Hyungjin Chung

1.4k total citations · 1 hit paper
19 papers, 598 citations indexed

About

Hyungjin Chung is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Structural Biology. According to data from OpenAlex, Hyungjin Chung has authored 19 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Structural Biology. Recurrent topics in Hyungjin Chung's work include Medical Imaging Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Image and Signal Denoising Methods (3 papers). Hyungjin Chung is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Image and Signal Denoising Methods (3 papers). Hyungjin Chung collaborates with scholars based in South Korea, United States and Germany. Hyungjin Chung's co-authors include Jong Chul Ye, Eun Sun Lee, Marc Klasky, Michael T. McCann, Dohoon Ryu, Burhaneddin Yaman, Mehmet Akçakaya, Leonard Sunwoo, Sehui Kim and Eunju Cha and has published in prestigious journals such as ACS Nano, IEEE Transactions on Medical Imaging and IEEE Signal Processing Magazine.

In The Last Decade

Hyungjin Chung

17 papers receiving 586 citations

Hit Papers

Score-based diffusion models for accelerated MRI 2022 2026 2023 2024 2022 50 100 150 200
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.

  1. Score-based diffusion models for accelerated MRI
    2022 219 citations Hyungjin Chung, Jong Chul Ye Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyungjin Chung South Korea 10 327 198 126 75 52 19 598
Jacob Hinkle United States 15 163 0.5× 101 0.5× 94 0.7× 115 1.5× 42 0.8× 47 578
Jiaming Liu United States 14 318 1.0× 192 1.0× 316 2.5× 37 0.5× 116 2.2× 48 716
Martin Höller Austria 14 231 0.7× 240 1.2× 102 0.8× 20 0.3× 189 3.6× 41 613
Burhaneddin Yaman United States 13 432 1.3× 106 0.5× 114 0.9× 43 0.6× 78 1.5× 31 603
Matthias J. Ehrhardt United Kingdom 14 429 1.3× 132 0.7× 173 1.4× 56 0.7× 184 3.5× 46 719
Fangde Liu United Kingdom 5 489 1.5× 213 1.1× 242 1.9× 72 1.0× 179 3.4× 11 807
Shun Zhu China 4 449 1.4× 101 0.5× 156 1.2× 22 0.3× 116 2.2× 16 586
I.G. Kazantsev Russia 10 164 0.5× 47 0.2× 72 0.6× 16 0.2× 60 1.2× 34 356
Neale A. W. Dutton United Kingdom 22 142 0.4× 50 0.3× 220 1.7× 23 0.3× 16 0.3× 49 1.2k

Countries citing papers authored by Hyungjin Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hyungjin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungjin Chung

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

All Works

19 of 19 papers shown
1.
Chung, Hyungjin, Tae Hoon Roh, Simon Arridge, et al.. (2025). Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. IEEE Transactions on Medical Imaging. 44(5). 2093–2104.
2.
Kim, Sehui, et al.. (2024). Fundus Image Enhancement Through Direct Diffusion Bridges. IEEE Journal of Biomedical and Health Informatics. 28(12). 7275–7286. 3 indexed citations
3.
Chung, Hyungjin, et al.. (2023). Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. 6059–6069. 33 indexed citations
4.
Chung, Hyungjin, Dohoon Ryu, Michael T. McCann, Marc Klasky, & Jong Chul Ye. (2023). Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. 22542–22551. 53 indexed citations
5.
McCann, Michael T., Hyungjin Chung, Jong Chul Ye, & Marc Klasky. (2023). Score-Based Diffusion Models for Bayesian Image Reconstruction. 111–115. 1 indexed citations
6.
Lee, Suhyeon, et al.. (2023). Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. 10676–10686. 22 indexed citations
7.
Cha, Eunju, Hyungjin Chung, Jaeduck Jang, et al.. (2022). Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning. ACS Nano. 16(7). 10314–10326. 9 indexed citations
8.
Chung, Hyungjin, et al.. (2022). Improving Diffusion Models for Inverse Problems Using Manifold Constraints. 25683–25696.
9.
Akçakaya, Mehmet, Burhaneddin Yaman, Hyungjin Chung, & Jong Chul Ye. (2022). Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Processing Magazine. 39(2). 28–44. 44 indexed citations
10.
Chung, Hyungjin & Jong Chul Ye. (2022). Score-based diffusion models for accelerated MRI. Medical Image Analysis. 80. 102479–102479. 219 indexed citations breakdown →
11.
Chung, Hyungjin, Eun Sun Lee, & Jong Chul Ye. (2022). MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Transactions on Medical Imaging. 42(4). 922–934. 71 indexed citations
12.
Han, Yoseob, Jaeduck Jang, Eunju Cha, et al.. (2021). Deep learning STEM-EDX tomography of nanocrystals. Nature Machine Intelligence. 3(3). 267–274. 39 indexed citations
13.
Chung, Hyungjin & Jong Chul Ye. (2021). Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nature Machine Intelligence. 3(10). 861–863. 9 indexed citations
14.
Chung, Hyungjin, et al.. (2021). Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography.. 1 indexed citations
15.
Chung, Hyungjin, et al.. (2021). Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. IEEE Transactions on Computational Imaging. 7. 747–758. 21 indexed citations
16.
Cha, Eunju, Hyungjin Chung, Eung Yeop Kim, & Jong Chul Ye. (2020). Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Transactions on Medical Imaging. 40(1). 166–179. 10 indexed citations
17.
Chung, Hyungjin, et al.. (2020). Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. abs 1811 8839. 917–920. 8 indexed citations
18.
Chung, Hyungjin, et al.. (2020). Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. IEEE Transactions on Computational Imaging. 6. 1285–1296. 50 indexed citations
19.
Chung, Hyungjin, et al.. (1991). A training algorithm for discrete multilayer perceptrons. 1493–1496 vol.3. 5 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