Journal of Neural Engineering

Papers
(The H4-Index of Journal of Neural Engineering is 32. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
BCI for stroke rehabilitation: motor and beyond181
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers132
Review of semi-dry electrodes for EEG recording93
Uncovering the structure of clinical EEG signals with self-supervised learning86
Data augmentation for enhancing EEG-based emotion recognition with deep generative models80
Comparing user-dependent and user-independent training of CNN for SSVEP BCI76
Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions74
EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification72
EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising71
Towards real-life EEG applications: novel superporous hydrogel-based semi-dry EEG electrodes enabling automatically ‘charge–discharge’ electrolyte65
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition63
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface56
A review of user training methods in brain computer interfaces based on mental tasks50
Implementing a calibration-free SSVEP-based BCI system with 160 targets49
Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing47
Sources of off-target effects of vagus nerve stimulation using the helical clinical lead in domestic pigs47
Deep brain stimulation: a review of the open neural engineering challenges47
A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy46
Neural stimulation and recording performance in human sensorimotor cortex over 1500 days45
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression43
The Argo: a high channel count recording system for neural recording in vivo41
Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface39
Decoding of grasping tasks from intraneural recordings in trans-radial amputee39
Stability of flexible thin-film metallization stimulation electrodes: analysis of explants after first-in-human study and improvement of in vivo performance38
Bioelectronic medicine for the autonomic nervous system: clinical applications and perspectives37
An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals37
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis36
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing36
Brain2Char: a deep architecture for decoding text from brain recordings35
EEG data augmentation: towards class imbalance problem in sleep staging tasks35
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art33
Compliant peripheral nerve interfaces33
Rapidly formed stable and aligned dense collagen gels seeded with Schwann cells support peripheral nerve regeneration32
Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time32
Spatiotemporal patterns of gene expression around implanted silicon electrode arrays32
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