OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Neural Systems and Rehabilitation Engineering is 51. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Variation Minimization Based Electrocardiogram Artifacts Removal for Local Field Potentials From Neurostimulator	581
Muscle Synergy Analysis of Patients With Chronic Low Back Pain During Functional Tasks	230
3D Visual Discomfort Assessment With a Weakly Supervised Graph Convolution Neural Network Based on Inaccurately Labeled EEG	132
Biophysical Models With Adaptive Online Learning for Direct Neural Control of Prostheses	99
A Locomotion Mode Recognition Algorithm Using Adaptive Dynamic Movement Primitives	97
Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation	96
Detection of Stroke-Induced Visual Neglect and Target Response Prediction Using Augmented Reality and Electroencephalography	93
A Personalized Closed-Loop Brain Stimulation Protocol for Difficulty Falling Asleep	90
Detection of Low Resilience Using Data-Driven Effective Connectivity Measures	88
Decoding Upper-Limb Movements via Inter-Muscle Displacement: From Synthetic to Clinical Data in a Myokinetic Interface	86
A Distributed Automatic Control Framework for Simultaneous Control of Torque and Cadence in Functional Electrical Stimulation Cycling	85
A Deep-Learning Based Real-Time Prediction of Seated Postural Limits and Its Application in Trunk Rehabilitation	84
A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces	79
Neural Correlation Integrated Adaptive Point Process Filtering on Population Spike Trains	79
Corrections to “Effects of Targeted Assistance and Perturbations on the Relationship Between Pelvis Motion and Step Width in People With Chronic Stroke”	79
Visual Feedback Gain Modulates the Activation of Task-Related Networks and the Suppression of Non-Task Networks During Precise Grasping	79
Motor Imagery and Action Observation Induced Electroencephalographic Activations to Guide Subject-Specific Training Paradigm: A Pilot Study	78
Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery	77
Diagnosis of Mild Cognitive Impairment With Ordinal Pattern Kernel	76
Lower-Limb Non-Parametric Functional Muscle Network: Test-Retest Reliability Analysis	75
Proportional and Simultaneous Real-Time Control of the Full Human Hand From High-Density Electromyography	74
KAleep-Net: A Kolmogorov-Arnold Flash Attention Network for Sleep Stage Classification Using Single-Channel EEG With Explainability	73
Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks	73
Graph Reasoning Module for Alzheimer’s Disease Diagnosis: A Plug-and-Play Method	71
Corticomuscular Coupling Analysis in Stroke Rehabilitation Based on Variational Mode Decomposition-Transfer Entropy	70

Non-Intrusive Real Time Eye Tracking Using Facial Alignment for Assistive Technologies	70
An Online Estimating Framework for Ankle Actively Exerted Torque Under Multi-DOF Coupled Dynamic Motions via sEMG	69
A Novel Passive Shoulder Exoskeleton Using Link Chains and Magnetic Spring Joints	68
Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation	65
Modeling and Individualizing Continuous Joint Kinematics Using Gaussian Process Enhanced Fourier Series	62
Joint-Channel-Connectivity-Based Feature Selection and Classification on fNIRS for Stress Detection in Decision-Making	62
Enhancing SSVEP-BCI Performance Under Fatigue State Using Dynamic Stopping Strategy	62
Adaptive Adjustment of FES Profiles Using Norm-Optimal Iterative Learning Control for Foot Drop Correction	61
The Influence of Training With Visual Biofeedback on the Predictability of Myoelectric Control Usability	60
Application of Home-Based Wearable Technologies in Physical Rehabilitation for Stroke: A Scoping Review	60
Investigating Feedback-Informed Screen-Guided Training to Enhance Myoelectric Control and Predictability	60
Intelligent Sitting Posture Classifier for Wheelchair Users	60
Quantitative EEG Changes in Youth With ASD Following Brief Mindfulness Meditation Exercise	59
Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions	58
ERP and Pupillometry Synchronization Analysis on Rapid Serial Visual Presentation of Words, Numbers, Pictures	58
A Real-Time Non-Implantation Bi-Directional Brain–Computer Interface Solution Without Stimulation Artifacts	57
Speech2EEG: Leveraging Pretrained Speech Model for EEG Signal Recognition	57
EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning	55
Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks	55
Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients	54
Improving Sit/Stand Loading Symmetry and Timing Through Unified Variable Impedance Control of a Powered Knee-Ankle Prosthesis	53
Turning Strategies While Walking on an Omnidirectional Treadmill With Virtual Reality	53
Design and Experimental Evaluation of a Lower-Limb Exoskeleton for Assisting Workers With Motorized Tuning of Squat Heights	53
Development and Evaluation of Refreshable Braille Display and Active Touch-Reading System for Digital Reading of the Visually Impaired	52
A Review of Intelligent Walking Support Robots: Aiding Sit-to-Stand Transition and Walking	52
The Effects of Immersion and Visuo-Tactile Stimulation on Motor Imagery in Stroke Patients are Related to the Sense of Ownership	51
A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction	51
Effect of Feedback on Foot Strike Angle and Forward Propulsion in People With Stroke	51
An Intelligent Rehabilitation Assessment Method for Stroke Patients Based on Lower Limb Exoskeleton Robot	51