Mi Sun Chung

891 total citations
48 papers, 656 citations indexed

About

Mi Sun Chung is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mi Sun Chung has authored 48 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mi Sun Chung's work include Advanced MRI Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Mi Sun Chung is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Mi Sun Chung collaborates with scholars based in South Korea, United States and Belarus. Mi Sun Chung's co-authors include Jeong Hyun Lee, Young Jun Choi, Jung Hwan Baek, Ji Eun Park, Hsi‐Ya Huang, Hyuck Jae Choi, Mi‐Hyun Kim, Ji Young Lee, Won‐Jin Moon and Seon‐Ok Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mi Sun Chung

46 papers receiving 638 citations

Peers

Mi Sun Chung
Mi Sun Chung
Citations per year, relative to Mi Sun Chung Mi Sun Chung (= 1×) peers Hiroki Matsumoto

Countries citing papers authored by Mi Sun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Mi Sun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Sun Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Sun Chung. A scholar is included among the top collaborators of Mi Sun 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 Mi Sun Chung. Mi Sun Chung 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.
Lee, Su Hyun, et al.. (2024). Investigating the effect of lattice design on sauce adhesion in 3D printed durum wheat pasta. Food Bioscience. 59. 103858–103858. 5 indexed citations
3.
Lee, Eunjung, et al.. (2022). Diagnosis of intracranial lesions using accelerated 3D T1 MPRAGE with wave-CAIPI technique: comparison with conventional 3D T1 MPRAGE. Scientific Reports. 12(1). 21930–21930. 3 indexed citations
4.
Lee, Ji Young, et al.. (2021). Expert Opinions and Recommendations for the Clinical Use of Quantitative Analysis Software for MRI-Based Brain Volumetry. SHILAP Revista de lepidopterología. 82(5). 1124–1124. 7 indexed citations
5.
Yim, Younghee, Mi Sun Chung, Su Yeong Kim, et al.. (2021). Wave-controlled aliasing in parallel imaging magnetization-prepared gradient echo (wave-CAIPI MPRAGE) accelerates speed for pediatric brain MRI with comparable diagnostic performance. Scientific Reports. 11(1). 13296–13296. 4 indexed citations
6.
Suh, Chong Hyun, Jeong Hyun Lee, Mi Sun Chung, et al.. (2020). MRI Predictors of Malignant Transformation in Patients with Inverted Papilloma: A Decision Tree Analysis Using Conventional Imaging Features and Histogram Analysis of Apparent Diffusion Coefficients. Korean Journal of Radiology. 22(5). 751–751. 8 indexed citations
7.
Chung, Mi Sun, Eunjung Lee, Sujin Kim, Seon‐Ok Kim, & Jun Soo Byun. (2020). Wave-CAIPI susceptibility-weighted imaging achieves diagnostic performance comparable to conventional susceptibility-weighted imaging in half the scan time. European Radiology. 30(4). 2182–2190. 12 indexed citations
8.
Nam, Taek Kyun, et al.. (2019). Feasibility and Effectiveness of Direct Puncture and Onyx Embolization for Transverse Sinus Dural Arteriovenous Fistula. Yonsei Medical Journal. 60(11). 1112–1112. 4 indexed citations
9.
Lee, Ji Ye, Jeong Hyun Lee, Young Jun Choi, et al.. (2019). Detection of Local Recurrence in Patients with Head and Neck Squamous Cell Carcinoma Using Voxel-Based Color Maps of Initial and Final Area under the Curve Values Derived from DCE-MRI. American Journal of Neuroradiology. 40(8). 1392–1401. 14 indexed citations
10.
Chung, Mi Sun, Young Jun Choi, Seon‐Ok Kim, et al.. (2019). A Scoring System for Prediction of Cervical Lymph Node Metastasis in Patients with Head and Neck Squamous Cell Carcinoma. American Journal of Neuroradiology. 40(6). 1049–1054. 30 indexed citations
11.
Ryu, Kyeong Hwa, Jeong Hyun Lee, Hwa Jung Kim, et al.. (2017). US‐guided core‐needle biopsy versus US‐guided fine‐needle aspiration of suspicious cervical lymph nodes for staging workup of non‐head and neck malignancies: A propensity score matching study. Journal of Surgical Oncology. 116(7). 870–876. 10 indexed citations
12.
Park, Ji Eun, Jeong Hyun Lee, Kyeong Hwa Ryu, et al.. (2017). Improved Diagnostic Accuracy Using Arterial Phase CT for Lateral Cervical Lymph Node Metastasis from Papillary Thyroid Cancer. American Journal of Neuroradiology. 38(4). 782–788. 41 indexed citations
13.
Ryu, Kyeong Hwa, Jeong Hyun Lee, Ji Ye Lee, et al.. (2017). Ethanol Ablation of Ranulas: Short-Term Follow-Up Results and Clinicoradiologic Factors for Successful Outcome. American Journal of Neuroradiology. 38(9). 1794–1798. 7 indexed citations
14.
Chung, Mi Sun, Dong Hyun Yang, Young‐Hak Kim, et al.. (2017). Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model. European Radiology. 27(10). 4044–4053. 8 indexed citations
15.
Chung, Mi Sun, Seung Chai Jung, Ho Sung Kim, et al.. (2016). Comparison of High-Resolution MR Imaging and Digital Subtraction Angiography for the Characterization and Diagnosis of Intracranial Artery Disease. American Journal of Neuroradiology. 37(12). 2245–2250. 26 indexed citations
16.
Chung, Mi Sun, Young Jun Choi, Jong‐Lyel Roh, et al.. (2016). Interobserver reproducibility of cervical lymph node measurements at CT in patients with head and neck squamous cell carcinoma. Clinical Radiology. 71(12). 1226–1232. 7 indexed citations
17.
Chung, Mi Sun, Dong Hyun Yang, Young‐Hak Kim, et al.. (2015). Stent fracture and longitudinal compression detected on coronary CT angiography in the first- and new-generation drug-eluting stents. International journal of cardiac imaging. 32(4). 637–646. 13 indexed citations
18.
Chung, Mi Sun, et al.. (2015). Computed tomography findings of internal hernia after gastric bypass that may precede small bowel obstruction. Hernia. 20(3). 471–477. 12 indexed citations
19.
Chung, Mi Sun, et al.. (2005). Estimated daily intakes of butylated hydroxyanisole (BHA), butylated hydroxytoluene (BHT) andtert-butyl hydroquinone (TBHQ) antioxidants in Korea. Food Additives & Contaminants. 22(12). 1176–1188. 47 indexed citations
20.
Chung, Mi Sun, et al.. (2005). Daily intake assessment of saccharin, stevioside, D-sorbitol and aspartame from various processed foods in Korea. Food Additives & Contaminants. 22(11). 1087–1097. 32 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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