Journal

* Corresponding author, † Co-first author

• "Hyper Neuro-adaptive Learning Enables A Fully EEG-guided Shared Autonomy System," 2025, Under review.

• “Artificial Intelligence in Veterinary Medicine for Companion Animals: A Comprehensive Survey,” 2025, Under Review.

• "Sleep Efficiency Prediction via Interpretable Learning Framework with Hyperparameter Optimization from Wearable Lifelog Data," 2025, Under Review.

• "E2T: EEG-to-Trajectory Transformer for Motor Imagery-based Fully-DoF Motion Prediction," 2025, Under Review.

• J.-H. Jeong†, M. Lee†, C. Lee, S.-H. Yu, H.-Y. Park, S.-N. Jang, R. D. Sanders, and S.-W. Lee, "EEG-based Cross-subject Prediction for Consciousness State Transitions under Sedation using a Deep Learning Framework," IEEE Journal of Biomedical and Health Informatics, 2025, Accepted.
  (2024-JCR-IF: 6.8, JIF Percentile TOP 4.5%)

• E. Lee, J. Jeong, G. Jo, T. Lee, G.-M. Moon, Y.-D. Seo, J.-H. Jeong*, "A self-adaptive framework for child healthcare in IoT environment using AI-based prediction," Pervasive and Mobile Computing, Vol. 116, 2026, p. 102153.
  (2024-JCR-IF: 3.5, JIF PERCENTILE TOP 37.5%)

• S.-H. Yu†, H.-Y. Park†, E. Lee, T.-E. Kam, J.-H. Jeong*, "DeepSMR: Decoding High-Complex Motor Imagery via Subject-Dependent Multi-Feature Refinement in Deep Convolutional Networks," Computers in Biology and Medicine, Vol. 197, 2025, p. 110920.
  (2024-JCR-IF: 6.3, JIF Percentile Top 5.9%)

• J. Jeong, J.-H. Jeong†, G.-M. Moon, Y.-D. Seo and E. Lee*, "Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data," Computers in Biology and Medicine, Vol.196, 2025, pp. 110855.
  (2024-JCR-IF: 6.3, JIF Percentile Top 5.9%)

• K. Jeong, S. Park, G. Jo, H. Seo, N. Choi, S. Jang, G. Park, Y.-D. Seo, Y.-H. Brad. Kim, J.-H. Jeong, S.-H. Hyun, J. Choi, and E. Lee*, “SEPO-FI: Deep-Learning Based Software to Calculating Fusion Index of Muscle Cells,” Computers in Biology and Medicine, Vol.186, 2025, pp. 109706.  
  (2024-JCR-IF: 6.3, JIF Percentile Top 5.9%)

• D.-Y. Kim, D.-K. Han, J.-H. Jeong, S.-W. Lee*, "Calibration-Free Driver Drowsiness Classification with Prototype-Based Multi-Domain Mixup," IEEE Transactions on Intelligent Transportation Systems, 2025, Vol. 26, No. 3, pp. 2955-2966.
  (2024-JCR-IF: 8.4, JIF Percentile Top 2.7%)

• K. Jeong, H. Oh, H. Seo, G.Cho, J. Jeong, Y. Lee, H. Park, J. Choi, Y.-D. Seo, J.-H. Jeong*, E. Lee*, "IoT and AI Systems for Enhancing Bee Colony Strength in Precision Beekeeping: A Survey and Future Research Directions," IEEE Internet of Things Journal, Vol. 12, No. 1, 2025, pp. 362-389.
  (2024-JCR-IF: 8.9, JIF Percentile Top 4.2%)

• K. Jeong, G. Jo, J. Lee, Brad Kim, J. Choi, H. Oh, J.-H. Jeong, and E. Lee, "Artificial Intelligence in Meat Processing: A Comprehensive Review of Data-Driven Applications and Future Directions," Meat and Muscle Biology, Vol. 9, No. 1, 2025, pp.1-30. 

• H. Oh†, H. Oh†, J. Jeong, S. Kim, K. Jeong, S.-H. Hyun, J.-H. Jeong, Y.-D. Seo and E. Lee*, "SEPO-IR: Software-based Evaluation Process for Calculate Infection Rate," Software X, Vol. 30, 2025, p. 102159.

• H. Yu, I.-G. Lee, J.-Y. Oh, T. Lee, J. Kim, J.-H. Jeong*, and K. Eom*, "Deep Learning-Based Ultrasonographic Classification of Canine Chronic Kidney Disease," Frontiers in Veterinary Science, Vol. 11, 2024, pp. 1-8.

(2023-JCR-IF: 2.6, JIF PERCENTILE TOP 13.1%)

• M. Lee, H. Kang, S.-H. Yu, H. Cho, J. Oh*, G. Lande, O. Gosseries, J.-H. Jeong*,“Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 32, 2024, pp. 2533-2544.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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, Vol. 32, 2024, pp. 1767-1778.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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.
  (2023-JCR-IF: 6.7, JIF PERCENTILE TOP 6.8%)

• 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, Vol. 251, pp. 123975.
  (2023-JCR-IF: 7.5, JIF PERCENTILE TOP 5.6%)

• 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, Vol. 28, No. 5, 2024, pp. 2967-2978.
  (2023-JCR-IF: 6.7, JIF PERCENTILE TOP 6.8%)

• 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.
  (2023-JCR-IF: 9.4 JIF PERCENTILE TOP 4.7%)

• 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 Transactions on Systems, Man and Cybernetics: Systems, Vol. 53, No. 10, 2023, pp. 6426-6437.
  (2023-JCR-IF: 8.6, JIF PERCENTILE TOP 5.3%)

• 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.
  (2023-JCR-IF: 9.4 JIF PERCENTILE TOP 4.7%)

• 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.
  (2023-JCR-IF: 2.4, JIF PERCENTILE TOP 39.1%)

• 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.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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. (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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.
  (2023-JCR-IF: 3.4, JIF PERCENTILE TOP 32.0%)

• 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.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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.
  (2023-JCR-IF: 4.8, JIF PERCENTILE TOP 2.9%)

• 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.
  (2023-JCR-IF: 11.8, JIF PERCENTILE TOP 7.4%)

• 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.
  (2023-JCR-IF: 3.4, JIF PERCENTILE TOP 34.9%)

• 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.
  (2023-JCR-IF: 3.4, JIF PERCENTILE TOP 34.9%)

• 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.
  (2023-JCR-IF: 3.4, JIF PERCENTILE TOP 34.9%)

• 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%)

• 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.