Yohan Jun

1.4k total citations · 1 hit paper
21 papers, 582 citations indexed

About

Yohan Jun is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Health Informatics. According to data from OpenAlex, Yohan Jun has authored 21 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Health Informatics. Recurrent topics in Yohan Jun's work include Advanced MRI Techniques and Applications (13 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Yohan Jun is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Yohan Jun collaborates with scholars based in South Korea, United States and Germany. Yohan Jun's co-authors include Dosik Hwang, Taejoon Eo, Taeseong Kim, Ho‐Joon Lee, Jinseong Jang, Hyungseob Shin, Sung Soo Ahn, Yae Won Park, Seung‐Koo Lee and Kyunghwa Han and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Yohan Jun

18 papers receiving 575 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.

KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images

2018 304 citations Taejoon Eo, Yohan Jun et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yohan Jun South Korea	10	459	144	83	81	59	21	582
Taejoon Eo South Korea	10	428 0.9×	135 0.9×	82 1.0×	90 1.1×	56 0.9×	18	564
Taohui Xiao China	7	321 0.7×	94 0.7×	57 0.7×	76 0.9×	35 0.6×	15	383
Jinseong Jang South Korea	8	346 0.8×	115 0.8×	58 0.7×	117 1.4×	45 0.8×	17	495
Itthi Chatnuntawech Thailand	13	406 0.9×	140 1.0×	34 0.4×	36 0.4×	68 1.2×	33	685
Manav Bhushan United Kingdom	3	294 0.6×	135 0.9×	30 0.4×	415 5.1×	20 0.3×	4	622
Christopher M. Sandino United States	10	302 0.7×	76 0.5×	22 0.3×	36 0.4×	38 0.6×	23	392
Alexandre Bousse United Kingdom	14	578 1.3×	195 1.4×	21 0.3×	72 0.9×	32 0.5×	67	675
Pengwei Wu United States	13	261 0.6×	316 2.2×	22 0.3×	88 1.1×	13 0.2×	49	465
Seung Kwan Kang South Korea	13	520 1.1×	224 1.6×	11 0.1×	139 1.7×	22 0.4×	27	664
Ganesh Adluru United States	19	1.1k 2.4×	167 1.2×	147 1.8×	53 0.7×	213 3.6×	53	1.2k

Countries citing papers authored by Yohan Jun

Since Specialization

Citations

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

Fields of papers citing papers by Yohan Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohan Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Yohan Jun. A scholar is included among the top collaborators of Yohan Jun 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 Yohan Jun. Yohan Jun 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

Çukur, Tolga, et al.. (2025). A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications. IEEE Transactions on Biomedical Engineering. PP. 1–20.

Jun, Yohan, Jongho Lee, Huafeng Liu, et al.. (2025). MIMOSA : Multi‐Parametric Imaging Using Multiple‐Echoes With Optimized Simultaneous Acquisition for Highly‐Efficient Quantitative MRI. Magnetic Resonance in Medicine. 95(3). 1528–1544.

Fujita, Shohei, Yohan Jun, Tom Hilbert, et al.. (2025). Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 Correction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Fujita, Shohei, Borjan Gagoski, Jon‐Fredrik Nielsen, et al.. (2025). Vendor‐agnostic 3D multiparametric relaxometry improves cross‐platform reproducibility. Magnetic Resonance in Medicine. 94(3). 937–948. 1 indexed citations

Fujita, Shohei, et al.. (2024). Motion resolved rapid 3D multiparametric brain mapping with self-navigation. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Choi, Yangsean, et al.. (2024). Beyond the Conventional Structural MRI. Investigative Radiology. 60(1). 27–42. 5 indexed citations

Jun, Yohan, Jaejin Cho, Shohei Fujita, et al.. (2024). Zero‐DeepSub: Zero‐shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D‐QALAS. Magnetic Resonance in Medicine. 91(6). 2459–2482. 8 indexed citations

Jun, Yohan, Yae Won Park, Hyungseob Shin, et al.. (2023). Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning. European Radiology. 33(9). 6124–6133. 8 indexed citations

Shin, Hyungseob, Ji Eun Park, Yohan Jun, et al.. (2023). Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI. European Radiology. 33(8). 5859–5870. 10 indexed citations

10.

Shin, Hyungseob, et al.. (2023). SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. 7412–7421. 22 indexed citations

11.

Jun, Yohan, Jaejin Cho, Xiaoqing Wang, et al.. (2023). SSL‐QALAS: Self‐Supervised Learning for rapid multiparameter estimation in quantitative MRI using 3D‐QALAS. Magnetic Resonance in Medicine. 90(5). 2019–2032. 7 indexed citations

12.

Jun, Yohan, Hyungseob Shin, Taejoon Eo, & Dosik Hwang. (2021). Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. 5266–5275. 42 indexed citations

13.

Jun, Yohan, Hyungseob Shin, Taejoon Eo, Taeseong Kim, & Dosik Hwang. (2021). Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. Medical Image Analysis. 70. 102017–102017. 28 indexed citations

14.

Park, Yae Won, Yohan Jun, Kyunghwa Han, et al.. (2021). Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging. European Radiology. 31(9). 6686–6695. 34 indexed citations

15.

Shin, Hyungseob, et al.. (2020). The Latest Trends in Attention Mechanisms and Their Application in Medical Imaging. SHILAP Revista de lepidopterología. 81(6). 1305–1305. 4 indexed citations

16.

Eo, Taejoon, et al.. (2020). Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. Medical Image Analysis. 63. 101689–101689. 30 indexed citations

17.

Kim, Taehoon, Gwangmook Kim, Taeseong Kim, et al.. (2019). Megahertz-wave-transmitting conducting polymer electrode for device-to-device integration. Nature Communications. 10(1). 653–653. 24 indexed citations

18.

Jun, Yohan, Taejoon Eo, Hyungseob Shin, et al.. (2019). Parallel imaging in time‐of‐flight magnetic resonance angiography using deep multistream convolutional neural networks. Magnetic Resonance in Medicine. 81(6). 3840–3853. 19 indexed citations

19.

Jun, Yohan, Taejoon Eo, Tae‐Seong Kim, et al.. (2018). Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors. Scientific Reports. 8(1). 9450–9450. 34 indexed citations

20.

Eo, Taejoon, Taeseong Kim, Yohan Jun, et al.. (2016). High‐SNR multiple T₂(*)‐contrast magnetic resonance imaging using a robust denoising method based on tissue characteristics. Journal of Magnetic Resonance Imaging. 45(6). 1835–1845. 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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