OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Transactions on Signal and Information Processing Over Networks is 6. 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.)

Article	Citations
A Generic Framework for Fixed-Time Synchronization of Large Delayed Impulsive Neural Networks	101
Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model	51
A Nonconvex Low Rank and Sparse Constrained Multiview Subspace Clustering via $l_{\frac{1}{2}}$-Induced Tensor Nuclear Norm	40
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent	36
Multivariate Time Series Forecasting With GARCH Models on Graphs	36
Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication	35
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning	30
Composite Output Consensus Control for General Linear Multiagent Systems With Heterogeneous Mismatched Disturbances	29
Diffusion Mixture Minimum Total Error Entropy Adaptive Filtering Algorithm and Its Performance Analysis	27
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries	26
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss	25
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing	24
Game-Theoretic Distributed Empirical Risk Minimization With Strategic Network Design	24
Communication-Efficient Federated Optimization Over Semi-Decentralized Networks	23
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach	22
Decentralized Federated Learning: Balancing Communication and Computing Costs	20
Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering	20
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks	20
Optimizing Multi-Agent Systems With Uncertain Dynamics: A Finite-Time Adaptive Distributed Approach	18
Joint Design of Sample and Node Weighting for Distributed Ordinal Regression Under Label Noise	18
IEEE SIGNAL PROCESSING SOCIETY	17
Discrete-Time Controllability of Cartesian Product Networks	17
Adaptive Resilient Tracking Control With Dual-Terminal Dynamic-Triggering for a Linear Multi-Agent System Against False Data Injection Attacks	17
Event-Triggered Data-Driven Distributed LFC Using Controller-Dynamic-Linearization Method	17
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression	16

Operator Analysis-based Distributed Quantized Bipartite Learning for Singular Nonlinear Switched Delayed MASs with Self-learning Input Sharing Under Antagonistic Networks	16
Estimation of Relative Kinematic Parameters of an Anchorless Network	16
Fault Estimation and Fault-Tolerant Tracking Control for Multi-Agent Systems With Lipschitz Nonlinearities Using Double Periodic Event-Triggered Mechanism	16
Online Auditing of Information Flow	16
The Graph Fractional Fourier Transform in Hilbert Space	16
scGraPhT: Merging Transformers and Graph Neural Networks for Single-Cell Annotation	15
Dual Averaging for Distributed Unbalanced Optimization With Delayed Information	14
Fully Distributed Model-Free Flocking of Multiple Euler-Lagrange Systems	14
Resampling and Network Theory	14
Multi-Agent Bipartite Flocking Control Over Cooperation-Competition Networks With Asynchronous Communications	14
Edge-Triggered Leader–Follower Consensus of Multiple Spacecraft Systems With Unknown Disturbances	14
A Closed-Form Solution for Graph Signal Separation Based on Smoothness	13
Channel Pricing and Sensor Scheduling for Distributed Estimation Based on a Stackelberg Game Framework	13
An Exploratory Distributed Localization Algorithm Based on 3D Barycentric Coordinates	12
Inferring Hidden Structures in Random Graphs	12
Auxiliary Particle Filtering Over Sensor Networks Under Protocols of Amplify-and-Forward and Decode-and-Forward Relays	11
Dynamic Event-Triggered Fusion Filtering for Multi-Sensor Rectangular Descriptor Systems With Random State Delay	11
Quantized Distributed Estimation With Adaptive Combiner	11
Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks	11
A Graph-Assisted Framework for Multiple Graph Learning	11
Adaptive Joint Estimation of Temporal Vertex and Edge Signals	11
Graph Receptive Transformer Encoder for Text Classification	11
Leader-Following Containment Control of Hybrid Fractional-Order Networked Agents With Nonuniform Time Delays	10
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers	10
Spline-Like Wavelet Filterbanks With Perfect Reconstruction on Arbitrary Graphs	10
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks	10
Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation	10
Robust Fault Detection for Uncertain Delayed Systems With Measurement Outliers Under Stochastic Communication Protocol	10
Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms	10
Adaptive Event-Triggered Quantized Communication-Based Distributed Estimation Over Sensor Networks With Semi-Markovian Switching Topologies	10
Distributed Training of Large Graph Neural Networks With Variable Communication Rates	10
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing	9
Gotta Match 'Em All: Solution Diversification in Graph Matching Matched Filters	9
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks	8
Data Representation via Attribute Selection- Propagation Neural Network	8
GGAT: Gravitation-Based Graph Attention Networks	8
Optimal Memory Scheme for Accelerated Consensus Over Multi-Agent Networks	8
Generalized Simplicial Attention Neural Networks	8
Bipartite Graph Approximation by Eigenvalue Optimization	8
Preset-Time Robust Multi-Objective Optimization Over Directed Networks Based On Multi-Agent Framework	7
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games	7
Mesh-Based Consensus Distributed Particle Filtering for Sensor Networks	7
Secure Observer-Based $H_{\infty }$ Synchronization for Singularly Perturbed Multiweighted Complex Networks With Stochastic Communication Protocol	7
Dynamic Event-Triggered Approach for Distributed State and Parameter Estimation Over Networks Subjected to Deception Attacks	7
RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises	7
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems	7
Staleness Analysis in Asynchronous Optimization	7
Decentralized Eigendecomposition for Online Learning Over Graphs With Applications	6
A Multi-Agent Collaborative Environment Learning Method for UAV Deployment and Resource Allocation	6
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM	6

SecDT: Privacy-Preserving Outsourced Decision Tree Classification Without Polynomial Forms in Edge-Cloud Computing	6
Distributed Optimization of Heterogeneous Linear Multi-Agent Systems With Unknown Disturbances and Optimal Gain Tuning	6
Distributed Extended Object Tracking Using Coupled Velocity Model From WLS Perspective	6
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness	6
Resilient Output Containment of Heterogeneous Multi-Agent Systems Against Byzantine Attacks	6
Encoding-Decoding-Based Distributed Fusion Filtering for Multi-Rate Nonlinear Systems With Sensor Resolutions	6
Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent	6
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph	6
Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	6
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality	6