OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Mobile Computing is 58. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks	646
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach	229
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments	215
Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing	187
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems	185
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning	174
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services	145
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks	139
FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring	136
An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks	128
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing	125
Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing	124
Scheduling Algorithms for Minimizing Age of Information in Wireless Broadcast Networks with Random Arrivals	119
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks	116
Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks	115
Toward an Automated Auction Framework for Wireless Federated Learning Services Market	114
Edge-Enabled V2X Service Placement for Intelligent Transportation Systems	112
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks	109
Learning-Aided Computation Offloading for Trusted Collaborative Mobile Edge Computing	102
LeaD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics	99
Blockchain-Enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework	98
Optimal Application Deployment in Resource Constrained Distributed Edges	97
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach	96
Continuous Authentication Through Finger Gesture Interaction for Smart Homes Using WiFi	96
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-Assisted Mobile Edge Computing	95

Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments	95
A High-Availability Data Collection Scheme based on Multi-AUVs for Underwater Sensor Networks	94
An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing	94
Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET	94
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization	90
Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing	86
Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices	85
Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds	83
SMARS: Sleep Monitoring via Ambient Radio Signals	82
TCDA: Truthful Combinatorial Double Auctions for Mobile Edge Computing in Industrial Internet of Things	81
Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem	80
QoE-Aware Efficient Content Distribution Scheme For Satellite-Terrestrial Networks	78
Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing	78
Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach	78
PACE: Privacy-Preserving and Quality-Aware Incentive Mechanism for Mobile Crowdsensing	77
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training With Non-IID Private Data	75
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning	74
Accurate Localization of Tagged Objects Using Mobile RFID-Augmented Robots	71
Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities	71
Data Offloading in UAV-Assisted Multi-Access Edge Computing Systems Under Resource Uncertainty	69
Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing	68
Reliability-Optimal Cooperative Communication and Computing in Connected Vehicle Systems	67
Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals	65
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks	65
To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage	64
Reinforcement Learning-Based Collision Avoidance and Optimal Trajectory Planning in UAV Communication Networks	62
Multi-Task Allocation Under Time Constraints in Mobile Crowdsensing	62
Leveraging UAVs for Coverage in Cell-Free Vehicular Networks: A Deep Reinforcement Learning Approach	61
ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks	61
Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach	60
Delay-Sensitive Multi-Period Computation Offloading with Reliability Guarantees in Fog Networks	60
PROTECT: Efficient Password-Based Threshold Single-Sign-On Authentication for Mobile Users against Perpetual Leakage	60
ViFi: Virtual Fingerprinting WiFi-Based Indoor Positioning via Multi-Wall Multi-Floor Propagation Model	58
Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs	58