OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm	93
Multivariate Time Series Forecasting With GARCH Models on Graphs	43
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances	35
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent	34
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model	29
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis	29
Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication	27
A Generic Framework for Fixed-time Synchronization of Large Delayed Impulsive Neural Networks	26
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning	24
Decentralized Federated Learning: Balancing Communication and Computing Costs	23
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach	22
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries	22
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks	22
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design	21
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss	21
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks	17
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing	17
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering	16
Estimation of Relative Kinematic Parameters of an Anchorless Network	16
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks	15
Discrete-Time Controllability of Cartesian Product Networks	15
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method	15
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach	15
IEEE SIGNAL PROCESSING SOCIETY	15
Online Auditing of Information Flow	14

The Graph Fractional Fourier Transform in Hilbert Space	14
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework	13
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism	13
Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications	13
Edge-Triggered Leader–Follower Consensus of Multiple Spacecraft Systems With Unknown Disturbances	12
Resampling and Network Theory	12
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems	12
A Closed-Form Solution for Graph Signal Separation Based on Smoothness	11
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information	11
Inferring Hidden Structures in Random Graphs	11
A Graph-Assisted Framework for Multiple Graph Learning	10
Adaptive Joint Estimation of Temporal Vertex and Edge Signals	10
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay	10
Graph Receptive Transformer Encoder for Text Classification	10
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates	10
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol	10
Quantized Distributed Estimation With Adaptive Combiner	10
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks	9
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms	9
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays	9
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation	8
Distributed Training of Large Graph Neural Networks with Variable Communication Rates	8
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks	8
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers	8
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies	8
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays	8
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters	7
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks	7
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs	7
Generalized Simplicial Attention Neural Networks	7
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks	7
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks	6
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing	6
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent	6
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework	6
Data Representation via Attribute Selection- Propagation Neural Network	6
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games	6
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph	6
Bipartite Graph Approximation by Eigenvalue Optimization	6
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems	6
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks	6
Staleness Analysis in Asynchronous Optimization	6
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM	5
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	5
Protocol-Based Fusion Estimator Design for State-Saturated Systems With Dead-Zone-Like Censoring Under Deception Attacks	5
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness	5
Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs	5
SecDT: Privacy-Preserving Outsourced Decision Tree Classification Without Polynomial Forms in Edge-Cloud Computing	5
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality	5
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications	5

A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation	5
Sensor-Fault Detection, Isolation and Accommodation for Natural-Gas Pipelines Under Transient Flow	5
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions	5
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective	5
Consensus Analysis for Cooperative-Competitive Multiagent Systems Under False Data Injection Attacks via Dynamic Event-Triggered Observers	4
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach	4
Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets	4
A Novel Spectral Graph Distance Measure and Its Applications in Biomedical Signal Processing	4
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference	4
Inhomogeneous Graph Trend Filtering via a $\ell _{2,0}$-Norm Cardinality Penalty	4
Multi-Rate Sampled-Data Secure Fusion Estimation Against Malicious Hybrid Attacks	4
Robust Online Modeling of Counts in Agent Networks	4
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks	4
Distributed Event-Triggered Fault-Tolerant Consensus Control of Multi-Agent Systems Under DoS Attacks	4
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities	4
Fully Distributed Game Strategy for Second-Order Players and Its Application to Networked Electricity Markets	4
Unifying Epidemic Models With Mixtures	4
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics	4
Online Joint Topology Identification and Signal Estimation From Streams With Missing Data	4
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space	3
Temporal Multiple Rotation Averaging on a Distributed Dynamic Network	3
A Fixed-Time Convergent Distributed Algorithm for Time-Varying Optimal Resource Allocation Problem	3
Byzantine-Robust Distributed Learning With Compression	3
Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol	3
Permutation Entropy for Graph Signals	3
Stability of Aggregation Graph Neural Networks	3
Learning Graphs From Smooth and Graph-Stationary Signals With Hidden Variables	3
Surface Target Tracking Using Towed Array Sonars With Direct and Bottom Bounce Underwater Sound Signals	3
Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN	3
A Linearly Convergent Optimization Framework for Learning Graphs From Smooth Signals	3
IEEE Signal Processing Society Information	3
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis	3
Variable Step-Size Diffusion Bias-Compensated APV Algorithm Over Networks	3
Bipartite Consensus for Takagi-Sugeno Fuzzy Uncertain Multi-Agent Systems With Gain Fluctuations	3
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization	3
Fair Contrastive Learning on Graphs	3
Memory-Based Accelerated Consensus for Second-Order Multi-Agent Systems With Delay	2
Greedy $k$-Center From Noisy Distance Samples	2
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks	2
Fuzzy Aggregation and Label Propagation Based Social Community Detection Using Cuckoo Search	2
A Multi-View Rumor Detection Framework Using Dynamic Propagation Structure, Interaction Network, and Content	2
Localization of Data Injection Attacks on Distributed M-Estimation	2
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology	2
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs	2
Distributed Sequential State Estimation Over Binary Sensor Networks With Inaccurate Process Noise Covariance: A Variational Bayesian Framework	2
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification	2
Distributed Nash Equilibrium Seeking for Nonlinear Players With Input Delay	2
Performance Analysis of Smart Grid Wide Area Network With RIS Assisted Three Hop System	2
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence	2
Dynamic Event-Triggering Resilient Coordination for Time-Varying Heterogeneous Networks	2
Dynamic Event-Triggered Feedback Fusion Estimation for Nonlinear Multi-Sensor Systems With Auto/Cross-Correlated Noises	2
Graph Neural Networks With Lifting-Based Adaptive Graph Wavelets	2
Communication-Efficient and Privacy-Aware Distributed Learning	2
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs	2
Distributed Adaptive Signal Fusion for Fractional Programs	2
Deterministic and Randomized Diffusion Based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Recovery of Sparse Signals	2
Optimized Distributed Filtering for Time-Varying Saturated Stochastic Systems With Energy Harvesting Sensors Over Sensor Networks	2
Strong Convergence of a Random Actions Model in Opinion Dynamics	2
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity	2
Event-Triggered Distributed Cubature Kalman Filtering Algorithm With Stealthy Attacks Over Sensor Networks	2
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks	2
Improved Interval Estimation Method for Cyber-Physical Systems Under Stealthy Deception Attacks	2