IEEE Transactions on Automation Science and Engineering

Papers
(The H4-Index of IEEE Transactions on Automation Science and Engineering is 66. 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
Guest Editorial Special Issue on the 2022 International Conference on Automation Science and Engineering282
IEEE Robotics and Automation Society Information231
IEEE Transactions on Automation Science and Engineering Information for Authors214
Observer-Based Finite-Time Fuzzy Adaptive Resilient Control for Uncertain Nonlinear Systems Against Deception Attacks and Unknown Dead Zones203
Pseudo-Label Guided Multi-Task Learning for Abdominal Multi-Branch Vascular Segmentation From Partially Labeled DSA Datasets194
Two-Phase on-Line Joint Scheduling for Welfare Maximization of Charging Station153
Learning and Predicting Shape Deviations of Smooth and Non-Smooth 3D Geometries Through Mathematical Decomposition of Additive Manufacturing151
TEXterity: Tactile Extrinsic deXterity145
Bipartite Output Formation Tracking Control for Discrete-Time Singular Heterogenous Multi-Agent Systems134
Linear-Parameterization-Based Model Free Adaptive Predictive Control134
Multi-Objective Charging Optimization of Lithium-Ion Batteries Considering Electrical, Thermal, and Aging Behaviors Using Deep Reinforcement Learning134
Adaptive Prescribed-Time Target Capture Control for Marine Vehicles With Game-Based Navigation Risk Field132
Full-Body Pose Motion Tracking From Sparse Data via Morphology-Aware Constraints130
Performance Analysis of Bernoulli Serial Lines With Small Batch Production and Machine Switch On/Off Control127
Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem121
Hierarchical Optimization With Low-Carbon Economic Dispatch in Distribution Networks119
Addressing a Collaborative Maintenance Planning Using Multiple Operators by a Multi-Objective Metaheuristic Algorithm118
A Sensory Soft Robotic Gripper Capable of Learning-Based Object Recognition and Force-Controlled Grasping117
Cost-Driven Scheduling for Workflow Decision Making Systems in Fuzzy Edge-Cloud Environments115
Simulation Optimization Gantry Call-Back Control Method for Proton Therapy Systems113
Enabling Multiple Grasping Modes: A Retractable and Reconfigurable Robotic Gripper Inspired by Human Finger110
Hybrid C-LSTM Neural Architecture for Real-Time Adaptive Control of Fixed-Wing AAVs in Variable Turbulence Conditions109
Smart Actuation for End-Edge Industrial Control Systems106
Semi-Supervised Condition Monitoring and Visualization of Fused Magnesium Furnace105
GraspMixer: Hybrid of Contact Surface Sampling and Grasp Feature Mixing for Grasp Synthesis104
Head-Dominant Enhancement With Local Count for Better Human Detection in Crowds103
Data-Driven Precision Velocity Control for Maglev Car Systems via Error-Scheduled Model-Free Adaptive Control103
Dynamic Event-Triggered Sliding-Mode Bipartite Consensus for Multi-Agent Systems With Unknown Dynamics103
Online Credibility Assessment of Equipment Digital Twin for Discrete Manufacturing101
A Filter-Based Extended State Observer With Arbitrary Noise Suppression Ability and Its Application to Drag-Free Spacecraft System101
Intelligent Marine Survey: Lightweight Multi-Scale Attention Adaptive Segmentation Framework for Underwater Target Detection of AUV93
Machine Learning-Based Real-Time Walking Activity and Posture Estimation in Construction With a Single Wearable Inertial Measurement Unit89
Fault Location in Power Distribution Networks With Massive Missing Data: A Graph-Based Imputation and Contrastive Learning Approach88
Nonlinear Observer-Based Sliding Mode Control for Robot-Aided Bilateral Human-Compliant Rehabilitation Training of Upper Limb88
Accurate Finite-Time Motion Control of Hydraulic Actuators With Event-Triggered Input87
Direct Data-Driven Impulsive Control With Average Impulse Interval and Event-Triggered Mechanism86
Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning USV86
An Efficient Approach for Model-Checking Zeno Behaviors in Real-Time System Models Based on the Time Petri Net Formalism86
Integrating With Multimodal Information for Enhancing Robotic Grasping With Vision-Language Models84
Robotic Grasps of Cylindrical and Cubic Objects via Real-Time Learning-Based Shape Detection84
Power Modulation Enables Reduced Motor Power Requirement of Ankle Assistance Exosuit83
Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport83
Gradient Boosting-Based Predictive Uncertainty Estimation for Tabular Data Using Statistical Variance and Proper Scoring Rule83
Admittance-Based Output Feedback Fuzzy Switching Control for PAM-Driven Parallel Robots via Nonsingular Terminal Sliding Mode82
Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface82
Ride Comfort Improvement Through Preview Active Suspension Control With Speed Planning82
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring82
H-RSSG: High-Fidelity Robotic Surgical Scene Generation With Implicit Deformable Neural Radiance Field81
Active Fault Diagnosis for Uncertain LPV Systems: A Zonotopic Set-Membership Approach81
ECO: Energy-Constrained Optimization With Reinforcement Learning for Humanoid Walking78
Prediction of Contralateral Lower-Limb Joint Angles Using Vibroarthrography and Surface Electromyography Signals in Time-Series Network77
Error Reconstruction-Based Prescribed-Time Fault-Tolerant Control for QUAV77
Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment77
Active Fault Diagnosis for LPV Systems With Unknown Disturbances: A Two-Step-Based Set-Membership Observer Approach76
CLEAR-MP: Clearance Learning-Based Efficient Motion Planning for Dual-Arm Robots Under End-Effector Orientation Constraints76
From Edge to Edge: A Flow-Inspired Scheduling Planner for Multi-Robot Systems75
Koopman-Based Fractional Predefined-Time Control for Wearable Exoskeleton System74
Identifying the Working Conditions of Semisolid Metal Slagging Operations Under Strong Light Based on Gabor Feature and Multichannel PGAN73
Practical Finite-Time Contraction of Impulsive Systems With Application to Design of Impulsive Control for PFTC73
Lie Algebra-Based Probabilistic Shape Estimation of Flexible Continuum Robots From Sparse Pose Measurements72
A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications72
Transfer Learning-Based Deep Reinforcement Learning for Adaptive Control of Maglev Trains72
Hydrogen-Based Networked Microgrids Planning Through Two-Stage Stochastic Programming With Mixed-Integer Conic Recourse71
Synthesis of Deep Neural Networks With Safe Robust Adaptive Control for Reliable Operation of Wheeled Mobile Robots70
Trustworthy Traffic Sensors Networks via Fault-Tolerant Sensor Reconciliation Architectures68
Distributed Robust Adaptive Error Estimation for Heterogeneous Cyber-Physical Systems Over Time-Varying and Intermittent Pinning Communication66
Multivariate Alarm Monitoring for Non-Convex Normal Operating Zones Based on Search Cones66
GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles66
Hybrid Statistical-Machine Learning for Real-Time Anomaly Detection in Industrial Cyber–Physical Systems66
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis66
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