OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Signal Processing Magazine is 39. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Federated Learning: Challenges, Methods, and Future Directions	2015
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	487
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems	278
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges	278
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies	223
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications	157
Snapshot Compressive Imaging: Theory, Algorithms, and Applications	155
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception	143
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception	101
Self-Supervised Representation Learning: Introduction, advances, and challenges	97
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques	87
Single-Particle Cryo-Electron Microscopy: Mathematical Theory, Computational Challenges, and Opportunities	82
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization	81
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks	80
Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution	78
Sampling Signals on Graphs: From Theory to Applications	76
Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies	71
Graph Signal Processing for Machine Learning: A Review and New Perspectives	71
Sound Event Detection: A tutorial	70
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence	69
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances	68
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]	65
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling	63
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows	63
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning	56

Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]	53
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications	51
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies	51
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices	51
Federated Learning: A signal processing perspective	50
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model	48
Optimization for Reinforcement Learning: From a single agent to cooperative agents	48
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring	44
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems	43
Optimization and Learning With Information Streams: Time-varying algorithms and applications	41
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]	41
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion	40
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey	40
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications	39