ACM Transactions on Autonomous and Adaptive Systems

Papers
(The TQCC of ACM Transactions on Autonomous and Adaptive Systems is 5. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes76
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.071
Automate Legibility through Inverse Reinforcement Learning56
Adaptive Preferences: Pivoting Through User Complaints40
Human-Autonomous System Interaction Graphical Notation (HASIGN): How Do We Design for Human-Multi-AGV Interaction in Manufacturing Intralogistics?31
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution31
Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems28
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems22
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks21
Deceiving LLM through Compositional Instruction with Hidden Attacks19
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing18
Modeling, Replicating, and Predicting Human Behavior: A Survey16
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles14
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?14
Who’s Who? LLM-assisted Software Traceability with Architecture Entity Recognition13
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management13
A Framework for Simultaneous Task Allocation and Planning under Uncertainty12
Model Checking of Workflow Nets with Tables and Constraints11
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing11
Self-Adaptive Testing in the Field9
Piecewise Weighting Function for Collaborative Filtering Recommendation9
Autonomic Resource Harvesting in HPC: Control Methods and Their Reusability9
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering8
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment8
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems8
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation7
STDiff: Anomaly Detection over Multivariate Time Series in Autonomous Systems for Industry 5.0 via Spatio-Temporal Learning and Diffusion Generation7
Introduction to ACSOS 2022 Special Issue7
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources7
Context-Aware Proactive Self-Adaptation: A Two-Layer Model Predictive Control Approach7
LLM-based UAV Path Planning for Autonomous and Adaptive Industry Systems7
Introduction to the SEAMS 2024 Special Issue7
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction6
Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions6
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society6
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments6
Efficient Resource Allocation for DRL-NOMA Enabled TSIN in Industry 5.05
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles5
RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method5
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