactions on Image Processing. 26(9). 4509–4522. 1561 indexed citations breakdown →

17.

Jin, Kyong Hwan, et al.. (2017). True Temporal Resolution TWIST Imaging using Annihilating Filter-based Low-rank wrap around Hankel Matrix. 1 indexed citations

18.

Choi, Hongyoon & Kyong Hwan Jin. (2016). Fast and robust segmentation of the striatum using deep convolutional neural networks. Journal of Neuroscience Methods. 274. 146–153. 51 indexed citations

19.

Lim, Joowon, KyeoReh Lee, Kyong Hwan Jin, et al.. (2015). Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography. Optics Express. 23(13). 16933–16933. 192 indexed citations

20.

Yi, Minwoo, Hyosub Kim, Kyong Hwan Jin, Jong Chul Ye, & Jaewook Ahn. (2012). Terahertz substance imaging by waveform shaping. Optics Express. 20(18). 20783–20783. 3 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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