Dae‐Hyeok Kim

806 total citations
53 papers, 582 citations indexed

About

Dae‐Hyeok Kim is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dae‐Hyeok Kim has authored 53 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 15 papers in Surgery and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dae‐Hyeok Kim's work include Cardiac Imaging and Diagnostics (11 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Acute Myocardial Infarction Research (10 papers). Dae‐Hyeok Kim is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Acute Myocardial Infarction Research (10 papers). Dae‐Hyeok Kim collaborates with scholars based in South Korea, United Kingdom and United States. Dae‐Hyeok Kim's co-authors include Jun Kwan, Yong‐Soo Baek, Sung‐Hee Shin, Sang‐Don Park, Seong‐Ill Woo, Wonik Choi, Sang‐Chul Lee, Man‐Jong Lee, Woohyung Lee and Gye‐Rae Tack and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Dae‐Hyeok Kim

52 papers receiving 573 citations

Peers

Dae‐Hyeok Kim
Hasan Gök Türkiye
Dae‐Hyeok Kim
Citations per year, relative to Dae‐Hyeok Kim Dae‐Hyeok Kim (= 1×) peers Hasan Gök

Countries citing papers authored by Dae‐Hyeok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Hyeok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Hyeok Kim. 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 Dae‐Hyeok Kim. The network helps show where Dae‐Hyeok Kim may publish in the future.

Co-authorship network of co-authors of Dae‐Hyeok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Hyeok Kim. A scholar is included among the top collaborators of Dae‐Hyeok Kim 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 Dae‐Hyeok Kim. Dae‐Hyeok Kim 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.
Kim, Dae‐Young, Sung Kee Ryu, Hee Jae Shin, et al.. (2025). Association of Right Ventricular–Pulmonary Arterial Coupling and Progression of Tricuspid Regurgitation in Patients With Atrial Fibrillation. Journal of the American Heart Association. 14(6). e037757–e037757. 1 indexed citations
2.
Lee, Sang‐Won, Daeyoung Kim, Sung‐Hee Shin, et al.. (2024). Use of artificial intelligence-powered ECG to differentiate between cardiac and pulmonary pathologies in patients with acute dyspnoea in the emergency department. Open Heart. 11(2). e002924–e002924. 1 indexed citations
3.
Kim, Ju Youn, Seung‐Jung Park, Kyoung‐Min Park, et al.. (2024). Comparison of High- and Low-Dose Rivaroxaban Regimens in Elderly East Asian Patients With Atrial Fibrillation. Journal of Korean Medical Science. 39(8). e72–e72. 1 indexed citations
4.
Baek, Yong‐Soo, Sang‐Chul Lee, Dae‐Hyeok Kim, et al.. (2024). TS-ECG: A Deep Learning Approach for Classification Paroxysmal Atrial Fibrillation During Normal Sinus Rhythm. IEEE Access. 12. 186035–186046. 1 indexed citations
5.
Baek, Yong‐Soo, et al.. (2023). Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes. Frontiers in Cardiovascular Medicine. 10. 1137892–1137892. 19 indexed citations
6.
Baek, Yong‐Soo, et al.. (2023). Artificial intelligence-enhanced electrocardiography for early assessment of coronavirus disease 2019 severity. Scientific Reports. 13(1). 15187–15187. 3 indexed citations
7.
Kim, Dae‐Hyeok, et al.. (2023). Effect of the Slinger Ring on the Forced Convection Heat Transfer in a Window Air Conditioner. Energies. 16(24). 7947–7947. 1 indexed citations
8.
Jang, Albert Youngwoo, et al.. (2021). Valsartan Dosage on Ventriculo-Vascular Coupling Index Dose-Dependency in Heart Failure Patients. Yonsei Medical Journal. 62(5). 391–391.
9.
Baek, Yong‐Soo, Sang‐Chul Lee, Wonik Choi, & Dae‐Hyeok Kim. (2021). A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm. Scientific Reports. 11(1). 12818–12818. 62 indexed citations
10.
Baek, Yong‐Soo, Je‐Wook Park, Hee Tae Yu, et al.. (2021). Clinical Outcomes of Computational Virtual Mapping-Guided Catheter Ablation in Patients With Persistent Atrial Fibrillation: A Multicenter Prospective Randomized Clinical Trial. Frontiers in Cardiovascular Medicine. 8. 772665–772665. 12 indexed citations
11.
Baek, Yong‐Soo, Jong‐Il Choi, Yun Gi Kim, et al.. (2020). Atrial Substrate Underlies the Recurrence after Catheter Ablation in Patients with Atrial Fibrillation. Journal of Clinical Medicine. 9(10). 3164–3164. 8 indexed citations
12.
14.
Lee, Man‐Jong, Sang‐Don Park, Seong‐Ill Woo, et al.. (2016). Relation Between Neutrophil-to-Lymphocyte Ratio and Index of Microcirculatory Resistance in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention. The American Journal of Cardiology. 118(9). 1323–1328. 34 indexed citations
15.
Park, Sang‐Don, Yong‐Soo Baek, Man‐Jong Lee, et al.. (2015). Comprehensive assessment of microcirculation after primary percutaneous intervention in ST-segment elevation myocardial infarction. Coronary Artery Disease. 27(1). 34–39. 20 indexed citations
16.
Kim, Dae‐Hyeok, Sang‐Don Park, Yong‐Soo Baek, et al.. (2014). The Relationship Between J Wave on the Surface Electrocardiography and Ventricular Fibrillation during Acute Myocardial Infarction. Journal of Korean Medical Science. 29(5). 685–685. 14 indexed citations
18.
Seo, Jeong-Woo, et al.. (2014). Finite element analysis of the femur during stance phase of gait based on musculoskeletal model simulation. Bio-Medical Materials and Engineering. 24(6). 2485–2493. 19 indexed citations
19.
Shin, Sung‐Hee, et al.. (2012). BLOOD PRESSURE VARIABILITY IS ASSOCIATED WITH LEFT VENTRICULAR DIASTOLIC FUNCTION AND ARTERIAL STIFFNESS IN THE HYPERTENSIVE PATIENTS. Journal of the American College of Cardiology. 59(13). E1638–E1638. 2 indexed citations
20.
Kim, Dae‐Hyeok, et al.. (2007). Change of the P wave duration and P wave dispersion according to treatment strategy in patients with a acute myocardial infarction. The Korean Journal of Internal Medicine. 73(5). 489–495. 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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