Jongduk Baek

1.2k total citations
107 papers, 859 citations indexed

About

Jongduk Baek is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jongduk Baek has authored 107 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Radiology, Nuclear Medicine and Imaging, 75 papers in Biomedical Engineering and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jongduk Baek's work include Medical Imaging Techniques and Applications (92 papers), Advanced X-ray and CT Imaging (73 papers) and Radiation Dose and Imaging (58 papers). Jongduk Baek is often cited by papers focused on Medical Imaging Techniques and Applications (92 papers), Advanced X-ray and CT Imaging (73 papers) and Radiation Dose and Imaging (58 papers). Jongduk Baek collaborates with scholars based in South Korea, United States and Germany. Jongduk Baek's co-authors include Norbert J. Pelc, Hyunjung Shim, Angel R. Pineda, Jeongyun Kim, Seung-Hoon Lee, Chulhong Kim, Dosik Hwang, Subok Park, Bruno De Man and Chulhee Han and has published in prestigious journals such as PLoS ONE, Optics Express and IEEE Access.

In The Last Decade

Jongduk Baek

97 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongduk Baek South Korea 16 698 609 188 122 78 107 859
Wenxiang Cong United States 17 761 1.1× 654 1.1× 46 0.2× 169 1.4× 68 0.9× 53 965
Xue Dong United States 15 937 1.3× 566 0.9× 163 0.9× 215 1.8× 142 1.8× 44 1.1k
Zhaoying Bian China 19 1.3k 1.8× 1.0k 1.7× 76 0.4× 265 2.2× 43 0.6× 105 1.5k
Richard Aufrichtig United States 12 439 0.6× 340 0.6× 362 1.9× 92 0.8× 27 0.3× 19 646
Kyungsang Kim United States 17 1.1k 1.6× 632 1.0× 78 0.4× 215 1.8× 48 0.6× 55 1.3k
Yinsheng Li United States 14 480 0.7× 411 0.7× 38 0.2× 117 1.0× 33 0.4× 68 663
Jang‐Hwan Choi South Korea 12 390 0.6× 370 0.6× 70 0.4× 90 0.7× 38 0.5× 65 533
Amirhossein Sanaat Switzerland 17 786 1.1× 356 0.6× 91 0.5× 84 0.7× 96 1.2× 57 928
Marcel Beister Germany 6 740 1.1× 661 1.1× 125 0.7× 68 0.6× 11 0.1× 17 845
M. Graß Germany 19 978 1.4× 707 1.2× 98 0.5× 170 1.4× 18 0.2× 51 1.2k

Countries citing papers authored by Jongduk Baek

Since Specialization
Citations

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

Fields of papers citing papers by Jongduk Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongduk Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Jongduk Baek. A scholar is included among the top collaborators of Jongduk Baek 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 Jongduk Baek. Jongduk Baek 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.
Kim, Seong-Jun, et al.. (2025). Dose-aware denoising diffusion model for low-dose CT. Physics in Medicine and Biology. 70(14). 145019–145019.
2.
Baek, Jongduk, et al.. (2025). Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols. Sensors. 25(9). 2906–2906. 1 indexed citations
3.
Baek, Jongduk, et al.. (2024). A method to generate patient CT noise for deep learning network training. 1 indexed citations
4.
5.
Baek, Jongduk, et al.. (2023). Convolutional neural network‐based model observer for signal known statistically task in breast tomosynthesis images. Medical Physics. 50(10). 6390–6408. 3 indexed citations
6.
Baek, Jongduk, et al.. (2023). Strategy to implement a convolutional neural network based ideal model observer via transfer learning for multi-slice simulated breast CT images. Physics in Medicine and Biology. 68(11). 115020–115020. 1 indexed citations
7.
Kim, Y., et al.. (2023). Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique. IEEE Access. 11. 49261–49272. 3 indexed citations
8.
Baek, Jongduk, et al.. (2023). Chest tomosynthesis deblurring using CNN with deconvolution layer for vertebrae segmentation. Medical Physics. 50(12). 7714–7730. 2 indexed citations
9.
Beck, Kyongmin Sarah, et al.. (2022). No-reference perceptual CT image quality assessment based on a self-supervised learning framework. Machine Learning Science and Technology. 3(4). 45033–45033. 16 indexed citations
10.
Shim, Hyunjung, et al.. (2022). Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. IEEE Access. 10. 62412–62422. 8 indexed citations
11.
Shim, Hyunjung, et al.. (2022). Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images. PLoS ONE. 17(1). e0262736–e0262736. 2 indexed citations
12.
13.
Shim, Hyunjung, et al.. (2022). A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation. Medical Physics. 49(12). 7497–7515. 11 indexed citations
14.
15.
Baek, Jongduk, et al.. (2021). Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT. Machine Vision and Applications. 32(6). 3 indexed citations
16.
Shim, Hyunjung, et al.. (2021). Weakly-supervised progressive denoising with unpaired CT images. Medical Image Analysis. 71. 102065–102065. 19 indexed citations
17.
Baek, Jongduk, et al.. (2020). A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks. Physics in Medicine and Biology. 65(22). 225025–225025. 13 indexed citations
18.
19.
20.
Baek, Jongduk & Norbert J. Pelc. (2011). Local and global 3D noise power spectrum in cone‐beam CT system with FDK reconstruction. Medical Physics. 38(4). 2122–2131. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wenxiang Cong Breakdown of academic impact, for papers by Xue Dong Breakdown of academic impact, for papers by Zhaoying Bian Breakdown of academic impact, for papers by Richard Aufrichtig Breakdown of academic impact, for papers by Kyungsang Kim Breakdown of academic impact, for papers by Yinsheng Li Breakdown of academic impact, for papers by Jang‐Hwan Choi Breakdown of academic impact, for papers by Amirhossein Sanaat Breakdown of academic impact, for papers by Marcel Beister Breakdown of academic impact, for papers by M. Graß
Rankless by CCL
2026