Journal of Neural Engineering

Papers
(The H4-Index of Journal of Neural Engineering is 35. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery95
Decoding cortical responses from visual input using an endovascular brain–computer interface91
A meta-learning BCI for estimating decision confidence73
A message from the incoming editor71
A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system68
Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting62
Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion60
A systematic evaluation of Euclidean alignment with deep learning for EEG decoding59
Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation58
Simultaneous encoding of speed, distance, and direction in discrete reaching: an EEG study55
Bayesian optimization of cortical neuroprosthetic vision using perceptual feedback52
TMS-induced phase resets depend on TMS intensity and EEG phase47
Feature fusion based on global-local weighted attention model for automatic epileptic seizure detection47
First-in-human experience performing high-resolution cortical mapping using a novel microelectrode array containing 1024 electrodes46
Tensor factorization approach for ERP-based assessment of schizotypy in a novel auditory oddball task on perceived family stress46
Delayed administration of interleukin-4 coacervate alleviates the neurotoxic phenotype of astrocytes and promotes functional recovery after a contusion spinal cord injury45
Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization42
Neural correlation between swallowing motor imagery and execution: an EEG analysis42
Sensor selection and miniaturization limits for detection of interictal epileptiform discharges with wearable EEG42
Motor imagery with cues in virtual reality, audio and screen42
Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data41
Cross-person decomposition of surface electromyogram for efficient motor unit activity predictions41
Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice40
Neural regulation of slow waves and phasic contractions in the distal stomach: a mathematical model39
NaviNIBS: a comprehensive and open-source software toolbox for neuronavigated noninvasive brain stimulation39
A 0.53-μW/channel calibration-free spike detection IC with 98.8-%-accuracy based on stationary wavelet transforms and Teager energy operators39
Dynamic modulation of corticomuscular coherence during ankle dorsiflexion after stroke: towards hybrid BCI for lower-limb rehabilitation39
End-to-end learning of safe stimulation parameters for cortical neuroprosthetic vision38
Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive brain–computer interfaces38
Source localization of simulated neural signals in a cervical spinal cord model38
Multiparametric non-linear TENS modulation to integrate intuitive sensory feedback38
Fascicles split or merge every ∼560 microns within the human cervical vagus nerve36
EEG foundation models: a critical review of current progress and future directions36
Stimulation-induced changes at the electrode–tissue interface and their influence on deep brain stimulation36
Performance of optically pumped magnetometer magnetoencephalography: validation in large samples and multiple tasks36
TRCA-Net: using TRCA filters to boost the SSVEP classification with convolutional neural network35
Neuromorphic applications in medicine35
A new attention-based 3D densely connected cross-stage-partial network for motor imagery classification in BCI35
Multi-feature computational framework for combined signatures of dementia in underrepresented settings35
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