Jihoon Kweon

1.3k total citations
55 papers, 875 citations indexed

About

Jihoon Kweon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jihoon Kweon has authored 55 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Surgery and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jihoon Kweon's work include Coronary Interventions and Diagnostics (26 papers), Cardiac Imaging and Diagnostics (22 papers) and Advanced MRI Techniques and Applications (10 papers). Jihoon Kweon is often cited by papers focused on Coronary Interventions and Diagnostics (26 papers), Cardiac Imaging and Diagnostics (22 papers) and Advanced MRI Techniques and Applications (10 papers). Jihoon Kweon collaborates with scholars based in South Korea, United States and China. Jihoon Kweon's co-authors include Young‐Hak Kim, Dong Hyun Yang, Namkug Kim, Haecheon Choi, Guk Bae Kim, Hojin Ha, Sang Joon Lee, Soo‐Jin Kang, Seong‐Wook Park and Joon‐Won Kang and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Jihoon Kweon

51 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jihoon Kweon South Korea 16 481 344 297 195 171 55 875
Coert Metz Netherlands 15 451 0.9× 147 0.4× 158 0.5× 187 1.0× 149 0.9× 32 752
Mark E. Olszewski United States 15 515 1.1× 304 0.9× 266 0.9× 303 1.6× 172 1.0× 36 870
Razvan Ionasec United States 16 220 0.5× 234 0.7× 592 2.0× 151 0.8× 135 0.8× 38 769
Cristian Lorenz Germany 18 421 0.9× 304 0.9× 145 0.5× 656 3.4× 158 0.9× 65 1.3k
Thomas Redel Germany 13 204 0.4× 158 0.5× 120 0.4× 87 0.4× 215 1.3× 33 646
Didier Vray France 17 716 1.5× 136 0.4× 398 1.3× 638 3.3× 250 1.5× 86 1.1k
Sandy Engelhardt Germany 12 148 0.3× 316 0.9× 164 0.6× 228 1.2× 61 0.4× 50 754
Erik Smistad Norway 19 583 1.2× 144 0.4× 449 1.5× 205 1.1× 155 0.9× 53 1.1k
Alberto Gómez United Kingdom 17 232 0.5× 203 0.6× 282 0.9× 244 1.3× 213 1.2× 55 779
Csaba Pintér Canada 12 339 0.7× 263 0.8× 48 0.2× 318 1.6× 179 1.0× 44 827

Countries citing papers authored by Jihoon Kweon

Since Specialization
Citations

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

Fields of papers citing papers by Jihoon Kweon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihoon Kweon

This figure shows the co-authorship network connecting the top 25 collaborators of Jihoon Kweon. A scholar is included among the top collaborators of Jihoon Kweon 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 Jihoon Kweon. Jihoon Kweon 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.
2.
Kim, Ju Hyeon, Do‐Yoon Kang, Jung‐Min Ahn, et al.. (2024). Optimal Minimal Stent Area and Impact of Stent Underexpansion in Left Main Up-Front 2-Stent Strategy. Circulation Cardiovascular Interventions. 17(1). 8 indexed citations
3.
Roh, Jae‐Hyung, Jihoon Kweon, Jae‐Hwan Lee, et al.. (2024). Artificial intelligence-based quantitative coronary angiography of major vessels using deep-learning. International Journal of Cardiology. 405. 131945–131945. 13 indexed citations
4.
Kim, Yongcheol, Hyuck‐Jun Yoon, Jon Suh, et al.. (2024). Artificial Intelligence–Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography–Guided PCI. JACC: Cardiovascular Interventions. 18(2). 187–197. 4 indexed citations
5.
Kim, Young In, et al.. (2023). Deep-Learning Segmentation of Urinary Stones in Noncontrast Computed Tomography. Journal of Endourology. 37(5). 595–606. 6 indexed citations
6.
Kweon, Jihoon, Young In Kim, Jae‐Hyung Roh, et al.. (2023). Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography. Medical Physics. 50(12). 7822–7839. 10 indexed citations
7.
Song, Sang Hoon, et al.. (2022). Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio. Investigative and Clinical Urology. 63(4). 455–455. 12 indexed citations
8.
9.
Ahn, Jung‐Min, Takehiro Hashikata, Hiroyuki Arashi, et al.. (2022). Impact of Serial Coronary Stenoses on Various Coronary Physiologic Indices. Circulation Cardiovascular Interventions. 15(9). e012134–e012134. 6 indexed citations
10.
Koo, Hyun Jung, Joon‐Won Kang, Soo‐Jin Kang, et al.. (2021). Impact of coronary calcium score and lesion characteristics on the diagnostic performance of machine-learning-based computed tomography-derived fractional flow reserve. European Heart Journal - Cardiovascular Imaging. 22(9). 998–1006. 16 indexed citations
11.
Kweon, Jihoon, Kyunghwan Kim, Jinwoo Park, et al.. (2021). Deep Reinforcement Learning for Guidewire Navigation in Coronary Artery Phantom. IEEE Access. 9. 166409–166422. 39 indexed citations
12.
Park, Jungeun, Jihoon Kweon, Do‐Yoon Kang, et al.. (2021). TCTAP A-044 Deep Learning Segmentation of Lumen and Vessel on IVUS Images. Journal of the American College of Cardiology. 77(14). S27–S27. 3 indexed citations
13.
Jo, Kyungmin, Jihoon Kweon, Young‐Hak Kim, & Jaesoon Choi. (2018). Segmentation of the Main Vessel of the Left Anterior Descending Artery Using Selective Feature Mapping in Coronary Angiography. IEEE Access. 7. 919–930. 20 indexed citations
14.
Ha, Hojin, Hyun Jung Koo, Hyung Kyu Huh, et al.. (2018). Effect of pannus formation on the prosthetic heart valve: In vitro demonstration using particle image velocimetry. PLoS ONE. 13(6). e0199792–e0199792. 12 indexed citations
15.
Yang, Dong Hyun, Soo‐Jin Kang, Hyun Jung Koo, et al.. (2018). Incremental Value of Subtended Myocardial Mass for Identifying FFR-Verified Ischemia Using Quantitative CT Angiography. JACC. Cardiovascular imaging. 12(4). 707–717. 23 indexed citations
16.
Kweon, Jihoon, et al.. (2017). An Agent-based Analysis Study on Maternity Clinical Space Vulnerable to Hospital Infection. Journal of Digital Design. 17(2). 104–114.
17.
Kweon, Jihoon, et al.. (2016). A Study on Quantitative CPTED Guideline Selection Model for Public Street Considering Spatial Characteristics of Juvenile Crimes in School Surroundings. Journal of Digital Design. 16(2). 1–10.
18.
Kweon, Jihoon, Dong Hyun Yang, Guk Bae Kim, et al.. (2016). Four-dimensional flow MRI for evaluation of post-stenotic turbulent flow in a phantom: comparison with flowmeter and computational fluid dynamics. European Radiology. 26(10). 3588–3597. 22 indexed citations
19.
Ha, Hojin, Guk Bae Kim, Jihoon Kweon, et al.. (2016). Estimation of turbulent kinetic energy using 4D phase-contrast MRI: Effect of scan parameters and target vessel size. Magnetic Resonance Imaging. 34(6). 715–723. 8 indexed citations
20.
Kweon, Jihoon. (2011). A Study on Weighted Visibility Analysis of Topographic Landscape Considering User's Visual Perception. 13(1). 85–92. 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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