OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Neural Engineering is 34. 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.)

Article	Citations
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers	154
Uncovering the structure of clinical EEG signals with self-supervised learning	105
EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising	101
EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification	101
Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions	93
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition	90
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface	77
Towards real-life EEG applications: novel superporous hydrogel-based semi-dry EEG electrodes enabling automatically ‘charge–discharge’ electrolyte	74
Implementing a calibration-free SSVEP-based BCI system with 160 targets	66
The Argo: a high channel count recording system for neural recording in vivo	64
A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy	60
A review of user training methods in brain computer interfaces based on mental tasks	59
Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing	59
Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface	55
Neural stimulation and recording performance in human sensorimotor cortex over 1500 days	55
Brain2Char: a deep architecture for decoding text from brain recordings	48
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art	47
Removal of movement-induced EEG artifacts: current state of the art and guidelines	47
Bioelectronic medicine for the autonomic nervous system: clinical applications and perspectives	46
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing	44
Compliant peripheral nerve interfaces	41
Boosting template-based SSVEP decoding by cross-domain transfer learning	40
Carbon-based neural electrodes: promises and challenges	38
Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time	37
Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review	37

Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification	36
Stretchable gold nanowire-based cuff electrodes for low-voltage peripheral nerve stimulation	36
Spatiotemporal patterns of gene expression around implanted silicon electrode arrays	36
Wearable wireless power systems for ‘ME-BIT’ magnetoelectric-powered bio implants	35
Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning	35
Platinum dissolution and tissue response following long-term electrical stimulation at high charge densities	35
Deep learning for robust detection of interictal epileptiform discharges	35
A convolutional neural network to identify motor units from high-density surface electromyography signals in real time	35
Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions	34
Epidural and transcutaneous spinal cord stimulation facilitates descending inputs to upper-limb motoneurons in monkeys	34
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax	34