IEEE Transactions on Mobile Computing

Papers
(The H4-Index of IEEE Transactions on Mobile Computing is 67. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Comprehensive Cost Optimization for Charger Deployment in Multi-hop Wireless Charging386
Fine-Grained Vibration Based Sensing Using a Smartphone268
An Adaptive Dual-Mode Task-Oriented Resource Management Strategy for GEO Relay Systems267
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution214
Minimizing Age of Usage Information for Capturing Freshness and Usability of Correlated Data in Edge Computing Enabled IoT Systems197
Imitation Learning for Adaptive Video Streaming With Future Adversarial Information Bottleneck Principle193
A Power Saving Scheme for IEEE 802.15.3d THz Wireless Communication Links186
HT-FL: Hybrid Training Federated Learning for Heterogeneous Edge-Based IoT Networks183
RoSeFi: A Robust Sedentary Behavior Monitoring System With Commodity WiFi Devices173
ASTL: Accumulative STL With a Novel Robustness Metric for IoT Service Monitoring168
Online Estimation and Adaptation for Random Access with Successive Interference Cancellation167
Edge Assisted Mobile Semantic Visual SLAM163
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking158
Multi-Task Diffusion Incentive Design for Mobile Crowdsourcing in Social Networks153
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks152
Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse143
Adaptive Stabilization Control by Deep Reinforcement Learning for Hovering Drone Surveillance141
Secure Localization for Underwater Wireless Sensor Networks via AUV Cooperative Beamforming With Reinforcement Learning135
Achievable Rate Maximization for Multi-IRS Assisted UAV-NOMA Networks133
Reducing Transmission Cost of Distributed Principal Components Analysis in Wireless Networks with Accuracy Guaranteed132
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks114
De-Anonymizing Avatars in Virtual Reality: Attacks and Countermeasures112
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks112
Indirect-Communication Federated Learning via Mobile Transporters110
A Nonlinearity-Based Secure Face-to-Face Device Authentication for Mobile Devices107
Towards Risk-Averse Edge Computing With Deep Reinforcement Learning102
Flipping Free Conditions and Their Application in Sparse Network Localization100
Adaptive Scheduling and Power Control for Multi-Objective Optimization in IEEE 802.15.6 Based Personalized Wireless Body Area Networks100
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks98
MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack97
Adaptive Interference Alignment for Underwater Optical Wireless Sensor Networks96
Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach95
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet93
Minimizing Age of Semantic Information for Analytics-Oriented Video Streaming Systems93
Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge92
Task-Oriented Mulsemedia Communication Using Unified Perceiver and Conformal Prediction in 6 G Wireless Systems92
TraCemop: Towards Federated Learning with Traceable Contribution Evaluation and Model Ownership Protection90
Enabling Feedback-Free MIMO Transmission for FD-RAN: A Data-Driven Approach89
AFall: Wi-Fi-Based Device-Free Fall Detection System Using Spatial Angle of Arrival89
Energy-Efficient Coordinated Beamforming in Multi-Pair MISO Networks With CDI and Eavesdroppers86
Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach86
A Bayesian Approach to the Design of Backhauling Topology for 5G IAB Networks85
Decentralized Inference With Graph Neural Networks in Wireless Communication Systems82
Collaborative Edge and Cloud Computing: Optimal Configuration and Computation Management82
Live Migration of Video Analytics Applications in Edge Computing80
Time-Efficient Target Tags Information Collection in Large-Scale RFID Systems79
DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks79
PTT: Piecewise Transformation Technique for Analyzing Numerical Data Under Local Differential Privacy78
ESPD-LP: Edge Service Pre-Deployment Based on Location Prediction in MEC76
Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles75
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing75
Multi-Agent Deep Reinforcement Learning for Joint Decoupled User Association and Trajectory Design in Full-Duplex Multi-UAV Networks74
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices74
FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks74
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission73
Maximization of Value of Service for Mobile Collaborative Computing Through Situation-Aware Task Offloading73
A Trust Update Mechanism Based on Reinforcement Learning in Underwater Acoustic Sensor Networks72
From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations71
Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection71
Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed Learning71
Cross-FCL: Toward a Cross-Edge Federated Continual Learning Framework in Mobile Edge Computing Systems70
AirWrite: An Aerial Handwriting Trajectory Tracking and Recognition System With mmWave70
MVSTGN: A Multi-View Spatial-Temporal Graph Network for Cellular Traffic Prediction69
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks68
FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA68
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches67
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control67
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