Journal of Neural Engineering

Papers
(The H4-Index of Journal of Neural Engineering is 36. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Decoding cortical responses from visual input using an endovascular brain–computer interface98
A meta-learning BCI for estimating decision confidence92
A message from the incoming editor77
Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting74
A systematic evaluation of Euclidean alignment with deep learning for EEG decoding71
Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study63
Bayesian optimization of cortical neuroprosthetic vision using perceptual feedback63
Feature fusion based on global-local weighted attention model for automatic epileptic seizure detection62
TMS-induced phase resets depend on TMS intensity and EEG phase58
Tensor factorization approach for ERP-based assessment of schizotypy in a novel auditory oddball task on perceived family stress56
First-in-human experience performing high-resolution cortical mapping using a novel microelectrode array containing 1024 electrodes54
Delayed administration of interleukin-4 coacervate alleviates the neurotoxic phenotype of astrocytes and promotes functional recovery after a contusion spinal cord injury48
Sensor selection and miniaturization limits for detection of interictal epileptiform discharges with wearable EEG47
Motor imagery with cues in virtual reality, audio and screen47
Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data46
Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization46
Cross-person decomposition of surface electromyogram for efficient motor unit activity predictions44
A new attention-based 3D densely connected cross-stage-partial network for motor imagery classification in BCI42
Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice42
Fascicles split or merge every ∼560 microns within the human cervical vagus nerve42
Multi-feature computational framework for combined signatures of dementia in underrepresented settings42
Neuromorphic applications in medicine42
Dynamic modulation of corticomuscular coherence during ankle dorsiflexion after stroke: towards hybrid BCI for lower-limb rehabilitation41
A 0.53-μW/channel calibration-free spike detection IC with 98.8-%-accuracy based on stationary wavelet transforms and Teager energy operators41
Neural regulation of slow waves and phasic contractions in the distal stomach: a mathematical model40
Source localization of simulated neural signals in a cervical spinal cord model39
Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion39
End-to-end learning of safe stimulation parameters for cortical neuroprosthetic vision39
Performance of optically pumped magnetometer magnetoencephalography: validation in large samples and multiple tasks38
Development and feasibility of a motor imagery–based brain-computer interface-controlled closed-loop functional electrical stimulation system for swallowing rehabilitation38
TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural network38
Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery38
Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive brain–computer interfaces37
Stimulation-induced changes at the electrode–tissue interface and their influence on deep brain stimulation36
Accuracy and precision of navigated transcranial magnetic stimulation36
Multiparametric non-linear TENS modulation to integrate intuitive sensory feedback36
NaviNIBS: a comprehensive and open-source software toolbox for neuronavigated noninvasive brain stimulation36
Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation36
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