Jaewon Lee

1.2k total citations
40 papers, 852 citations indexed

About

Jaewon Lee is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jaewon Lee has authored 40 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Jaewon Lee's work include Cardiac Valve Diseases and Treatments (9 papers), Heart Rate Variability and Autonomic Control (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Jaewon Lee is often cited by papers focused on Cardiac Valve Diseases and Treatments (9 papers), Heart Rate Variability and Autonomic Control (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Jaewon Lee collaborates with scholars based in South Korea, United States and Slovakia. Jaewon Lee's co-authors include Miyoung Shin, Kiyoung Lee, Hyeonjeong Lee, Vijay S. Kumbhar, Sung‐Cheol Yun, Jae‐Kwan Song, Jong‐Min Song, Duk‐Hyun Kang, Hyun Song and Kee‐Joon Choi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Materials Chemistry A.

In The Last Decade

Jaewon Lee

39 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaewon Lee South Korea 16 435 222 171 126 124 40 852
Seokmin Lee South Korea 16 46 0.1× 46 0.2× 56 0.3× 165 1.3× 44 0.4× 53 806
Chi‐Wei Chang Taiwan 14 128 0.3× 31 0.1× 37 0.2× 176 1.4× 92 0.7× 41 558
Gang Yang China 17 588 1.4× 87 0.4× 38 0.2× 22 0.2× 11 0.1× 84 961
С. В. Селищев Russia 14 85 0.2× 99 0.4× 31 0.2× 92 0.7× 3 0.0× 91 594
Wenyan Liu China 15 120 0.3× 37 0.2× 63 0.4× 119 0.9× 5 0.0× 53 628
Yusuke Kasahara Japan 16 280 0.6× 72 0.3× 18 0.1× 51 0.4× 5 0.0× 72 747
Jun Woo Park South Korea 16 14 0.0× 135 0.6× 17 0.1× 157 1.2× 37 0.3× 42 738
Jihoon Kang South Korea 15 152 0.3× 42 0.2× 273 1.6× 673 5.3× 9 0.1× 66 1.2k
Rahul N. Doshi United States 24 2.7k 6.2× 309 1.4× 82 0.5× 55 0.4× 3 0.0× 99 3.0k
Zhongrong Wang China 15 53 0.1× 45 0.2× 15 0.1× 121 1.0× 7 0.1× 51 564

Countries citing papers authored by Jaewon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaewon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewon Lee. A scholar is included among the top collaborators of Jaewon Lee 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 Jaewon Lee. Jaewon Lee 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, Jaewon & Miyoung Shin. (2025). Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation. Applied Sciences. 15(10). 5535–5535. 2 indexed citations
2.
Lee, Kyeong–Hwan, Jaewon Lee, & Miyoung Shin. (2024). Lightweight beat score map method for electrocardiogram-based arrhythmia classification. Journal of Applied Biomedicine. 44(4). 844–857. 2 indexed citations
3.
Lee, Jaewon & Miyoung Shin. (2024). Using beat score maps with successive segmentation for ECG classification without R-peak detection. Biomedical Signal Processing and Control. 91. 105982–105982. 7 indexed citations
4.
Lee, Jaewon, et al.. (2024). Enhancing Inter-Patient Performance for Arrhythmia Classification with Adversarial Learning Using Beat-Score Maps. Applied Sciences. 14(16). 7227–7227. 3 indexed citations
5.
Kim, Sung Min, et al.. (2024). Association of parental depression with adolescent children’s psychological well-being and health behaviors. BMC Public Health. 24(1). 1412–1412. 1 indexed citations
6.
Lee, Jaewon & Miyoung Shin. (2023). Method for Solving Difficulties in Rhythm Classification Caused by Few Samples and Similar Characteristics in Electrocardiograms. Bioengineering. 10(2). 196–196. 5 indexed citations
7.
Lee, Jaewon, et al.. (2022). Consort Allergic Contact Dermatitis: A Systematic Review. Dermatitis. 33(3). 181–186. 3 indexed citations
8.
Lee, Jaewon, Hyeonjeong Lee, & Miyoung Shin. (2021). Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals. Sensors. 21(7). 2381–2381. 40 indexed citations
9.
Lee, Changsoo, et al.. (2020). Implementation of Barcelona Basic Model into TOUGH2-MP/FLAC3D. Tunnel and Underground Space. 30(1). 39–62. 2 indexed citations
10.
Reddy, N. Lakshmana, et al.. (2020). Energy and environmental applications of Sn4+/Ti4+ doped α-Fe2O3@Cu2O/CuO photoanode under optimized photoelectrochemical conditions. Environmental Pollution. 271. 116318–116318. 14 indexed citations
11.
Kumbhar, Vijay S., et al.. (2019). Interfacial growth of the optimal BiVO4 nanoparticles onto self-assembled WO3 nanoplates for efficient photoelectrochemical water splitting. Journal of Colloid and Interface Science. 557. 478–487. 53 indexed citations
12.
Lee, Jaewon, et al.. (2018). Effect of Floor Plan Characteristics on Housing Price - Focused on the Apartment in 3 Gangnam Districts since 2005. Korean Journal of Construction Engineering and Management. 19(4). 102–110. 1 indexed citations
13.
Jang, Jeong Yoon, Ran Heo, Sahmin Lee, et al.. (2017). Comparison of Results of Tricuspid Valve Repair Versus Replacement for Severe Functional Tricuspid Regurgitation. The American Journal of Cardiology. 119(6). 905–910. 21 indexed citations
14.
15.
Kang, Duk–Hyun, Jeong Yoon Jang, Sung‐Ji Park, et al.. (2015). Watchful observation versus early aortic valve replacement for symptomatic patients with normal flow, low-gradient severe aortic stenosis. Heart. 101(17). 1375–1381. 30 indexed citations
16.
Kang, Duk–Hyun, Sung‐Ji Park, Byung Joo Sun, et al.. (2014). Early Surgery Versus Conventional Treatment for Asymptomatic Severe Mitral Regurgitation. Journal of the American College of Cardiology. 63(22). 2398–2407. 72 indexed citations
17.
Kim, Young Sung, et al.. (2012). A Preliminary Evaluation of NeuroGuide and IVA + Plus as Diagnostic Tools for Attention-Deficit Hyperactivity Disorder.. 19(1). 45–52. 1 indexed citations
18.
Kang, Duk‐Hyun, Jeong Hoon Kim, Mi‐Jeong Kim, et al.. (2009). Comparison of Early Surgery Versus Conventional Treatment in Asymptomatic Severe Mitral Regurgitation. Circulation. 119(6). 797–804. 200 indexed citations
19.
Lee, Jaewon, et al.. (2001). Midterm Results of Mitral Valve Repair by the New Chordae Formation Technique. The Korean Journal of Thoracic and Cardiovascular Surgery. 34(4). 329–337. 2 indexed citations
20.
Lee, Jaewon, et al.. (2000). Routine Minimally Invasive Aortic Valve Procedures. Cardiovascular Surgery. 8(6). 484–490. 4 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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