IEEE Transactions on Signal and Information Processing Over Networks

Papers
(The H4-Index of IEEE Transactions on Signal and Information Processing Over Networks is 21. 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
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning32
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances32
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis31
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks28
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries27
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design27
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing24
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
Decentralized Federated Learning: Balancing Communication and Computing Costs22
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks22
IEEE SIGNAL PROCESSING SOCIETY21
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise21
0.07112717628479