IEEE Signal Processing Magazine

Papers
(The H4-Index of IEEE Signal Processing Magazine is 35. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing636
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications227
Snapshot Compressive Imaging: Theory, Algorithms, and Applications209
Self-Supervised Representation Learning: Introduction, advances, and challenges173
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception130
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques119
Sound Event Detection: A tutorial110
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks107
Graph Signal Processing for Machine Learning: A Review and New Perspectives102
Sampling Signals on Graphs: From Theory to Applications96
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies85
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]80
Personalized Education in the Artificial Intelligence Era: What to Expect Next78
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows77
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling71
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices70
Federated Learning: A signal processing perspective66
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems64
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring64
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]62
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications61
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey52
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks51
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications51
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications51
Seventy Years of Radar and Communications: The road from separation to integration49
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion47
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective44
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding44
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology43
Radio Map Estimation: A data-driven approach to spectrum cartography42
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective41
Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques39
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing35
Neural Target Speech Extraction: An overview35
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods35
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison35
0.078223943710327