This journal is not listed in the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists. That does not make it unreliable, but check its indexing, peer review and fees carefully.
How to spot predatory journals →01Indexing
Indexing of Front. Neurosci
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | Not listed |
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
02What it publishes
What Front. Neurosci publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
03Published papers
Papers published in Front. Neurosci
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Neuroimaging evidence of acupuncture in cognitive impairment following ischemic stroke: a systematic review20260 citations
- An event-based opto-tactile skin20260 citations
- Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network20260 citations
- LLM-based feature selection and counterfactual explanations applied to functional connectivity analysis in schizophrenia20260 citations
- Sequential analysis and its applications to neuromorphic engineering20260 citations
- Astrocyte-Gated Multi-Timescale Plasticity for Online Continual Learning in Deep Spiking Neural Networks20260 citations
- Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration20250 citations
- Efficient spiking convolutional neural networks accelerator with multi-structure compatibility20250 citations
- A multi-domain graph convolutional network-based prediction model for personalized motor imagery action20250 citations
- Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable Q-factor wavelet coefficient mapping20250 citations
- Spatio-temporal dynamic functional brain network for mild cognitive impairment analysis20250 citations
- Deep learning in intracranial EEG for seizure detection: advances, challenges, and clinical applications20250 citations
- Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time20250 citations
- Spoken words affect visual object recognition via the modulation of alpha and beta oscillations20250 citations
- Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control20250 citations
- A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis20250 citations
- Enhancing the performance of neurosurgery medical question-answering systems using a multi-task knowledge graph-augmented answer generation model20250 citations
- Multimodal neurobehavioral integration in binocular color rivalry: cortical-eye movement analysis under color, location, and combined stimuli20250 citations
- Unraveling the complexity of cognitive impairment following high-altitude exposure: from preclinical animal models to human organoids20250 citations
- Exploring functional connectivity at different timescales with multivariate mode decomposition20250 citations
- Contribution of individual excitatory synapses on dendritic spines to electrical signaling20250 citations
- A novel fast detection algorithm for depression based on 3-channel EEG signals20250 citations
- A novel fluorescent probe, triphenylamine rhodamine-3-acetic acid (mRA) for the detection of Amyloid-β aggregates in Alzheimer's disease20250 citations
- Causal-aware reliability assessment of single-channel EEG for transformer-based sleep staging20250 citations
- Multiple entropy fusion predicts driver fatigue using forehead EEG20250 citations
- Radiation-induced white matter dysfunction in patients with nasopharyngeal carcinoma20250 citations
- TCPL: task-conditioned prompt learning for few-shot cross-subject motor imagery EEG decoding20250 citations
- A multimodal MRI framework employing machine learning for detecting beginning cognitive impairment in Parkinson's disease20250 citations
- PI-MMNet: a cross-modal neural network for predicting neurological deterioration in pontine infarction20250 citations
- TDE-3: an improved prior for optical flow computation in spiking neural networks20250 citations
- Interhemispheric EEG coherence as a candidate biomarker in gambling disorder: evidence of frontal hyperconnectivity and posterior disconnectivity20250 citations
- The brain-gut axis and chronic pain: mechanisms and therapeutic opportunities20250 citations
- Systematic review and meta-analysis of neurofeedback training efficacy and neural mechanisms in the treatment of posttraumatic stress disorder20250 citations
- Dynamic reconstruction of electroencephalogram data using RBF neural networks20250 citations
- RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition20250 citations
- Explainable AI for forensic speech authentication within cognitive and computational neuroscience20250 citations
- Factors affecting subjective cognitive decline: an automated machine learning approach20250 citations
- Disrupted theta oscillation propagation in healthy elderly individuals with apolipoprotein E epsilon 4 allele20250 citations
- Disrupting the browsing experience: impact of sponsored social media content on affective flow without driving engagement20250 citations
- Neural signatures of engagement in driving: comparing active control and passive observation20250 citations
- TFANet: a temporal fusion attention neural network for motor imagery decoding20250 citations
- The effects of polarization characteristics on visual fatigue: an empirical study based on subjective and objective indicators20250 citations
- Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data20250 citations
- LEM-UNet: an edge-guided network for 3D multimodal images segmentation in focal cortical dysplasia20250 citations
- A comparative study of EEG functional and effective connectivity patterns in children with learning difficulties during reading and math tasks20250 citations
- DEG-BRIN-GCN: interpretable graph convolutional framework with differentially expressed genes brain region interaction network prior for AD diagnosis20250 citations
- Neurocardiac signatures of acute mental stress: a sex-comparative study20250 citations
- Assessment of flight fatigue using heart rate variability and machine learning approaches20250 citations
- White matter microstructure in mid-to late adulthood is influenced by pathway-stratified polygenic risk for Alzheimer's disease20250 citations
- Relationship between regional relative theta power and amyloid deposition in mild cognitive impairment: an exploratory study20250 citations
- FX ENTRAIN: scientific context, study design, and biomarker driven brain-computer interfaces in neurodevelopmental conditions20250 citations
- Assessing consciousness in patients with locked-in syndrome using their EEG20250 citations
- A multi-view multimodal deep learning framework for Alzheimer's disease diagnosis20250 citations
- Computational insights into magnetoelectric nanoparticles for neural stimulation20250 citations
- Combination of spatial and temporal de-noising and artifact reduction techniques in multi-channel dry EEG20250 citations
- Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons20250 citations
- A hybrid Spiking Neural Network–Transformer architecture for motor imagery and sleep apnea detection20250 citations
- Altered gut microbial networks and metabolic pathways in multiple system atrophy: a comparative 16S rRNA study20250 citations
- Nucleus accumbens functional connectivity changes underlying alcohol expectancies in bipolar disorder and prospective alcohol outcomes: a within-subject …20250 citations
- Spiking neural networks for EEG signal analysis using wavelet transform20250 citations
- Advantages of human opsins in optogenetic visual restoration20250 citations
- A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation20250 citations
- … of different Mandarin pronunciation element perception: evidence based on a multifeature paradigm for recording MMN and P3a components of phonemic changes in …20240 citations
- Toward improving reproducibility in neuroimaging deep learning studies20240 citations
- Neural oscillation in bipolar disorder: a systematic review of resting-state electroencephalography studies20240 citations
- Role of stress and early-life stress in the pathogeny of inflammatory bowel disease20240 citations
- Target engagement of the subgenual anterior cingulate cortex with transcranial temporal interference stimulation in major depressive disorder: a protocol for a …20240 citations
- Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor20240 citations
- SpiNeRF: Direct-trained spiking neural networks for efficient neural radiance field rendering20230 citations
- Translational applications of neuroimaging20230 citations
- Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network20230 citations
- Optimization of transfer learning based on source sample selection in Euclidean space for P300-based brain-computer interfaces20230 citations
- Advances in computer vision: from deep learning models to practical applications20230 citations
- Aberrant white matter and subcortical gray matter functional network connectivity associated with static and dynamic characteristics in subjects with temporal lobe …20230 citations
- Graph neural network based on brain inspired forward-forward mechanism for motor imagery classification in brain-computer interfaces20230 citations
- Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface20230 citations
- New applications of biological and computational neural networks in brain imaging20230 citations
- Co-learning synaptic delays, weights and adaptation in spiking neural networks20230 citations
- Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations20230 citations
- Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis20230 citations
- Adaptive fuzzy control for tendon-sheath actuated bending-tip system with unknown friction for robotic flexible endoscope20230 citations
- Revealing brain connectivity: Graph embeddings for EEG representation learning and comparative analysis of structural and functional connectivity20230 citations
- Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances20230 citations
- Asymmetric white matter degeneration in amyotrophic lateral sclerosis: a diffusion kurtosis imaging study of motor and extra-motor pathways20230 citations
- Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks20230 citations
- Multi-perspective characterization of seizure prediction based on microstate analysis20230 citations
- Automatic brain quantification in children with unilateral cerebral palsy20230 citations
- Deep learning methods and applications in brain imaging for the diagnosis of neurological and psychiatric disorders20230 citations
- STAFNet: An adaptive multi-feature learning network via spatiotemporal fusion for EEG-based emotion recognition20230 citations
- Investigating the effect of template head models on Event-Related Potential source localization: a simulation and real-data study20230 citations
- Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance20230 citations
- Methods and applications of diffusion MRI tractometry20230 citations
- Dynamic networks differentiate the language ability of children with cochlear implants20230 citations
- A wearable group-synchronized EEG system for multi-subject brain–computer interfaces20230 citations
- Direct training high-performance deep spiking neural networks: a review of theories and methods20230 citations
- Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease20230 citations
- Music in the loop: a systematic review of current neurofeedback methodologies using music20230 citations
- Time-variant Granger causality analysis for intuitive perception collision risk in driving scenario: an EEG study20230 citations
- Three-stage hybrid spiking neural networks fine-tuning for speech enhancement20230 citations
- A data security scheme based on EEG characteristics for body area networks20230 citations
- Spatial (mis) match between eeg and fmri signal patterns revealed by spatio-spectral source-space eeg decomposition20230 citations
- Robust multi-task feature selection with counterfactual explanation for schizophrenia identification using functional brain networks20230 citations
- Current research and future development of neuropsychology20230 citations
- Application of multimodal imaging combined with artificial intelligence in eye diseases20230 citations
- A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models20230 citations
- On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives20230 citations
- MISNet: multi-source information-shared EEG emotion recognition network with two-stream structure20230 citations
- Automated detection of cervical spondylotic myelopathy: harnessing the power of natural language processing20230 citations
- Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection20230 citations
- Social influence in persuasion and negotiation: a hyperscanning EEG and autonomic measures study20230 citations
- Efficient human activity recognition with spatio-temporal spiking neural networks20230 citations
- Automatic epileptic seizure detection based on EEG using a moth-flame optimization of one-dimensional convolutional neural networks20230 citations
- Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease20230 citations
- SpyKing—Privacy-preserving framework for Spiking Neural Networks20230 citations
- UET175: EEG dataset of motor imagery tasks in Vietnamese stroke patients20230 citations
- Data leakage in deep learning studies of translational EEG20230 citations
- New insights into neurodevelopmental biology and autistic spectrum disorders20230 citations
- iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons20230 citations
- Advancing personalized diagnosis and treatment in Parkinson's disease: integrating biomarkers, neuroimaging, and artificial intelligence20230 citations
- Disruption of structural connectome hierarchy in age-related hearing loss20230 citations
- Domain adaptive deep possibilistic clustering for EEG-based emotion recognition20230 citations
- Spatial-temporal data-augmentation-based functional brain network analysis for brain disorders identification20230 citations
- Comprehensive analysis of supervised learning methods for electrical source imaging20230 citations
- Enhancing early Alzheimer's disease classification accuracy through the fusion of sMRI and rsMEG data: a deep learning approach20230 citations
- The application of neuroscience technology in human assist devices20230 citations
- SVM-enhanced attention mechanisms for motor imagery EEG classification in brain-computer interfaces20230 citations
- Partial maximum correntropy regression for robust electrocorticography decoding20230 citations
- Unlocking nerve regeneration: electrical stimulation and bioscaffolds to enhance peripheral nerve regeneration20230 citations
- Characterizing stage-dependent neuromotor patterns in Drosophila melanogaster larvae through a graph construction approach20230 citations
- Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review20230 citations
- An image caption model based on attention mechanism and deep reinforcement learning20230 citations
- Multi-feature fusion learning for Alzheimer's disease prediction using EEG signals in resting state20230 citations
- Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligence20230 citations
- Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers20230 citations
- Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support20230 citations
- Design and implementation of high sampling rate and multichannel wireless recorder for EEG monitoring and SSVEP response detection20230 citations
- Optical flow estimation from event-based cameras and spiking neural networks20230 citations
- A study on the combination of functional connection features and Riemannian manifold in EEG emotion recognition20230 citations
- Novel applications of Bayesian and other models in translational neuroscience20230 citations
- An effective fusion model for seizure prediction: GAMRNN20230 citations
- Application of advanced diffusion MRI based tractometry of the visual pathway in glaucoma: a systematic review20230 citations
- The PyMVPA BIDS-App: A robust multivariate pattern analysis pipeline for fMRI data20230 citations
- Multimodal fusion technologies and applications in the context of neuroscience20230 citations
- Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches20210 citations
- Datasets for brain-computer interface applications, volume II20210 citations
- Local and global convolutional transformer-based motor imagery EEG classification20200 citations
04Reviewer comments
Reviewer comments and rejection reasons for Front. Neurosci
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Front. Neurosci, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
05Similar journals
Journals similar to Front. Neurosci
Journals that publish the closest work to the papers above:
- Frontiers in NeuroscienceSCIEScopusJCR 202458 similar papers
- Frontiers in Computational NeuroscienceSCIEScopusJCR 202411 similar papers
- Frontiers in NeurologySCIEScopusJCR 20245 similar papers
- Frontiers in Aging NeuroscienceSCIEScopusJCR 20247 similar papers
- PLoS Computational BiologySCIEScopusJCR 202411 similar papers
- International Journal of Advanced Computer Science and ApplicationsESCIScopusJCR 20244 similar papers
06Journal Finder
Find the right journal for your paper
Is Front. Neurosci right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 164,212 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
07Questions
Frequently asked questions
Is Front. Neurosci indexed in Scopus?
Front. Neurosci is not listed in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Front. Neurosci an SCIE journal?
Front. Neurosci is not listed in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Front. Neurosci in Journal Citation Reports (JCR)?
Front. Neurosci is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does Front. Neurosci publish?
The papers published in Front. Neurosci that we track most often mention network, neural, learning, spiking, deep, brain. Check the journal’s aims and scope for its full coverage.
How many papers published in Front. Neurosci does ScholarsColab track?
We track 146 papers published in Front. Neurosci between 2020 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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