IEEE Transactions on Cognitive Communications and Networking

Papers
(The H4-Index of IEEE Transactions on Cognitive Communications and Networking is 41. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
IEEE Communications Society Information183
Three-Dimensional Resource Matching for Internet of Things Underlaying Cognitive Capacity Harvesting Networks150
Security Outage Probability Analysis of Cognitive Networks With Multiple Eavesdroppers for Industrial Internet of Things116
Accurate Automatic Extraction of Signal Components From Noisy Radio Spectrograms113
A Deep Learning Method for Open-Set Transmission Mode Recognition Based on Multiresolution Time-Frequency Spectrograms100
A Reinforcement Learning-Assisted OFDM-IM Communication System against Reactive Jammers87
Adaptive DTN Routing: A Neuromorphic Networking Perspective83
Deep Learning-Aided Signal Detection for Two-Stage Index Modulated Universal Filtered Multi-Carrier Systems82
IEEE Communications Society Information81
Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search80
Coded Caching for Reliable Map Dissemination in Symbiotic Communication Aided Emergency UAV Systems80
Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks77
LINA: A Fair Link-Grained Inter-Datacenter Traffic Scheduling Method With Deadline Guarantee76
A Novel Privacy-Preserving Incentive Mechanism for Multi-Access Edge Computing69
Accelerating Federated Learning for Edge Intelligence Using Conjugated Central Acceleration With Inexact Global Line Search67
Energy Efficient Power Control for Cognitive Multibeam-Satellite Terrestrial Networks With Poisson Distributed Users64
pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning63
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach Using Empirical Data62
Performance Analysis of IoT-Based Overlay Satellite-Terrestrial Networks Under Interference60
Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication59
Priority-Aware Deployment of Autoscaling Service Function Chains Based on Deep Reinforcement Learning59
Ambient IoT: Backscatter-Based Connectivity Topologies and Outage Behavior59
Blockchain-Based Collaborative Task Offloading Algorithm in Heterogeneous Edge Computing Networks59
MADQN-Enhanced Computation Offloading and Resource Allocation for 6G Low-Altitude Economy Vehicular Networks58
Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning54
Precoding Optimization for MIMO-OFDM Integrated Sensing and Communication Systems53
Learning-Based Real-Time Transmission Control for Multi-Path TCP Networks52
Active Learning for Network Traffic Classification: A Technical Study52
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks51
IRS-Assisted Spectrum Sensing and Primary-Secondary Transmission for Cognitive Radio Networks50
Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting49
Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning48
IEEE Transactions on Cognitive Communications and Networking Publication Information47
A Reinforcement Learning-Based Incentive Scheme for Multi-Hop Communications in Vehicular Networks47
Secure Performance of RIS-Aided NOMA in Cognitive V2X Networks With Imperfect CSI Over Double Rayleigh Fading47
IEEE Communications Society45
Multi-Stage Semantic Communication for Low-Latency Edge Inference44
Multi-Layer Computation Offloading in Distributed Heterogeneous Mobile Edge Computing Networks44
Effective Non-Gaussian Noise Removal of 3D Radio Maps through Correntropy-based Nonlocal Tensor Ring Decomposition43
Dual Intelligence: Leveraging DRL with Smart Satellites to Counter Intelligent Jamming in Satellite Networks43
Learning to Predict: Collaborative Cloud-Edge Multi-Time-Scale Attention Model for Industrial Wireless Channel Prediction41
TMLAA for Automatic Harmonic Beam Steering Toward User-Defined Direction Using Black Hole Mechanics Optimization41
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