Yeha Lee

1.5k total citations
40 papers, 868 citations indexed

About

Yeha Lee is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Yeha Lee has authored 40 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Cardiology and Cardiovascular Medicine and 10 papers in Epidemiology. Recurrent topics in Yeha Lee's work include Sepsis Diagnosis and Treatment (9 papers), ECG Monitoring and Analysis (8 papers) and Machine Learning in Healthcare (7 papers). Yeha Lee is often cited by papers focused on Sepsis Diagnosis and Treatment (9 papers), ECG Monitoring and Analysis (8 papers) and Machine Learning in Healthcare (7 papers). Yeha Lee collaborates with scholars based in South Korea, Singapore and Nigeria. Yeha Lee's co-authors include Jinsik Park, Joon‐myoung Kwon, Seung‐Woo Lee, Byung‐Hee Oh, Ki‐Hyun Jeon, Hyunho Park, Kyung‐Hee Kim, Hwa Jin Cho, Oyeon Kwon and Soo Youn Lee and has published in prestigious journals such as Circulation, Scientific Reports and Critical Care Medicine.

In The Last Decade

Yeha Lee

36 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeha Lee South Korea 14 299 253 190 180 150 40 868
Joon‐myoung Kwon South Korea 18 609 2.0× 245 1.0× 242 1.3× 285 1.6× 188 1.3× 46 1.2k
Shiying Hao United States 15 137 0.5× 167 0.7× 194 1.0× 102 0.6× 71 0.5× 43 774
Zhi Xiong Koh Singapore 16 298 1.0× 161 0.6× 162 0.9× 257 1.4× 85 0.6× 37 754
Yaniv Kerem United States 12 97 0.3× 389 1.5× 436 2.3× 179 1.0× 91 0.6× 13 925
Rishikesan Kamaleswaran United States 16 238 0.8× 286 1.1× 393 2.1× 48 0.3× 110 0.7× 117 1.1k
Pablo Rengifo‐Moreno United States 11 204 0.7× 127 0.5× 165 0.9× 77 0.4× 42 0.3× 20 628
Hyunho Park South Korea 13 82 0.3× 135 0.5× 110 0.6× 140 0.8× 177 1.2× 19 504
Jinsik Park South Korea 22 917 3.1× 289 1.1× 264 1.4× 287 1.6× 270 1.8× 39 1.6k
Supreeth P. Shashikumar United States 16 256 0.9× 578 2.3× 534 2.8× 53 0.3× 95 0.6× 40 1.2k
Joseph Futoma United States 9 110 0.4× 386 1.5× 187 1.0× 54 0.3× 129 0.9× 15 788

Countries citing papers authored by Yeha Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yeha Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeha Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yeha Lee. A scholar is included among the top collaborators of Yeha 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 Yeha Lee. Yeha 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, Yeha, et al.. (2025). Specialized ECG data augmentation method: leveraging precordial lead positional variability. Biomedical Engineering Letters. 15(2). 377–388.
2.
An, Jung Nam, Minje Park, Sunghoon Joo, et al.. (2024). Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram. Scientific Reports. 14(1). 22868–22868. 3 indexed citations
3.
Kim, Taehwa, Hye Ju Yeo, Jin Ho Jang, et al.. (2023). Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data. Journal of Clinical Medicine. 12(22). 7156–7156. 7 indexed citations
4.
5.
Cho, Kyung Hoon, Mineok Chang, Sunghoon Joo, et al.. (2023). Abstract 13745: Exploring the Segment-Wise Explainability of Electrocardiogram on Deep Learning-Based Models for Acute Myocardial Infarction. Circulation. 148(Suppl_1). 1 indexed citations
6.
Cho, Hwa Jin, Yeha Lee, Soo Yeon Kim, et al.. (2022). Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events. Acute and Critical Care. 37(4). 654–666. 4 indexed citations
7.
Kim, Ju Youn, Seung‐Jung Park, Kyoung‐Min Park, et al.. (2022). An Artificial Intelligence Algorithm With 24-h Holter Monitoring for the Identification of Occult Atrial Fibrillation During Sinus Rhythm. Frontiers in Cardiovascular Medicine. 9. 906780–906780. 9 indexed citations
8.
Lee, Sung Jae, et al.. (2022). Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction. Scientific Reports. 12(1). 14235–14235. 15 indexed citations
9.
10.
Park, Seong Jong, Hwa Jin Cho, Oyeon Kwon, et al.. (2021). Development and validation of a deep-learning-based pediatric early warning system: A single-center study. Biomedical Journal. 45(1). 155–168. 17 indexed citations
11.
Lee, Yeon Joo, Hwa Jin Cho, Oyeon Kwon, et al.. (2021). A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards. Resuscitation. 163. 78–85. 32 indexed citations
12.
Kwon, Joon‐myoung, Yeha Lee, Hyunho Park, et al.. (2020). Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography. ASAIO Journal. 67(3). 314–321. 57 indexed citations
13.
Cho, Hwa Jin, Oyeon Kwon, Joon‐myoung Kwon, et al.. (2020). Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System. Critical Care Medicine. 48(4). e285–e289. 50 indexed citations
14.
Cho, Hwa Jin, et al.. (2019). Improving the Performance of a Neural Network for Early Prediction of Sepsis. Computing in Cardiology Conference. 1–4. 1 indexed citations
15.
Lee, Yeha, et al.. (2010). TREC 2010 Blog Track: Top Stories Identification.. Text REtrieval Conference.
16.
Lee, Yeha, et al.. (2010). A Synchronous Context Free Grammar using Dependency Sequence for Syntax-based Statistical Machine Translation. Conference of the Association for Machine Translation in the Americas. 1 indexed citations
17.
Kim, Jun-Gi, et al.. (2008). English Opinion Analysis for NTCIR7 at POSTECH. NTCIR. 2 indexed citations
18.
Lee, Yeha, et al.. (2008). KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval. Text REtrieval Conference. 34 indexed citations
19.
Lee, Yeha, Seung‐Hoon Na, & Jong-Hyeok Lee. (2008). Search Result Clustering Using Label Language Model. International Joint Conference on Natural Language Processing. 637–642. 2 indexed citations
20.
Lee, Yeha, et al.. (2007). POSTECH at NTCIR-6 English Patent Retrieval Subtask. NTCIR. 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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