■ "Enhancing ECG Classification Generalization Through Unified Multi-Dataset Training." Sensors 26.6 (2026): 1830.
■ "Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation.", Applied Sciences, 2025
■ "Lightweight beat score map method for electrocardiogram-based arrhythmia classification.", Biocybernetics and Biomedical Engineering, 2024
■ “Enhancing Inter-Patient Performance for Arrhythmia Classification with Adversarial Learning Using Beat-Score Maps”, Applied Sciences, 2024
■ “Using beat score maps with successive segmentation for ECG classification without R-peak detection”, Biomedical Signal Processing and Control, 2024.
■ “A Knowledge Graph Embedding Approach for Polypharmacy Side Effects Prediction”, Applied Sciences, 2023.
■ “Method for Solving Difficulties in Rhythm Classification Caused by Few Samples and Similar Characteristics in Electrocardiograms”, Bioengineering, 2023.
■ “Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs”, Sensors, 2021.
■ “Driving stress detection using multimodal convolutional neural networks with nonlinear representation of short-term physiological signals”, Sensors, 2021.
■ “Utilizing HRV-Derived Respiration Measures for Driver Drowsiness Detection”, Electronics, 2019.
■ “Using wearable ECG/PPG sensors for driver drowsiness detection based on distinguishable pattern of recurrence plots”, Electronics, 2019.
■ “Inferring genes and biological functions that are sensitive to the severity of toxicity symptoms”, International Journal of Molecular Sciences, 2017.
■ “Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data”, BioData Mining, 2017.