Journal

* Corresponding author, † Co-first author

Preprints

“A Comprehensive Survey on Machine Learning Advances in Veterinary Medicine,” IEEE Reviews in Biomedical Engineering, 2024, Under review.
(2022-JCR-IF: 17.6, JIF PERCENTILE TOP 2.0%)
“SEPO-CMR: A Deep Learning-Based Software to Calculate Muscle Cell Fusion Index in Cultured Meat Research,” Computers and Electronics in Agriculture, 2024, Under review.
(2022-JCR-IF: 8.3, JIF PERCENTILE TOP 1.0%)
“Precision Beekeeping IoT System for Bee Robustness : A Survey,” IEEE Internet of Things Journal, 2024, Under Review.
(2022-JCR-IF: 10.6, JIF PERCENTILE TOP 2.5%)
“Lifestyle Recommendation System Using Explainable AI-based Sleep Efficiency Prediction,” IEEE Journal of Biomedical and Health Informatics, 2024, Under review.
(2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)
“Short-Term Brain-Machine Learning System for Real-Time EEG Decoding,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, Major Revision.
(2022-JCR-IF: 8.7, JIF PERCENTILE TOP 5.0%)
“Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, Major Revision.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
“WUDI: A Human Involved Self-Adaptive Framework to Prevent Childhood Obesity in Internet of Things Environment,” IEEE Internet of Things Journal, 2024, Under Review.
(2022-JCR-IF: 10.6, JIF PERCENTILE TOP 2.5%)
“Deep Learning-based Ensemble Method to Predict Individual Pig Prices with Multi-Source Information,” IEEE Transactions on Multimedia, 2024, Under Review.
(2022-JCR-IF: 7.3, JIF PERCENTILE TOP 5.5%)
“Calibration-Free Driver Drowsiness Classification with Prototype-Based Multi-Domain Mixup,” IEEE Transactions on Intelligent Transportation Systems, 2024, Under Review.
(2022-JCR-IF: 8.5, JIF PERCENTILE TOP 2.8%)

International Journals

M. Lee, H.-Y. Park, W. Park, K.-T. Kim, Y.-H. Kim*, and J.-H. Jeong*, “Multi-task Heterogeneous Ensemble Learning-based Cross-Subject EEG Classification under Stroke Patients,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, Accepted.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
J.-H. Jeong, I.-G. Lee, S.-K. Kim, T.-E. Kam, S.-W. Lee*. and E. Lee*, “DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework,” IEEE Journal of Biomedical and Health Informatics, Vol. 24, No. 4, 2024, pp. 2282-2293.
(2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)
J.-M. Kim, K.-S. Heo, D.-H. Shin, H. Nam, D.-O. Won, J.-H Jeong, and T.-E. Kam*, “A Learnable Continuous Wavelet-based Multi-Branch Attentive Convolutional Neural Network for Spatio-Spectral-Temporal EEG Signal Decoding,” Expert Systems with Applications, 2024, Accepted.
(2022-JCR-IF: 8.5, JIF PERCENTILE TOP 6.9%)
D.-J. Lee, D.-H. Shin, Y.-H. Son, J.-W. Han, J.-H. Oh, D.-H Kim, J.-H. Jeong, and T.-E Kam*, “Spectral Graph Neural Network-based Multi-atlas Brain Network Fusion for Major Depressive Disorder Diagnosis,” IEEE Journal of Biomedical and Health Informatics, 2024, Accepted.
(2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)
J.-H. Jeong, J.-H. Cho, B.-H. Lee, and S.-W. Lee, “Real-Time Deep Neurolinguistic Learning Enhances Non-Invasive Neural Language Decoding for Brain-Machine Interaction,” IEEE Transactions on Cybernetics, Vol. 53, No. 12, 2023, pp. 7469-7482.
(2022-JCR-IF: 11.8 JIF PERCENTILE TOP 4.1%)
D.-H. Lee, J.-H. Jeong, B.-W. Yu, T.-E. Kam, and S.-W. Lee, "Autonomous System for EEG-based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment," IEEE Trans. Systems, Man and Cybernetics: Systems, Vol. 53, No. 10, 2023, pp. 6426-6437.
(2022-JCR-IF: 8.7, JIF PERCENTILE TOP 5.0%)
J.-H. Cho†, J.-H. Jeong†, and S.-W. Lee, “NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using A Dual-Stage Deep Learning Framework,” IEEE Transactions on Cybernetics, Vol. 52, No. 12, 2022, pp. 13279-13292.
(2022-JCR-IF: 19.188, JIF PERCENTILE TOP 4.1%)
J.-H. Jeong† , J.-H. Cho† , Y.-E. Lee, S.-H. Lee, G.-H. Shin, Y.-S. Kweon, J. R. Millán, K.-R. Müller, and S.-W. Lee, “2020 International Brain-Computer Interface Competition: A Review,” Frontiers in Human Neuroscience, 2022, Vol 16, 2022, pp.898300.
(2022-JCR-IF: 2.9, JIF PERCENTILE TOP 40.0%)
D.-Y. Lee†, J.-H. Jeong†, B.-H. Lee, and S.-W. Lee, “Motor Imagery Classification Using Inter-Task Transfer Learning via A Channel-Wise Variational Autoencoder-based Convolutional Neural Network,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, 2022, pp. 226-237.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
H.-J. Ahn, D.-H. Lee, J.-H. Jeong, S.-W. Lee., “Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, 2022, pp. 646 - 656.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
M. Lee†, J.-H. Jeong†, Y. Kim, S.-W. Lee, “Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients during Motor Imagery and Execution,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, 2021, pp. 1099-1109. (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
K. Kim†, J.-H. Jeong†, J.-H. Cho†, S. Kim, J. Kang, J. Ryu, S.-W. Lee, “Development of Human-Display Interface with Vibrotactile Feedback for a Real-World Assistive Application,” Sensors, Vol. 21, No.2, 2021, pp. 592-608.
(2022-JCR-IF: 3.9, JIF PERCENTILE TOP 30.1%)
J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, “Brain-Controlled Robotic Arm System based on Multi-Directional CNN-BiLSTM Network using EEG Signals,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No.5, 2020, pp. 1226-1238.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
J.-H. Jeong, N.-S. Kwak, C. Guan, and S.-W. Lee, “Decoding Movement-Related Cortical Potentials based on Subject-Dependent and Section-Wise Spectral Filtering,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, Vol. 28, No. 3, 2020, pp. 687-698.
(2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)
J.-H. Jeong, J.-H. Cho, K.-H. Shim, B.-H. Kwon, B.-H. Lee, D.-Y. Lee, D.-H. Lee, and S.-W. Lee, “Multimodal Signal Dataset for 11 Intuitive Movement Tasks from Single Upper Extremity during Multiple Recording Sessions,” GigaScience, Vol. 9, No. 10, 2020, pp. 1-15.
(2022-JCR-IF: 9.2, JIF PERCENTILE TOP 13.19%)
J.-H. Jeong, B.-H. Lee, D.-H. Lee, Y.-D. Yun, and S.-W. Lee, “EEG Classification of Forearm Movement Imagery Using A Hierarchical Flow Convolutional Neural Network,” IEEE Access, Vol. 8, 2020, pp. 66941-66950.
(2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)
D.-H. Lee†, J.-H. Jeong†, K. Kim, B.-W. Yu, and S.-W. Lee, “Continuous EEG Decoding of Pilots' Mental States using Multiple Feature Block-based Convolutional Neural Network,” IEEE Access, Vol. 8, 2020, pp. 121929-121941.
(2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)
B.-H. Lee†, J.-H. Jeong†, S.-W. Lee, “SessionNet: Feature Similarity-based Weighted Ensemble Learning for Motor Imagery Classification,” IEEE Access, Vol. 8, 2020, pp. 134524-134535.
(2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)
S.-B. Lee, H.-J. Kim, H. Kim, J.-H. Jeong, S.-W. Lee, and D.-J. Kim, “Comparative Analysis of Features Extracted from EEG Spatial, Spectral and Temporal Domains for Binary and Multiclass Motor Imagery Classification,” Information Sciences, Vol. 502, 2019, pp. 190-200.
(2022-JCR-IF: 8.1, JIF PERCENTILE TOP 8.2%)

Domestic Journals

S.-H. Yu, H.-Y Park, S.-J Lee, and J.-H. Jeong*, "Sentence-Level Neural Language Decoding based on Speech Imagery from EEG Signals," Journal of Korean Institute of Information Technology, Vol. 21, No. 8, 2023, pp. 153-164.
J.-Y. Oh, I.-G Lee, Y.-M Go, E. Lee, and J.-H. Jeong*, "Leveraging Image Classification and Semantic Segmentation for Robust Cardiomegaly Diagnosis in Pet," Journal of Korean Institute of Information Technology, Vol. 21, No. 8, 2023, pp. 143-152.
T.-H. Park, J.-Y. Oh, E. Lee, and J.-H. Jeong*, "Recognition of Pet Heart Failure Using Dual-stream Convolutional Neural Network," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 31-25.
H.-Y. Park, S.-H. Yu, and J.-H. Jeong*, "Towards Brain to Computer Bidirectional Interface Based on Speech Imagery Decoding from EEG Signals," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 37-40.
I.-G. Lee, M.-S. No, E. Lee, and J.-H. Jeong*, "Robust Body Mass Index Prediction of Adolescents Based on Long Short-term Memory Network," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 25-29.
S.-H. Yu, H.-Y. Park, and J.-H. Jeong*, "Recognizing Drowsiness States from EEG Signals Based on Temporal-Spatio Convolutional Neural Networks," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 41-45.