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 1. 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.)
ArticleCitations
Score-Based Variational Modeling for Spatiotemporal Forecasting39
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks37
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm34
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis33
A Novel Unified Extended Matrix for Graph Signal Processing: Theory and Application33
Fully-Distributed Prescribed-Time Consensus of High-Order Integrator Multi-Agent Systems: An Adaptive Protocol With Matching Gain Convergence30
Hierarchical Optimization for Time-Varying Resource Allocation of Networked Uncertain Robotic Agents With Inconstant Parameters27
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning26
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model25
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances24
Multivariate Time Series Forecasting With GARCH Models on Graphs24
Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication23
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss21
Security Dissipative Fuzzy Filtering for Networked Nonlinear Systems With Stochastic Cyber-Attacks20
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks20
Practical Predefined-Time Synchronization for Complex Networks With Time-Varying Coupling via Intermittent Dynamic Event-Triggered Control20
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing20
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries20
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks19
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design18
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach17
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise17
Exploiting the Structure of Two Graphs With Graph Neural Networks16
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach16
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression16
Online Reinforcement Learning for Model-Free Secure Formation Control Under DoS Attacks16
ST-DAGCN: Spatial-Temporal Directed Acyclic Graph Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification15
Estimation of Relative Kinematic Parameters of an Anchorless Network15
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method14
Discrete-Time Controllability of Cartesian Product Networks14
Rotating Scaled Synchronization of Networked Agent Systems With Hybrid Time Delays14
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation13
Operator Analysis-Based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs With Self-Learning Input Sharing Under Antagonistic Networks13
Fast-Converging Distributed Signal Estimation in Topology-Unconstrained Wireless Acoustic Sensor Networks13
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks13
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism12
Deep Reinforcement Learning Based Transmission Scheduling for Sensing and Control Coordination12
The Graph Fractional Fourier Transform in Hilbert Space12
Online Auditing of Information Flow12
Distributed Nonsmooth Nonconvex Optimization: Deterministic and Stochastic Zeroth-Order Algorithms with Decaying Step Sizes11
Hierarchical Learning in Distributed Online Markov Games via Partial Cooperation11
Dynamic Memory Event-Triggered Optimal Secure Consensus Control of Multiple WMRs Under FDI Attacks10
Diffusion Generalized Kernel Maximum Correntropy Criterion Algorithm With Variable Center: Establishment and Performance Analysis10
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems10
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework10
Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications10
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information10
Edge-Triggered Leader–Follower Consensus of Multiple Spacecraft Systems With Unknown Disturbances10
A Closed-Form Solution for Graph Signal Separation Based on Smoothness9
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks9
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms9
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay9
Consecutive and Periodic Intermittent Cluster Synchronization of Positive Complex Networks9
Fixed-Time Synchronization of Leaderless and Leader-Following Multi-Agent Networks With Delayed Impulses8
Adaptive Joint Estimation of Temporal Vertex and Edge Signals8
Distributed Training of Large Graph Neural Networks With Variable Communication Rates8
Graph Receptive Transformer Encoder for Text Classification8
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation8
A Graph-Assisted Framework for Multiple Graph Learning8
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers8
Variance-Constrained Distributed Filtering Under Limited Bit Rates for Time-Varying Systems8
Generalized Simplicial Attention Neural Networks7
Graph Neural Networks Improve Quantized Transformers by Incorporating Global Relationships7
GGAT: Gravitation-Based Graph Attention Networks7
MOLENA: Analyzing the Two-Step Message Flow and Opinion Evolution Process in Social Networks7
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing7
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters7
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks7
Distributed Robust Output-Constrained Control of Unknown Nonlinear Multiagent Systems Under Switching Topologies7
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays7
BDoG-Net: Algorithm Unrolling for Blind Deconvolution on Graphs7
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs7
Secure Observer-Based $H_{\infty }$ Synchronization for Singularly Perturbed Multiweighted Complex Networks With Stochastic Communication Protocol6
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks6
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework6
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications6
Predefined-Time Distributed Optimization Algorithm for Disturbed MASs With Equality Constraints6
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises6
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks6
Bipartite Fault-Tolerant Consensus of Discrete-Time Singular Multi-Agent Systems: An Observer-Based Approach6
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems6
Joint Statistical Mask Learning and Distributed Estimation Without Support Priors6
Data Representation via Attribute Selection- Propagation Neural Network6
Bipartite Graph Approximation by Eigenvalue Optimization6
Distributed Optimization of Heterogeneous Linear Multi-Agent Systems With Unknown Disturbances and Optimal Gain Tuning6
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph5
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions5
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks5
A Distributed Online Learning Method Over Time-Varying Unbalanced Directed Graphs via Improved Regret Analysis5
Ego Attention Network: Local Awareness Boosts Graph Attention for Graph Representation Learning5
Energy-Efficient Sequential Estimation Via Sensor Ordering5
A Distributed Consensus Controller With Indirect State Interaction for Multi-Agent Systems in the Port-Hamiltonian Framework5
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent5
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM5
Multi-Sensor Distributed Fusion Estimation for $\mathbb {T}_{k}$-Proper Factorizable Signals in Sensor Networks With Fading Measurements5
Online Smooth Graph Learning From Incomplete Data5
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications4
Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints4
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing4
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow4
Distributed Optimization Algorithm for the Economic Dispatch Problem Over Delayed Communication Network4
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach4
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty4
Distributed Zeroth-Order Gradient Tracking for Weakly Convex Optimization Over Unbalanced Graphs4
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets4
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers3
Unifying Epidemic Models With Mixtures3
An ADMM-Based Approach to Quadratically-Regularized Distributed Optimal Transport on Graphs3
State Estimation for Discrete-Time Complex Networks With Time-Varying Outer Coupling and Uncertain Inner Coupling: A Distributed Method3
IEEE Signal Processing Society Information3
Adaptive Fault-Tolerant Affine Formation Maneuver Control of Disturbed High-Order Multi-Agent Systems Over Directed Networks3
Byzantine-Robust Distributed Learning With Compression3
Multi-Rate Sampled-Data Secure Fusion Estimation Against Malicious Hybrid Attacks3
Robust Online Modeling of Counts in Agent Networks3
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data3
Distributed Composite Regularization via Dual-Layer Consensus Optimization3
Geometric Methods for Resilient Aggregation and Safe Point Computation in Adversarial Multiagent Networks With Imprecise Data3
Stability of Aggregation Graph Neural Networks3
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks3
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics3
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets3
Directed Graph Learning via Smooth Signals and Directional Flow3
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network3
Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals3
Two-timescale Adaptive Dynamic Event-triggered Control of Multi-agent Systems via a Singular Perturbation Approach3
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks3
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework2
Vertex-Frequency Analysis of Brain Networks: Unveiling the Connection Between Structure-Function Coupling and Cognitive Ability2
Full-Agent Connectivity-Preserving Secure Strategy Under Multi-Frequency Deception Attacks2
Dynamic Event-Triggering Resilient Coordination for Time-Varying Heterogeneous Networks2
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN2
Strong Convergence of a Random Actions Model in Opinion Dynamics2
Graph Distributional Signals for Regularization in Graph Neural Networks2
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System2
Efficient Implementation of Truncated Frobenius Norm Minimization for Latent Low-Rank Representation2
Fast Kernel-Based Sampling of Graph Signals Using Localized Graph Filter Impulse Responses2
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content2
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay2
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks2
Resilient Distributed Optimization Algorithm With Fixed Step Size Against Malicious Attacks2
Algorithm Unrolling-Based Denoising of Multimodal Graph Signals2
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations2
Adaptive Event-Triggered Output Synchronization of Heterogeneous Multiagent Systems: A Model-Free Reinforcement Learning Approach2
Pointwise Mutual Information-Induced Nonnegative Matrix Tri-Factorization With Hypergraph Regularization for Overlapping Community Detection2
Probability-Constrained Distributed Non-Fragile Estimation Over Sensor Networks Subject to Stochastic Communication Protocol2
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity2
Finite-Time Distributed Filtering for Multi-Rate Nonlinear Systems Suffering From Denial-of-Service Attacks: A Binary Encoding Scheme2
Distributed Adaptive Signal Fusion for Fractional Programs2
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search2
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol2
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals2
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem2
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks2
CoRNI: A Co-Evolutionary Framework Integrating Reputation and Network Structure for Modeling Social Influence Dynamics2
Distributed Linear Network Operators Based on Successive Graph Shift Matrices1
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay1
Learning Networks From Wide-Sense Stationary Stochastic Processes1
Two-View and Multi-View Tensor Canonical Correlation Analysis Over Graphs1
Distributed Control in Uncertain Nonlinear Multiagent Systems Under Event-Triggered Communication and General Directed Graphs1
Sequence-Based Group Consensus for Heterogeneous Multi-Agent Systems1
Data-Driven Containment Control for Nonlinear Multi-Agent Systems Under DoS Attacks and Actuator Faults1
Message Passing-Based 9-D Cooperative Localization and Navigation With Embedded Particle Flow1
Mixed Static-Dynamic Protocol-Based Tobit Recursive Filtering for Stochastic Nonlinear Systems Against Random False Data Injection Attacks1
Graph Laplacian Learning With Exponential Family Noise1
Personalized Graph Federated Learning With Differential Privacy1
Secure Event-Triggered Consensus Control of Multi-Agent Systems Under Hybrid Cyber Attacks1
Distributed Fusion With Unknown Inputs Under Bandwidth-Aware Event-Triggered Mechanisms: Monotonicity and Boundedness1
Event-Triggered Distributed Cubature Kalman Filtering Algorithm With Stealthy Attacks Over Sensor Networks1
Reinforcement Learning-Based Event-Triggered Constrained Containment Control for Perturbed Multiagent Systems1
Communication-Efficient and Privacy-Aware Distributed Learning1
Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack1
Gradient-Based Spectral Embeddings of Random Dot Product Graphs1
Distributed Constrained Optimization Algorithm for Higher-Order Multi-Agent Systems1
Improved Diffusion Recursive Least Squares for Graph Signal Estimation on Distributed Network1
Event-Triggered Adaptive Tracking Control for Multi-Agent Systems With Multiple Uncertainties1
Optimization Based Sensor Placement for Multi-Target Localization With Coupling Sensor Clusters1
Adaptive Event-Triggered State Estimation for Nonlinear Complex Networks With Uncertain Coupling Strengths and Data Integrity Attacks1
Detection and Recovery of Hidden Submatrices1
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology1
Learning Optimal Graph Filters for Clustering of Attributed Graphs1
Dual-Protection Method Against Eavesdroppers for Distributed State Estimation1
Robust LOS Identification for Passive Multi-Target Localization in Multipath Obstructed Environments1
Remote State Estimation With Quantized Communication Against Markov Tampering Attack1
Causal Inference From Slowly Varying Nonstationary Processes1
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks1
Dynamic Quantized Event-Triggered Predictive Control for Networked Control Systems With DoS Attacks: A Hybrid System Approach1
Evolutionary Dynamics Based on Reputation in Networked Populations With Game Transitions1
Auto-Weighted Multiple Graph Learning From Smooth Signals Across Data Silos1
Event-Triggered Distributed Estimation With Inter-Event Information Retrieval1
Exponential Synchronization of Reaction-Diffusion Systems on Networks via Asynchronous Intermittent Control1
An Asymptotically Equivalent GLRT Test for Distributed Detection in Wireless Sensor Networks1
DuDi: Dual-Scope Discrepancy-Aware Attributed Network Anomaly Detection1
Federated Smoothing Proximal Gradient for Quantile Regression With Non-Convex Penalties1
Learning Time-Varying Graph Signals via Koopman1
Virtual Convex Hull Based Distributed Iterative Localization for Mobile Sensor Networks Under Denial-of-Service Attacks1
Multi-Bit Distributed Detection of Sparse Stochastic Signals Over Error-Prone Reporting Channels1
Decentralized Singular Value Decomposition for Feature-Wise Partitioned Data in Large-Scale Distributed Sensor Networks1
Set-Membership Estimation Based Distributed Cooperative Localization of Multiple UAVs1
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification1
0.070369005203247