IEEE Transactions on Automation Science and Engineering

Papers
(The H4-Index of IEEE Transactions on Automation Science and Engineering is 54. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Order Assignment and Scheduling for Personal Protective Equipment Production During the Outbreak of Epidemics165
An Efficient Approach for Model-Checking Zeno Behaviors in Real-Time System Models Based on the Time Petri Net Formalism154
Simulation Optimization Gantry Call-Back Control Method for Proton Therapy Systems153
One-Shot Domain-Adaptive Imitation Learning via Progressive Learning Applied to Robotic Pouring147
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring145
Optimal Control of Biomass Feedstock Processing System Under Uncertainty in Biomass Quality142
Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion131
Identifying the Working Conditions of Semisolid Metal Slagging Operations Under Strong Light Based on Gabor Feature and Multichannel PGAN124
Trustworthy Traffic Sensors Networks via Fault-Tolerant Sensor Reconciliation Architectures123
Robust and Accurate Nonrigid Point Set Registration Algorithm to Accommodate Anisotropic Positional Localization Error Based on Coherent Point Drift117
Guest Editorial Special Issue on the 2022 International Conference on Automation Science and Engineering116
Automatic Identification of Individual African Leopards in Unlabeled Camera Trap Images114
Active Fault Diagnosis for Uncertain LPV Systems: A Zonotopic Set-Membership Approach101
Dynamic Event-Triggered Sliding-Mode Bipartite Consensus for Multi-Agent Systems With Unknown Dynamics101
Adaptive Dynamic Event-Triggered Asymptotic Tracking Control for Strict-Feedback Nonlinear Systems With a Self-Adjusting Performance Function96
A Probabilistic Quality-Relevant Monitoring Method With Gaussian Mixture Model96
Observer-Based Finite-Time Fuzzy Adaptive Resilient Control for Uncertain Nonlinear Systems Against Deception Attacks and Unknown Dead Zones96
Intelligent Marine Survey: Lightweight Multi-Scale Attention Adaptive Segmentation Framework for Underwater Target Detection of AUV96
H-RSSG: High-fidelity Robotic Surgical Scene Generation with Implicit Deformable Neural Radiance Field92
Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment89
IEEE Transactions on Automation Science and Engineering Information for Authors88
IEEE Robotics and Automation Society Information78
An Intelligent Multi-Layer Control Architecture for Logistics Operations of Autonomous Vehicles in Manufacturing Systems77
A Distributed ADMM-Based Deep Learning Approach for Thermal Control in Multi-Zone Buildings Under Demand Response Events77
AB&B: An Anytime Branch and Bound Algorithm for Scheduling of Deadlock-Prone Flexible Manufacturing Systems76
Jointed Observer-Based Sliding Mode Predictive Control for Interconnected Power Systems With Input Delays74
GraspMixer: Hybrid of Contact Surface Sampling and Grasp Feature Mixing for Grasp Synthesis72
Human-in-the-Loop Robot Learning for Smart Manufacturing: A Human-Centric Perspective72
Q-Learning-Based Model Predictive Control for Energy Management in Residential Aggregator72
Smart Actuation for End-Edge Industrial Control Systems71
Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem71
A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery70
Semi-Supervised Condition Monitoring and Visualization of Fused Magnesium Furnace69
Addressing a Collaborative Maintenance Planning Using Multiple Operators by a Multi-Objective Metaheuristic Algorithm67
ILC-Based Tracking Control for Linear Systems With External Disturbances via an SMC Scheme65
Robotic Grasps of Cylindrical and Cubic Objects via Real-Time Learning-Based Shape Detection65
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis65
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application64
Safe Learning-Based Control for Multiple UAVs Under Uncertain Disturbances64
A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications63
Power Modulation Enables Reduced Motor Power Requirement of Ankle Assistance Exosuit63
Head-Dominant Enhancement With Local Count for Better Human Detection in Crowds63
Active Disturbance Rejection Predefined-Time Consensus Tracking for Nonlinear Multiagent Systems via Self-Triggered Communication61
Nonlinear Observer-Based Sliding Mode Control for Robot-Aided Bilateral Human-Compliant Rehabilitation Training of Upper Limb61
Cost-Driven Scheduling for Workflow Decision Making Systems in Fuzzy Edge-Cloud Environments61
Collaborative Preoperative Planning for Operation-Navigation Dual-Robot Orthopedic Surgery System58
Effective Probabilistic Neural Networks Model for Model-Based Reinforcement Learning USV57
A Discrimination-Guided Active Learning Method Based on Marginal Representations for Industrial Compound Fault Diagnosis57
Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface57
Scoring and Dynamic Hierarchy-Based NSGA-II for Multiobjective Workflow Scheduling in the Cloud56
Dynamic Optimization of Conflict-Free Routing of Automated Guided Vehicles for Just-in-Time Delivery56
GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles54
Integrating With Multimodal Information for Enhancing Robotic Grasping With Vision-Language Models54
Attack-Resistant Sliding Mode Control for Markov Jump Systems With Redundant Channels: A Novel Two-Layer Mapping approach54
A Sensory Soft Robotic Gripper Capable of Learning-Based Object Recognition and Force-Controlled Grasping54
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