OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Mobile Computing is 77. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Reducing Transmission Cost of Distributed Principal Components Analysis in Wireless Networks With Accuracy Guaranteed	502
Achievable Rate Maximization for Multi-IRS Assisted AAV-NOMA Networks	363
Indirect-Communication Federated Learning via Mobile Transporters	330
A Power Saving Scheme for IEEE 802.15.3d THz Wireless Communication Links	268
Multi-Agent Deep Reinforcement Learning for Joint Decoupled User Association and Trajectory Design in Full-Duplex Multi-UAV Networks	253
Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation	252
DMS: Throughput-Aware Distributed Multimodal Model Surgery on Embedded Devices	241
Patch Matter: Dual Modality Patch Contrastive for Non-Stationary Radio Signals	188
Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff	186
Towards Risk-Averse Edge Computing With Deep Reinforcement Learning	184
FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA	182
AirFogSim: A Light-Weight and Modular Simulator for UAV-Integrated Vehicular Fog Computing	178
SAPE: A Scalable Aggregation With Parallel Encoder for Federated Learning in VANETs	172
On-Demand Mixed-Timescale Scheduling for Sensing, Communication, Computation, and Control in Air-Ground Cooperative Perception	161
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing	161
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches	160
Energy Efficient Federated Learning Over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission	148
Fine-Grained Vibration Based Sensing Using a Smartphone	146
Live Migration of Video Analytics Applications in Edge Computing	142
Accelerating Federated Codistillation via Adaptive Computation Amount at Network Edge	141
Enabling Feedback-Free MIMO Transmission for FD-RAN: A Data-Driven Approach	140
Adversarial Bandit Learning Assisted Online Optimization for Digital Twin Placement and Update in End-Edge-Cloud Collaboration	136
Task-Oriented Semantic Communication in Large Multimodal Models-Based Vehicle Networks	136
A Bayesian Approach to the Design of Backhauling Topology for 5G IAB Networks	135
O-RAN xApps Conflict Prediction using Graph Convolutional Networks	135

Minimizing Age of Semantic Information for Analytics-Oriented Video Streaming Systems	134
HT-FL: Hybrid Training Federated Learning for Heterogeneous Edge-Based IoT Networks	132
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution	129
MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface	129
Dual-Level Resource Provisioning and Heterogeneous Auction for Mobile Metaverse	129
RoSeFi: A Robust Sedentary Behavior Monitoring System With Commodity WiFi Devices	127
Task-Oriented Mulsemedia Communication Using Unified Perceiver and Conformal Prediction in 6G Wireless Systems	127
ESPD-LP: Edge Service Pre-Deployment Based on Location Prediction in MEC	127
Semantic Communications With Computer Vision Sensing for Edge Video Transmission	124
MESON: A Mobility-Aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing	113
Multi-Task Diffusion Incentive Design for Mobile Crowdsourcing in Social Networks	112
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control	110
LEO-Split: A Semi-Supervised Split Learning Framework Over LEO Satellite Networks	109
Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection	107
Cross-FCL: Toward a Cross-Edge Federated Continual Learning Framework in Mobile Edge Computing Systems	107
Energy-Efficient 3-D UAV Ground Node Accessing Using the Minimum Number of UAVs	105
Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed Learning	105
FedSN: A Federated Learning Framework Over Heterogeneous LEO Satellite Networks	102
Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing	101
Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach	100
GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking	99
DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks	97
AFall: Wi-Fi-Based Device-Free Fall Detection System Using Spatial Angle of Arrival	97
Maximization of Value of Service for Mobile Collaborative Computing Through Situation-Aware Task Offloading	96
An Adaptive Dual-Mode Task-Oriented Resource Management Strategy for GEO Relay Systems	96
PTT: Piecewise Transformation Technique for Analyzing Numerical Data Under Local Differential Privacy	96
MTSFBet: A Hand-Gesture-Recognition-Based Identity Authentication Approach for Passive Keyless Entry Against Relay Attack	95
Energy-Efficient Overlay Protocol for BLE Beacon-Based Mesh Network	94
mmWave-Based Contactless BP Monitoring with Physio-Model-Guided Deep Learning	93
AdaCLP: Efficient Federated Learning for Asynchronous Mobile Devices with Temporally Imbalanced Data	93
Collaborative Edge and Cloud Computing: Optimal Configuration and Computation Management	92
A Deterministic-Latency MAC Protocol for Future Automotive Ethernet	92
Minimizing Age of Usage Information for Capturing Freshness and Usability of Correlated Data in Edge Computing Enabled IoT Systems	92
Adaptive Interference Alignment for Underwater Optical Wireless Sensor Networks	91
MVSTGN: A Multi-View Spatial-Temporal Graph Network for Cellular Traffic Prediction	90
AirWrite: An Aerial Handwriting Trajectory Tracking and Recognition System With mmWave	90
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks	88
Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach	86
TraCemop: Toward Federated Learning With Traceable Contribution Evaluation and Model Ownership Protection	86
Argus: 3D Radar Point Cloud Registration Using Complementary Cameras for Infrastructure-Assisted Autonomous Driving	86
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures	86
Secure Localization for Underwater Wireless Sensor Networks via AUV Cooperative Beamforming With Reinforcement Learning	85
Comprehensive Cost Optimization for Charger Deployment in Multi-hop Wireless Charging	83
Understanding Large Language Models in Your Pockets: Performance Study on COTS Mobile Devices	82
Adaptive Stabilization Control by Deep Reinforcement Learning for Hovering Drone Surveillance	81
From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations	81
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks	80
ASTL: Accumulative STL With a Novel Robustness Metric for IoT Service Monitoring	79
Automatic Phase Calibration for High-Resolution Mmwave Sensing Via Ambient Radio Anchors	78
Privacy-Preserving and Secure Distributed Data Sharing Scheme for VANETs	78

Energy-Efficient Coordinated Beamforming in Multi-Pair MISO Networks With CDI and Eavesdroppers	77
User-Echo Association and Perspective Selection With High-Resolution Range Profile for Integrated Sensing and Communication Networks	77