OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Mobile Computing is 69. 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 2021-11-01 to 2025-11-01.)

Article	Citations
An Adaptive Dual-Mode Task-Oriented Resource Management Strategy for GEO Relay Systems	412
Imitation Learning for Adaptive Video Streaming With Future Adversarial Information Bottleneck Principle	291
Adaptive Interference Alignment for Underwater Optical Wireless Sensor Networks	284
From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations	231
Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed Learning	202
Minimizing Age of Semantic Information for Analytics-Oriented Video Streaming Systems	198
Live Migration of Video Analytics Applications in Edge Computing	194
HT-FL: Hybrid Training Federated Learning for Heterogeneous Edge-Based IoT Networks	178
RoSeFi: A Robust Sedentary Behavior Monitoring System With Commodity WiFi Devices	177
Online Estimation and Adaptation for Random Access with Successive Interference Cancellation	175
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing	170
PTT: Piecewise Transformation Technique for Analyzing Numerical Data Under Local Differential Privacy	163
Energy-Efficient Overlay Protocol for BLE Beacon-Based Mesh Network	161
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures	153
Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff	142
Indirect-Communication Federated Learning via Mobile Transporters	141
A Power Saving Scheme for IEEE 802.15.3d THz Wireless Communication Links	139
ASTL: Accumulative STL With a Novel Robustness Metric for IoT Service Monitoring	122
Edge Assisted Mobile Semantic Visual SLAM	122
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices	121
Enabling Feedback-Free MIMO Transmission for FD-RAN: A Data-Driven Approach	120
Lyapunov-Guided Offloading Optimization Based on Soft Actor-Critic for ISAC-Aided Internet of Vehicles	116
Multi-Agent Deep Reinforcement Learning for Joint Decoupled User Association and Trajectory Design in Full-Duplex Multi-UAV Networks	115
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks	115
Comprehensive Cost Optimization for Charger Deployment in Multi-hop Wireless Charging	107

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control	103
Energy-Efficient Coordinated Beamforming in Multi-Pair MISO Networks With CDI and Eavesdroppers	103
Task-Oriented Semantic Communication in Large Multimodal Models-Based Vehicle Networks	102
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet	102
TraCemop: Toward Federated Learning With Traceable Contribution Evaluation and Model Ownership Protection	102
Task-Oriented Mulsemedia Communication Using Unified Perceiver and Conformal Prediction in 6G Wireless Systems	101
Minimizing Age of Usage Information for Capturing Freshness and Usability of Correlated Data in Edge Computing Enabled IoT Systems	96
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks	96
Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse	96
Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach	96
A Bayesian Approach to the Design of Backhauling Topology for 5G IAB Networks	94
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution	93
User-Echo Association and Perspective Selection With High-Resolution Range Profile for Integrated Sensing and Communication Networks	93
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches	91
Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge	88
A Nonlinearity-Based Secure Face-to-Face Device Authentication for Mobile Devices	88
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks	87
Flipping Free Conditions and Their Application in Sparse Network Localization	87
De-Anonymizing Avatars in Virtual Reality: Attacks and Countermeasures	87
Secure Localization for Underwater Wireless Sensor Networks via AUV Cooperative Beamforming With Reinforcement Learning	85
Multi-Task Diffusion Incentive Design for Mobile Crowdsourcing in Social Networks	84
Adaptive Stabilization Control by Deep Reinforcement Learning for Hovering Drone Surveillance	84
AFall: Wi-Fi-Based Device-Free Fall Detection System Using Spatial Angle of Arrival	83
Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection	80
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking	80
Energy-Efficient 3-D UAV Ground Node Accessing Using the Minimum Number of UAVs	80
Towards Risk-Averse Edge Computing With Deep Reinforcement Learning	79
A Trust Update Mechanism Based on Reinforcement Learning in Underwater Acoustic Sensor Networks	78
Collaborative Edge and Cloud Computing: Optimal Configuration and Computation Management	78
Reducing Transmission Cost of Distributed Principal Components Analysis in Wireless Networks With Accuracy Guaranteed	78
Achievable Rate Maximization for Multi-IRS Assisted AAV-NOMA Networks	77
MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack	77
FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA	76
Maximization of Value of Service for Mobile Collaborative Computing Through Situation-Aware Task Offloading	76
Adaptive Scheduling and Power Control for Multi-Objective Optimization in IEEE 802.15.6 Based Personalized Wireless Body Area Networks	75
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission	75
ESPD-LP: Edge Service Pre-Deployment Based on Location Prediction in MEC	75
DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks	74
Decentralized Inference With Graph Neural Networks in Wireless Communication Systems	74
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks	73
SemanAegis: toward Credential-Aware Semantic Communication against Knowledge Leakage Threats	71
Privacy-Preserving and Secure Distributed Data Sharing Scheme for VANETs	71
MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing	70
Fine-Grained Vibration Based Sensing Using a Smartphone	70