ACM Transactions on Autonomous and Adaptive Systems

Papers
(The TQCC of ACM Transactions on Autonomous and Adaptive Systems is 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Adaptive Preferences: Pivoting Through User Complaints34
Automate Legibility through Inverse Reinforcement Learning21
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks17
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes17
Deceiving LLM through Compositional Instruction with Hidden Attacks16
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?12
Assured Mission Adaptation of UAVs11
Modeling, Replicating, and Predicting Human Behavior: A Survey11
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles10
Piecewise Weighting Function for Collaborative Filtering Recommendation9
Self-Adaptive Testing in the Field9
Model Checking of Workflow Nets with Tables and Constraints7
A Framework for Simultaneous Task Allocation and Planning under Uncertainty6
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment6
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management6
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering5
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems5
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources5
Introduction to ACSOS 2022 Special Issue4
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation4
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction4
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach4
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society4
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments3
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications3
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments3
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems3
Prosocial Norm Emergence in Multi-agent Systems3
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV3
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement3
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task offloading in Connected Autonomous Vehicles3
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