IEEE Transactions on Signal and Information Processing Over Networks

Papers
(The median citation count of IEEE Transactions on Signal and Information Processing Over Networks is 2. 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.)
ArticleCitations
Multivariate Time Series Forecasting With GARCH Models on Graphs112
Score-Based Variational Modeling for Spatiotemporal Forecasting57
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks47
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model40
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent40
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm39
Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication35
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances32
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning32
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis31
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks28
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design27
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries27
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing24
Decentralized Federated Learning: Balancing Communication and Computing Costs22
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks22
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach22
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss22
Security Dissipative Fuzzy Filtering for Networked Nonlinear Systems With Stochastic Cyber-Attacks22
IEEE SIGNAL PROCESSING SOCIETY21
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise21
Estimation of Relative Kinematic Parameters of an Anchorless Network20
Discrete-Time Controllability of Cartesian Product Networks20
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression19
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks18
Exploiting the Structure of Two Graphs With Graph Neural Networks18
Online Reinforcement Learning for Model-Free Secure Formation Control Under DoS Attacks18
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach18
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering17
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method17
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation16
Online Auditing of Information Flow16
Operator Analysis-Based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs With Self-Learning Input Sharing Under Antagonistic Networks15
Hierarchical Learning in Distributed Online Markov Games via Partial Cooperation15
The Graph Fractional Fourier Transform in Hilbert Space15
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism15
Deep Reinforcement Learning Based Transmission Scheduling for Sensing and Control Coordination15
Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications14
Edge-Triggered Leader–Follower Consensus of Multiple Spacecraft Systems With Unknown Disturbances14
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems14
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information13
Diffusion Generalized Kernel Maximum Correntropy Criterion Algorithm With Variable Center: Establishment and Performance Analysis13
Inferring Hidden Structures in Random Graphs13
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework13
A Closed-Form Solution for Graph Signal Separation Based on Smoothness13
Resampling and Network Theory13
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms12
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays12
Fixed-Time Synchronization of Leaderless and Leader-Following Multi-Agent Networks With Delayed Impulses12
Quantized Distributed Estimation With Adaptive Combiner12
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates12
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks12
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay11
Adaptive Joint Estimation of Temporal Vertex and Edge Signals11
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks11
Graph Receptive Transformer Encoder for Text Classification11
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol11
Distributed Training of Large Graph Neural Networks With Variable Communication Rates11
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation11
A Graph-Assisted Framework for Multiple Graph Learning11
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers11
Variance-Constrained Distributed Filtering Under Limited Bit Rates for Time-Varying Systems11
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies10
GGAT: Gravitation-Based Graph Attention Networks10
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays10
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters10
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs9
Generalized Simplicial Attention Neural Networks9
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks9
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks9
Bipartite Graph Approximation by Eigenvalue Optimization9
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing9
BDoG-Net: Algorithm Unrolling for Blind Deconvolution on Graphs9
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games8
Staleness Analysis in Asynchronous Optimization8
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises8
Data Representation via Attribute Selection- Propagation Neural Network8
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks8
Secure Observer-Based $H_{\infty }$ Synchronization for Singularly Perturbed Multiweighted Complex Networks With Stochastic Communication Protocol8
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework8
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems8
Joint Statistical Mask Learning and Distributed Estimation Without Support Priors8
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks7
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness7
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective7
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications7
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent7
SecDT: Privacy-Preserving Outsourced Decision Tree Classification Without Polynomial Forms in Edge-Cloud Computing7
Distributed Optimization of Heterogeneous Linear Multi-Agent Systems With Unknown Disturbances and Optimal Gain Tuning7
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph7
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation7
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks6
Distributed Optimization Algorithm for the Economic Dispatch Problem Over Delayed Communication Network6
Online Smooth Graph Learning From Incomplete Data6
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs6
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions6
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach6
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets6
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks6
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM6
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics6
State Estimation for Discrete-Time Complex Networks With Time-Varying Outer Coupling and Uncertain Inner Coupling: A Distributed Method6
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks6
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks6
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality6
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow6
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications5
Robust Online Modeling of Counts in Agent Networks5
Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints5
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers5
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network5
Unifying Epidemic Models With Mixtures5
Multi-Rate Sampled-Data Secure Fusion Estimation Against Malicious Hybrid Attacks5
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing5
An ADMM-Based Approach to Quadratically-Regularized Distributed Optimal Transport on Graphs5
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks5
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data5
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities5
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty5
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets5
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference5
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis5
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search4
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization4
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations4
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals4
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals4
Stability of Aggregation Graph Neural Networks4
Byzantine-Robust Distributed Learning With Compression4
Adaptive Event-Triggered Output Synchronization of Heterogeneous Multiagent Systems: A Model-Free Reinforcement Learning Approach4
Resilient Distributed Optimization Algorithm With Fixed Step Size Against Malicious Attacks4
IEEE Signal Processing Society Information4
Permutation Entropy for Graph Signals4
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem4
Fair Contrastive Learning on Graphs4
Strong Convergence of a Random Actions Model in Opinion Dynamics4
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System4
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables4
Geometric Methods for Resilient Aggregation and Safe Point Computation in Adversarial Multiagent Networks With Imprecise Data4
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space4
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks4
Graph Distributional Signals for Regularization in Graph Neural Networks3
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence3
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals3
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content3
Communication-Efficient and Privacy-Aware Distributed Learning3
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks3
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol3
Dynamic Event-Triggering Resilient Coordination for Time-Varying Heterogeneous Networks3
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals3
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay3
CoRNI: A Co-Evolutionary Framework Integrating Reputation and Network Structure for Modeling Social Influence Dynamics3
Distributed Adaptive Signal Fusion for Fractional Programs3
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks3
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN3
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks3
Greedy $k$-Center From Noisy Distance Samples3
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity3
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs3
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay2
Event-Triggered Distributed Cubature Kalman Filtering Algorithm With Stealthy Attacks Over Sensor Networks2
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework2
Dual-Protection Method Against Eavesdroppers for Distributed State Estimation2
Federated Smoothing Proximal Gradient for Quantile Regression With Non-Convex Penalties2
Detection and Recovery of Hidden Submatrices2
Efficient Implementation of Truncated Frobenius Norm Minimization for Latent Low-Rank Representation2
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs2
Decentralized Singular Value Decomposition for Feature-wise Partitioned Data in Large-scale Distributed Sensor Networks2
Recursive Distributed Filter Design for 2-D Systems Over Sensor Networks: On Component-Based, Node-Wise and Dynamic Event-Triggered Scheme2
Virtual Convex Hull Based Distributed Iterative Localization for Mobile Sensor Networks Under Denial-of-Service Attacks2
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets2
Distributed Detection Fusion in Clustered Sensor Networks Over Multiple Access Fading Channels2
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification2
Graph Laplacian Learning With Exponential Family Noise2
Probability-Constrained Distributed Non-Fragile Estimation Over Sensor Networks Subject to Stochastic Communication Protocol2
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow2
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises2
Localization of Data Injection Attacks on Distributed M-Estimation2
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology2
Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach2
Gaussian Kernel Variance for an Adaptive Learning Method on Signals Over Graphs2
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks2
Saturated Sampled-Data Distributed Control for Interval Consensus of Multi-Agent Systems2
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