Jaehee Chun

698 total citations
28 papers, 438 citations indexed

About

Jaehee Chun is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jaehee Chun has authored 28 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Radiation and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jaehee Chun's work include Advanced Radiotherapy Techniques (15 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Jaehee Chun is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Medical Imaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Jaehee Chun collaborates with scholars based in South Korea and United States. Jaehee Chun's co-authors include Jin Sung Kim, Jee Suk Chang, Seung Yeun Chung, Nalee Kim, Yong Bae Kim, Justin C. Park, Sasa Mutic, Ki Chang Keum, Taeho Kim and Hao Zhang and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jaehee Chun

26 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaehee Chun South Korea	12	323	230	100	88	86	28	438
Steven Michiels Belgium	8	242 0.7×	188 0.8×	91 0.9×	154 1.8×	87 1.0×	16	443
Carter Kolbeck Canada	7	208 0.6×	182 0.8×	80 0.8×	93 1.1×	64 0.7×	15	351
Brent van der Heyden Netherlands	12	407 1.3×	306 1.3×	211 2.1×	219 2.5×	60 0.7×	33	591
Siri Willems Belgium	11	342 1.1×	185 0.8×	107 1.1×	97 1.1×	158 1.8×	14	616
Yunfeng Cui United States	13	314 1.0×	227 1.0×	102 1.0×	130 1.5×	41 0.5×	47	487
Jianrong Dai China	11	483 1.5×	443 1.9×	171 1.7×	241 2.7×	53 0.6×	44	616
Akihiro Takemura Japan	9	168 0.5×	146 0.6×	53 0.5×	151 1.7×	44 0.5×	47	395
Matteo Pepa Italy	9	155 0.5×	73 0.3×	75 0.8×	109 1.2×	43 0.5×	33	332
Yang Sheng United States	15	333 1.0×	394 1.7×	96 1.0×	195 2.2×	69 0.8×	55	510
Kanabu Nawa Japan	9	385 1.2×	232 1.0×	137 1.4×	170 1.9×	58 0.7×	23	495

Countries citing papers authored by Jaehee Chun

Since Specialization

Citations

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

Fields of papers citing papers by Jaehee Chun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehee Chun

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

Lee, C., Jiwon Sung, Jun Won Kim, et al.. (2025). Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN. Frontiers in Oncology. 14. 1478148–1478148. 2 indexed citations

Chun, Jaehee, Shanti Marasini, Austen Curcuru, et al.. (2024). Inter-scanner super-resolution of 3D cine MRI using a transfer-learning network for MRgRT. Physics in Medicine and Biology. 69(11). 115038–115038.

Chun, Jaehee, et al.. (2024). Personalized Deep Learning Model for Clinical Target Volume on Daily Cone Beam Computed Tomography in Breast Cancer Patients. Advances in Radiation Oncology. 9(10). 101580–101580. 1 indexed citations

Lee, Juyoung, Jaehee Chun, Hojin Kim, Jin Sung Kim, & Sung Yong Park. (2023). Development and evaluation of an integrated model based on a deep segmentation network and demography-added radiomics algorithm for segmentation and diagnosis of early lung adenocarcinoma. Computerized Medical Imaging and Graphics. 109. 102299–102299. 4 indexed citations

Kim, Tae Hyung, Jaehee Chun, Hojin Kim, et al.. (2022). Deep-Learning-Based Automatic Detection and Segmentation of Brain Metastases with Small Volume for Stereotactic Ablative Radiotherapy. Cancers. 14(10). 2555–2555. 15 indexed citations

Chun, Jaehee. (2022). Intentional deep overfit learning (IDOL): A novel deep learning strategy for adaptive radiation therapy. arXiv (Cornell University). 26 indexed citations

Shao, Hua‐Chieh, Jing Wang, Ti Bai, et al.. (2022). Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling. Physics in Medicine and Biology. 67(11). 115009–115009. 27 indexed citations

Chun, Jaehee, Jee Suk Chang, Chae‐Seon Hong, et al.. (2022). Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study. Radiation Oncology. 17(1). 83–83. 13 indexed citations

Liang, Xiao, Jaehee Chun, Howard E. Morgan, et al.. (2022). Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy. Medical Physics. 50(4). 1947–1961. 7 indexed citations

10.

Kim, Hyun Ju, Jaehee Chun, Tae Hyung Kim, et al.. (2021). Patterns of Locoregional Recurrence after Radical Cystectomy for Stage T3-4 Bladder Cancer: A Radiation Oncologist's Point of View. Yonsei Medical Journal. 62(7). 569–569. 3 indexed citations

11.

Chun, Jaehee, et al.. (2021). Evaluation of super-resolution on 50 pancreatic cancer patients with real-time cine MRI from 0.35T MRgRT. Biomedical Physics & Engineering Express. 7(5). 55020–55020. 5 indexed citations

12.

Chun, Jaehee, In‐Kyung Park, Juyoung Lee, et al.. (2021). Deep-Learning-Based Automatic Segmentation of Head and Neck Organs for Radiation Therapy in Dogs. Frontiers in Veterinary Science. 8. 721612–721612. 10 indexed citations

13.

Lee, Juyoung, Brian J. Bartholmai, Tobias Peikert, et al.. (2021). Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean patients for prediction of invasiveness of ground-glass opacity nodule. PLoS ONE. 16(6). e0253204–e0253204. 5 indexed citations

14.

Chung, Seung Yeun, Jee Suk Chang, Jaehee Chun, et al.. (2021). Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery. Radiation Oncology. 16(1). 44–44. 45 indexed citations

15.

Chun, Jaehee, et al.. (2021). Deep Learning-Based Automatic Detection and Segmentation of Gross Tumor for Stereotactic Ablative Radiotherapy in Small-Volume Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 111(3). e121–e121. 2 indexed citations

16.

Chung, Seung Yeun, Nalee Kim, Jaehee Chun, et al.. (2020). Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer. Radiotherapy and Oncology. 153. 139–145. 76 indexed citations

17.

Kim, Nalee, Joo Ho Kim, Kwangwoo Park, et al.. (2019). Clinical Evaluation of Commercial Atlas-Based Auto-Segmentation in the Head and Neck Region. Frontiers in Oncology. 9. 239–239. 36 indexed citations

18.

Chun, Jaehee, Hao Zhang, H. Michael Gach, et al.. (2019). MRI super‐resolution reconstruction for MRI‐guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model. Medical Physics. 46(9). 4148–4164. 32 indexed citations

19.

Chun, Jaehee, et al.. (1996). Diagnostic Meaning of High Resolution Computed Tomography Compared with Chest Radiography for Screening of Welder's lung. Journal of Preventive Medicine and Public Health. 29(4). 853–861. 1 indexed citations

20.

Chun, Jaehee, et al.. (1991). Hematologic Findings & Urinalysis of Workers Exposed to Mixed Organic Solvents. Journal of Preventive Medicine and Public Health. 24(3). 314–327. 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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