Impact Factor
4.70
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
8.47
6,954 total citations
h5-index
79
h5 depth signal
Cited share
95.3%
809 of 849
Total citations
6,954
Citation footprint
Metric signal
6.52
External metric anchor
Self-citation
4.9%
342 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
China
1,453
United States
869
United Kingdom
255
Italy
193
Canada
184
Citing Fields of Research
Postural Control
2,140
Neurosciences
1,293
AI & Machine Learning
544
Robotics
387
Neurodegenerative Disorders
179
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
4,985
Articles tracked across the journal lifetime
Indexed publication set
849
809 cited publications
Last 12 months
439
43.9 publications/month
Open access share
99.3%
436 OA publications in the last year
Leading citing country
China
1,453 citing publications
Leading citing field
Postural Control
2,140 citing publications
Latest tracked publication
6 July 2026
10 recent records available
Coverage & Indexing History
v9n1, Mar. 2001-
v9n1, Mar. 2001-
Active Coverage
Research Focus & Classification
Indexed Subjects
Postural Control
Neurosciences
Issuing & Sponsoring Bodies
Contributor
IEEE Engineering in Medicine and Biology Society
Contributor
RESNA (Association)
Contributor
Institute of Electrical and Electronics Engineers
Broad Categories
Biomedical Engineering
Physical and Rehabilitation Medicine
Postural Control
Neurosciences
MeSH Descriptors
Biomedical Engineering
Electronics, Medical
Models, Neurological
Neural Networks, Computer
Rehabilitation
Self-Help Devices
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1109/tnsre.2026.3710242
Open DOI
Entropy-Based Graph Learning Framework for Cross-Subject Detection of Electrical Status Epilepticus During Sleep (ESES).
Electrical Status Epilepticus during Sleep (ESES) is a severe childhood epilepsy syndrome marked by sleep-induced and near-continuous epileptiform discharges, often leading to cognitive and behavioral impairments. Early and reliable dete...
02
DOI 10.1109/tnsre.2026.3709075
Open DOI
Transfer Learning with Simulated and Recorded Data Improves Predictions of Lateral Pinch Thumb-Tip Forces.
Machine learning is a powerful tool for modeling complex movements. However, the high cost of acquiring biomechanical data often limits observations and therefore the generalizability of machine learning models. Meanwhile, there is untap...
03
DOI 10.1109/tnsre.2026.3703399
Open DOI
Noise-Driven Feature Enhancement of High-Frequency SSVEP Through Underdamped Second-Order Stochastic Resonance Energy Transfer
Brain-computer interfaces (BCIs) system leveraging high-frequency steady-state visual evoked potentials (SSVEP) enhance user comfort, but their signals suffer from significant amplitude attenuation, which challenges precise detection. To...
04
DOI 10.1109/tnsre.2026.3703884
Open DOI
Self-Initialized Locomotion Mode Prediction with GPU-Free Terrain Reconstruction
Lower-limb wearable robots require accurate Locomotion Mode Prediction (LMP) to provide appropriate assistance across diverse terrains. Recent reconstructionbased LMP methods fuse high-dimensional multimodal sensor data to model the rela...
05
DOI 10.1109/tnsre.2026.3703988
Open DOI
Auditory Perception as a Surrogate for Auditory Imagery in EEG-Based BCI Training: Neural Evidence and a Feasibility Study
Brain-computer interface (BCI) systems are commonly classified as reactive or active. Reactive BCIs rely on responses to external stimuli, simplifying decoding but limiting direct user control. In contrast, active BCIs enable intuitive c...
06
DOI 10.1109/tnsre.2026.3703091
Open DOI
A Conversational Brain–Artificial Intelligence Interface
We introduce Brain-Artificial Intelligence Interfaces (BAIs) as a new class of Brain-Computer Interfaces (BCIs). Unlike conventional BCIs, which rely on intact cognitive capabilities, BAIs leverage the power of artificial intelligence to...
07
DOI 10.1109/tnsre.2026.3702885
Open DOI
Unilateral Ankle Exoskeleton Assistance Reshapes Gait: Temporal Parameters, Load Distribution, and Inter-Limb Symmetry
Wearable exoskeletons have shown efficacy in gait rehabilitation and locomotor enhancement. Despite much work on the physiological and biomechanical aspects of human–exoskeleton interaction, systematic investigations into how exoskeleton...
08
DOI 10.1109/tnsre.2026.3702721
Open DOI
An Unpowered Exoskeleton Enabling Cross-Limb Energy Transfer From Arm Swing to Assist Contralateral Ankle Plantarflexion
Unpowered exoskeletons commonly assist walking by storing and releasing elastic energy, with existing designs largely limited to energy transfer within the lower limbs. However, arm swing, an integral coupled component of human gait, rem...
09
DOI 10.1109/tnsre.2026.3702844
Open DOI
Localizing the Epileptogenic Zone Using SEEG-Based Excitation–Inhibition Dynamics and Spectral Features in Drug-Resistant Epilepsy: A Multicenter Retrospective Study
Drug-resistant epilepsy (DRE) affects millions of people worldwide and remains a major therapeutic challenge, largely due to the difficulty in precisely localizing the epileptogenic zone (EZ). Current electrophysiological biomarkers ofte...
10
DOI 10.1109/tnsre.2026.3702857
Open DOI
Multi-Day Muscle Fatigue Estimation During Dynamic Exercise Using sEMG E-Tattoo and BH-IEEMD Processing
Dynamic surface electromyography (sEMG)-based muscle fatigue assessment is often compromised by sensor instability, motion artifacts, and signal nonstationarity during dynamic exercise. Here, we integrate a noninvasive, skin-conformal e-...
Bibliographical & Catalog Notes
Title from cover.
Print issues ceased with v. 24 (2016).
Also issued online.
Co-sponsored by: RESNA.