IEEE Transactions on Neural Systems and Rehabilitation Engineering

Papers
(The H4-Index of IEEE Transactions on Neural Systems and Rehabilitation Engineering is 42. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG296
A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals130
Multi-View Spatial-Temporal Graph Convolutional Networks With Domain Generalization for Sleep Stage Classification121
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization118
Transcutaneous Spinal Cord Stimulation Restores Hand and Arm Function After Spinal Cord Injury117
A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification100
Improving the Performance of Individually Calibrated SSVEP-BCI by Task- Discriminant Component Analysis90
A Temporal-Spectral-Based Squeeze-and- Excitation Feature Fusion Network for Motor Imagery EEG Decoding84
FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography82
Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG80
A Multi-Scale Fusion Convolutional Neural Network Based on Attention Mechanism for the Visualization Analysis of EEG Signals Decoding79
Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification78
EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces74
Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication73
Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm69
Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System69
Enhancing EEG-Based Classification of Depression Patients Using Spatial Information67
Brain Functional Networks Based on Resting-State EEG Data for Major Depressive Disorder Analysis and Classification66
Seizure Prediction Using Directed Transfer Function and Convolution Neural Network on Intracranial EEG64
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates64
An Effective Dual Self-Attention Residual Network for Seizure Prediction64
Motor Imagery EEG Decoding Method Based on a Discriminative Feature Learning Strategy62
Computer Vision to Automatically Assess Infant Neuromotor Risk61
RobustSleepNet: Transfer Learning for Automated Sleep Staging at Scale60
Dynamic Joint Domain Adaptation Network for Motor Imagery Classification60
Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings59
Symbitron Exoskeleton: Design, Control, and Evaluation of a Modular Exoskeleton for Incomplete and Complete Spinal Cord Injured Individuals59
Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation56
Deep Temporal-Spatial Feature Learning for Motor Imagery-Based Brain–Computer Interfaces56
Capsule Attention for Multimodal EEG-EOG Representation Learning With Application to Driver Vigilance Estimation54
Self-Aligning Mechanism Improves Comfort and Performance With a Powered Knee Exoskeleton53
Convolutional Correlation Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface53
Passive Shoulder Exoskeletons: More Effective in the Lab Than in the Field?51
Optimizing Exoskeleton Assistance for Faster Self-Selected Walking50
Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern48
A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces47
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network46
Cross-Subject Zero Calibration Driver’s Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification45
An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion44
Cervical Spinal Cord Transcutaneous Stimulation Improves Upper Extremity and Hand Function in People With Complete Tetraplegia: A Case Study44
Improved High-Density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network44
VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel43
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