Frontiers in Neurorobotics

Papers
(The H4-Index of Frontiers in Neurorobotics is 30. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control126
Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits118
Editorial: Deformable object manipulation114
A multi-scale robotic tool grasping method for robot state segmentation masks91
Critical review on the relationship between design variables and performance of dexterous hands: a quantitative analysis85
Monocular catadioptric panoramic depth estimation via improved end-to-end neural network model63
Development and Electromyographic Validation of a Compliant Human-Robot Interaction Controller for Cooperative and Personalized Neurorehabilitation58
An improved graph factorization machine based on solving unbalanced game perception58
Editorial: Cognitive inspired aspects of robot learning50
Improving the Robustness of Human-Machine Interactive Control for Myoelectric Prosthetic Hand During Arm Position Changing49
4D trajectory lightweight prediction algorithm based on knowledge distillation technique48
Design of a SMA-based soft composite structure for wearable rehabilitation gloves48
Vehicle recognition pipeline via DeepSort on aerial image datasets48
Location estimation based on feature mode matching with deep network models46
Linking Multi-Layer Dynamical GCN With Style-Based Recalibration CNN for EEG-Based Emotion Recognition41
Exploring the effects of serial and parallel elasticity on a hopping robot41
Green Supply Chain Optimization Based on BP Neural Network39
Multimodal robotic music performance art based on GRU-GoogLeNet model fusing audiovisual perception38
Semiactive Knee Orthotic Using a MR Damper and a Smart Insole to Control the Damping Force Sensing the Plantar Pressure36
3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal35
DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model35
Deep learning-based framework for real-time upper limb motion intention classification using combined bio-signals34
Editorial: Neuromorphic engineering for robotics33
Gradient adaptive sampling and multiple temporal scale 3D CNNs for tactile object recognition33
Editorial: Novel methods in embodied and enactive AI and cognition33
Dynamic Video Image Segmentation Based on Dual Channel Convolutional Kernel and Multi-Frame Feature Fusion33
Intuitive and versatile bionic legs: a perspective on volitional control32
Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit31
Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network30
A simple robot suggests trunk rotation is essential for emergence of inside leading limb during quadruped galloping turns30
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