Impact Factor
4.05
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
7.06
1,064 total citations
h5-index
40
h5 depth signal
Cited share
89.7%
139 of 155
Total citations
1,064
Citation footprint
Metric signal
6.21
External metric anchor
Self-citation
28.7%
305 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
303
Spain
147
United States
89
United Kingdom
89
Italy
79
Citing Fields of Research
Neurosciences
356
AI & Machine Learning
319
Brain Neurological Disorders
152
Differential Equations
124
Computer Vision & Graphics
103
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
1,936
Articles tracked across the journal lifetime
Indexed publication set
155
139 cited publications
Last 12 months
101
8.4 publications/month
Open access share
3.0%
3 OA publications in the last year
Leading citing country
China
303 citing publications
Leading citing field
Neurosciences
356 citing publications
Latest tracked publication
30 December 2026
10 recent records available
Coverage & Indexing History
v4n1, 1993-
v4n1, 1993-
Active Coverage
Research Focus & Classification
Indexed Subjects
Neurosciences
AI & Machine Learning
Computer Vision & Graphics
Brain Neurological Disorders
Broad Categories
Biomedical Engineering
Medical Informatics
Neurosciences
Differential Equations
Computer Vision & Graphics
Postural Control
Brain Neurological Disorders
MeSH Descriptors
Brain
Computer Simulation
Models, Theoretical
Nerve Net
Neurons
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1142/s0129065726990017
Open DOI
Author Index Volume 36 (2026)
02
DOI 10.1142/s0129065727500286
Open DOI
Local–Global Spherical Sliced Wasserstein Graph Kernel for Schizophrenia Identification
Accurate identification of schizophrenia (SZ) using functional connectivity (FC) is fundamentally challenged by the non-Euclidean geometry of neuroimaging data and information loss from arbitrary graph thresholding. To overcome these bot...
03
DOI 10.1142/s0129065727500134
Open DOI
Functional Connectivity Among Prefrontal, Hippocampal, and Temporal Systems Supporting Conceptual Change in Science Learning
Scientific conceptual change poses a cognitive challenge in science learning, requiring cognitive conflict resolution and restructuring of entrenched semantic knowledge. Although neuroscience implicates coordinated prefrontal cognitive c...
04
DOI 10.1142/s0129065727500249
Open DOI
Prototype-Guided Test-Time Adaptation for Real-Time EMG-Based Gesture Recognition
Surface electromyography (sEMG) signals facilitate intuitive human–machine interaction and are widely employed in applications such as prosthetics and rehabilitation. However, sEMG signal distributions are highly sensitive to variations ...
05
DOI 10.1142/s0129065727500274
Open DOI
A Dual-Loop Task-Orthogonal Framework for Sequential Multitask Learning in Echo State Networks
Sequential multitask learning is a major problem for Echo State Networks (ESNs) because of catastrophic forgetting and interference between the tasks. To solve this, a Dual-Loop Task-Orthogonal Framework of Echo State Networks (DLTOF-ESN...
06
DOI 10.1142/s012906572750033x
Open DOI
Circuit Topology Shapes the Mapping between Excitatory-Inhibitory Input Composition and Aperiodic Spectral Slope
Aperiodic ([Formula: see text]) spectral components are widely interpreted as markers of excitation–inhibition (E/I) balance, but this interpretation spans levels from synaptic currents and microcircuit spiking to population field potent...
07
DOI 10.1142/s0129065727500250
Open DOI
A Multimodal Distillation Framework for Sound-Based Sleep Quality Assessment
Sleep is essential for health, yet polysomnography (PSG), the clinical gold standard for comprehensive sleep assessment, is intrusive and impractical for routine use. Sleep sounds offer a nonintrusive alternative, but acoustic signals al...
08
DOI 10.1142/s0129065727500225
Open DOI
Exploiting Phase-Sliding Oscillations for Robust Asynchronous Brain–Computer Interface Control
Asynchronous steady-state visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) show great potential for real-world control, yet their performance is often impaired by phase shifts between ongoing electroencephalogram (E...
09
DOI 10.1142/s0129065727500328
Open DOI
Eeg-Based Cognitive Overload-Driven Adaptive Training for Enhancing Performance under Simulated High-Stress Space Operation Tasks
Given the potential for highly complex and high-risk space operation tasks to induce cognitive overload in operators, effective training is crucial for maintaining mission performance and safety. Conventional adaptive training often stru...
10
DOI 10.1142/s0129065727500316
Open DOI
Channel-Adaptive Temporal Modeling with Grouped Convolutional Network and Informer for Seizure Detection and Prediction
Reliable identification and early prediction of epileptic seizures play a critical role in improving patient outcomes and supporting timely therapeutic decision-making. To address the challenges of spatiotemporal feature coupling and lon...
Bibliographical & Catalog Notes
Also issued online.