Yunsub Jung

496 total citations
30 papers, 350 citations indexed

About

Yunsub Jung is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Yunsub Jung has authored 30 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Yunsub Jung's work include Advanced X-ray and CT Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (6 papers). Yunsub Jung is often cited by papers focused on Advanced X-ray and CT Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (6 papers). Yunsub Jung collaborates with scholars based in South Korea, Denmark and United States. Yunsub Jung's co-authors include Jong Hyo Kim, Hee Seok Jeong, Chankue Park, Jae‐Yeon Hwang, Ki Seok Choo, Sang Ho Lee, Dong Ha Lee, Youngho Kim, Jeong Seon Park and In Gwun Jang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yunsub Jung

27 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunsub Jung South Korea 9 203 121 40 37 29 30 350
Shinya Onogi Japan 10 87 0.4× 190 1.6× 22 0.6× 51 1.4× 15 0.5× 55 301
Πέτρος Γιαταγάνας United Kingdom 14 57 0.3× 277 2.3× 15 0.4× 85 2.3× 15 0.5× 24 398
Vincent Groenhuis Netherlands 12 112 0.6× 282 2.3× 6 0.1× 48 1.3× 31 1.1× 33 387
Nghia Nguyen United Kingdom 11 235 1.2× 184 1.5× 26 0.7× 22 0.6× 14 0.5× 39 338
Ryan Decker United States 7 61 0.3× 262 2.2× 3 0.1× 88 2.4× 24 0.8× 8 489
Michael Kam United States 6 33 0.2× 162 1.3× 5 0.1× 41 1.1× 11 0.4× 13 274
Mark Draelos United States 10 235 1.2× 254 2.1× 3 0.1× 56 1.5× 15 0.5× 40 436
Wan Sing Ng Singapore 11 48 0.2× 253 2.1× 4 0.1× 94 2.5× 23 0.8× 40 432
Takashi Takahashi Japan 10 56 0.3× 47 0.4× 8 0.2× 70 1.9× 23 0.8× 69 362
Marco Esposito Germany 10 57 0.3× 190 1.6× 4 0.1× 73 2.0× 18 0.6× 14 318

Countries citing papers authored by Yunsub Jung

Since Specialization
Citations

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

Fields of papers citing papers by Yunsub Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsub Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Yunsub Jung. A scholar is included among the top collaborators of Yunsub Jung 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 Yunsub Jung. Yunsub Jung 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.
Jung, Yunsub, et al.. (2024). Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry. Journal of Clinical Medicine. 13(8). 2253–2253. 2 indexed citations
2.
Jung, Yunsub, et al.. (2024). A method for comparing MRI sequences of the knee for segmentation based on morphological features. PLoS ONE. 19(12). e0311532–e0311532.
3.
Jung, Yunsub, You Seon Song, In Sook Lee, & Seung Joon Rhee. (2023). Comprehensive evaluation of artifact reduction and tissue recovery effects of metal artifact reduction technique based on full-reference metric. Scientific Reports. 13(1). 11679–11679. 1 indexed citations
4.
Jung, Yunsub, et al.. (2023). Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography Angiography. Journal of Clinical Medicine. 12(10). 3501–3501. 3 indexed citations
5.
Jung, Yunsub, Jin Hur, Kyunghwa Han, et al.. (2023). Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study. Quantitative Imaging in Medicine and Surgery. 13(3). 1937–1947. 4 indexed citations
6.
Choi, In Young, et al.. (2022). Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative Reconstruction. SHILAP Revista de lepidopterología. 106(1). 15–15. 6 indexed citations
7.
Choi, Seo‐Youn, Ji Eun Lee, Sanghyeok Lim, et al.. (2022). Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study. European Radiology. 32(6). 3974–3984. 11 indexed citations
8.
Kim, Jihwan, Chankue Park, Hee Seok Jeong, et al.. (2020). The Optimal Combination of Monochromatic and Metal Artifact Reconstruction Dual-energy CT to Evaluate Total Knee Replacement Arthroplasty. European Journal of Radiology. 132. 109254–109254. 12 indexed citations
9.
Park, Chankue, et al.. (2020). CT iterative vs deep learning reconstruction: comparison of noise and sharpness. European Radiology. 31(5). 3156–3164. 88 indexed citations
10.
Park, Chankue, et al.. (2020). Correction to: CT iterative vs deep learning reconstruction: comparison of noise and sharpness. European Radiology. 31(6). 4410–4411. 3 indexed citations
11.
Jung, Yunsub, et al.. (2017). A Study on Development of Fire Risk Prediction Model in Manufacturing Facilities Using Artificial Neural Network. Korean Society of Hazard Mitigation. 17(1). 161–167. 1 indexed citations
12.
Jung, Yunsub, et al.. (2016). Calling the patient's own name facilitates recovery from general anaesthesia: a randomised double‐blind trial. Anaesthesia. 72(2). 197–203. 6 indexed citations
13.
Kim, Young‐Keun, Kyung-Soo Kim, Soohyun Kim, et al.. (2012). Structure optimization of 1-D laser sensors assembly for robust 6-DOF measurement. VBN Forskningsportal (Aalborg Universitet). 5579. 1–4. 2 indexed citations
14.
Kim, Young‐Keun, Kyung-Soo Kim, Soohyun Kim, et al.. (2012). Developing a robust sensing system for remote relative 6-DOF motion using 1-D laser sensors. VBN Forskningsportal (Aalborg Universitet). 1–4. 7 indexed citations
15.
Yang, Hee Kyung, et al.. (2011). Improvement of horizontal macular contraction after surgical removal of epiretinal membranes. Eye. 25(6). 754–761. 25 indexed citations
16.
Lee, Sang Ho, et al.. (2010). Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE‐MRI. Medical Physics. 37(8). 3940–3956. 47 indexed citations
17.
Lee, Sang Ho, Jong Hyo Kim, Jeong Seon Park, Yunsub Jung, & Woo Kyung Moon. (2009). Characterizing time-intensity curves for spectral morphometric analysis of intratumoral enhancement patterns in breast DCE-MRI: Comparison between differentiation performance of temporal model parameters based on DFT and SVD. VBN Forskningsportal (Aalborg Universitet). 65–68. 4 indexed citations
18.
Jung, Yunsub, et al.. (2009). Automatic patient-adaptive bleeding detection in a capsule endoscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7260. 72603T–72603T. 5 indexed citations
19.
Jung, Yunsub, Youngho Kim, Dong Ha Lee, & Jong Hyo Kim. (2008). Active Blood Detection in a High Resolution Capsule Endoscopy using Color Spectrum Transformation. VBN Forskningsportal (Aalborg Universitet). 859–862. 36 indexed citations
20.
Jung, Yunsub, et al.. (1996). A human case of internal myiasis in Korea. Korean Journal of Parasitology. 34(2). 151–151. 22 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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