IEEE Transactions on Mobile Computing

Papers
(The H4-Index of IEEE Transactions on Mobile Computing is 61. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
SnapCFL: A Pre-clustering-based Clustered Federated Learning Framework for Data and System Heterogeneities322
Enabling Ultralow-Latency Services with Ubiquitous Mobility by Means of a Compact Network Architecture254
MADRL-Based Model Partitioning, Aggregation Control, and Resource Allocation for Cloud-Edge-Device Collaborative Split Federated Learning223
Towards Understanding the Impact of Participant and its Wearable Devices in Federated Learning203
Distributed MAC for RIS-Assisted Multiuser Networks: CSMA/CA Protocol Design and Statistical Optimization189
ESPD-LP: Edge Service Pre-Deployment Based on Location Prediction in MEC173
Multi-Agent Reinforcement Learning for Task Offloading in Crowd-Edge Computing166
AdapLDP-FL: An Adaptive Local Differential Privacy for Federated Learning163
Continual Reinforcement Learning for Digital Twin Synchronization Optimization159
A Bargaining Approach for Service Placement in Multi-Access Edge Computing with Information Asymmetries159
Enhanced VR Experience with Edge Computing: The Impact of Decoding Latency148
Vehicle-Assisted Service Caching for Task Offloading in Vehicular Edge Computing148
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation143
Individualized Data Generation in Personalized Federated Learning141
An AI-assisted All-in-one Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor with an On-board Executable Lightweight Model134
Adaptive Stabilization Control by Deep Reinforcement Learning for Hovering Drone Surveillance131
Trust Online Over-the-air Computation for Wireless Federated Learning131
CSTAR-FL: Stochastic Client Selection for Tree All-Reduce Federated Learning129
Optimization of Models and Strategies for Computation Offloading in the Internet of Vehicles: Efficiency and Trust125
To Optimize Human-in-the-Loop Learning in Repeated Routing Games123
Blockchain-Enabled Multiple Sensitive Task-Offloading Mechanism for MEC Applications118
A Collaborative Error Detection and Correction Scheme for Safety Message in V2X118
HT-FL: Hybrid Training Federated Learning for Heterogeneous Edge-Based IoT Networks118
LBDT: A Lightweight Blockchain-Based Data Trading Scheme in Internet of Vehicles Using Proof-of-Reputation110
Latency-Energy Efficient Task Offloading in the Satellite Network-Assisted Edge Computing via Deep Reinforcement Learning107
Co-Sense: Exploiting Cooperative Dark Pixels in Radio Sensing for Non-Stationary Target103
Similarity Caching in Dynamic Cooperative Edge Networks: An Adversarial Bandit Approach100
AMRE: Adaptive Multilevel Redundancy Elimination for Multimodal Mobile Inference96
A Misreport- and Collusion-Proof Crowdsourcing Mechanism Without Quality Verification94
Tensor-Based Confident Information Coverage Reliability of Hybrid Internet of Things87
FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks87
Reducing Traffic Wastage in Video Streaming via Bandwidth-Efficient Bitrate Adaptation87
Cross-FCL: Toward a Cross-Edge Federated Continual Learning Framework in Mobile Edge Computing Systems86
SocialRecruiter: Dynamic Incentive Mechanism for Mobile Crowdsourcing Worker Recruitment With Social Networks86
Delay-Aware Cooperative Task Offloading for Multi-UAV Enabled Edge-Cloud Computing84
Underwater Ultrasonic Wireless Power Transfer: A Battery-Less Platform for the Internet of Underwater Things83
Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing82
A Queueing Game Based Management Framework for Fog Computing With Strategic Computing Speed Control82
DRL Connects Lyapunov in Delay and Stability Optimization for Offloading Proactive Sensing Tasks of RSUs80
Task Offloading via Prioritized Experience-Based Double Dueling DQN in Edge-Assisted IIoT80
Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks With Imperfect Channels79
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks79
SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks78
Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge76
Survey, Design and Evaluation of TGT-HC: A Time-Aware Shaper MAC for Wireless TSN75
Federated Deep Reinforcement Learning for ENDC optimization74
Sequential Privacy Budget Recycling for Federated Vector Mean Estimation: A Game-Theoretic Approach73
MLiquID: Towards Mobile Liquid Sensing with COTS RFIDs73
Underwater Target Tracking Based on Interrupted Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Time-Saving MARL Approach72
Heterogeneity-Aware Cooperative Federated Edge Learning With Adaptive Computation and Communication Compression71
2024 Reviewers List71
Travel Demand Modeling and Estimation for High-Dimensional Mobility70
HandKey: Knocking-Triggered Robust Vibration Signature for Keyless Unlocking66
Joint Task Offloading, Resource Allocation, and Trajectory Design for Multi-UAV Cooperative Edge Computing With Task Priority66
Catch Your Breath: Simultaneous RF Tracking and Respiration Monitoring with Radar Pairs65
MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing64
SoilTAG: Fine-Grained Soil Moisture Sensing Through Chipless Tags64
Memory-Augmented Autoencoder Based Continuous Authentication on Smartphones With Conditional Transformer GANs63
Securing O-RAN Open Interfaces62
Dynamic Human Digital Twin Deployment at the Edge for Task Execution: A Two-Timescale Accuracy-Aware Online Optimization61
Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation61
A Triple Real-Time Trajectory Privacy Protection Mechanism Based on Edge Computing and Blockchain in Mobile Crowdsourcing61
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