OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Signal Processing Magazine is 5. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Federated Learning: Challenges, Methods, and Future Directions	2172
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	534
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems	307
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges	301
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies	243
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications	176
Snapshot Compressive Imaging: Theory, Algorithms, and Applications	168
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception	149
Self-Supervised Representation Learning: Introduction, advances, and challenges	119
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception	111
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques	99
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization	89
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks	86
Graph Signal Processing for Machine Learning: A Review and New Perspectives	83
Sound Event Detection: A tutorial	82
Sampling Signals on Graphs: From Theory to Applications	81
Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies	73
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence	73
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances	71
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]	69
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows	68
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling	64
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications	59
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies	58
Federated Learning: A signal processing perspective	56

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning	56
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]	55
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices	55
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring	51
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model	51
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems	50
Optimization for Reinforcement Learning: From a single agent to cooperative agents	50
Personalized Education in the Artificial Intelligence Era: What to Expect Next	45
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]	44
Optimization and Learning With Information Streams: Time-varying algorithms and applications	44
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey	42
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding	41
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances	41
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion	41
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications	40
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications	38
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond	38
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications	36
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology	36
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks	35
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective	33
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective	32
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison	31
Deep Learning in Neuroimaging: Promises and challenges	30
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data	29
An Overview of the MPEG-5 Essential Video Coding Standard [Standards in a Nutshell]	29
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective	28
The Global Landscape of Neural Networks: An Overview	27
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications	27
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals	26
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing	25
Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques	24
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]	24
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent	24
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing	23
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities	22
The Cramér–Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]	22
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview	22
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools	21
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence	21
Radio Map Estimation: A data-driven approach to spectrum cartography	21
Submodularity in Action: From Machine Learning to Signal Processing Applications	21
Seventy Years of Radar and Communications: The road from separation to integration	20
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies	20
Physics-Inspired Compressive Sensing: Beyond deep unrolling	19
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods	19
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities	19
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions	18
Deep Learning for Mobile Mental Health: Challenges and recent advances	17
Topological Signal Processing: Making Sense of Data Building on Multiway Relations	17

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness	16
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities	16
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing	16
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering	16
Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation	16
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]	16
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications	15
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries	15
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students	15
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial	15
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling	15
Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms	14
Teaching Differently: The Digital Signal Processing of Multimedia Content Through the Use of Liberal Arts	14
Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods	14
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges	13
Deep Optical Coding Design in Computational Imaging: A data-driven framework	12
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging	12
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results	12
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance	12
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts	12
Machine Learning From Distributed, Streaming Data [From the Guest Editors]	12
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey	12
Improvements to the Sliding Discrete Fourier Transform Algorithm [Tips & Tricks]	11
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]	11
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]	11
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods	11
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective	11
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]	11
The Hitchhiker’s Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques	11
ℓ ₂ and ℓ ₁ Trend Filtering: A Kalman Filter Approach [Lecture Notes]	10
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging	10
Communications and Sensing: An Opportunity for Automotive Systems [From the Editor]	10
Neural Target Speech Extraction: An overview	10
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]	10
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews	10
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications	10
Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions	9
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview	9
Sketching Data Sets for Large-Scale Learning: Keeping only what you need	9
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement	9
Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches	9
Graph Signal Processing: History, development, impact, and outlook	8
Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments	8
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion	8
Proper Definition and Handling of Dirac Delta Functions [Lecture Notes]	8
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches	8
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization	8
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches	7
An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]	7
Interpretability, Reproducibility, and Replicability [From the Guest Editors]	7
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective	7
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals	6
Signal Processing on Signed Graphs: Fundamentals and Potentials	6
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency	6
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions	6
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]	6
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education	6
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains	6
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises	6
A Survey of Artificial Intelligence in Fashion	6
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets	6
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging: Explainable AI reveals new imaging frontiers	5
Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques	5
Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions	5
Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors]	5
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]	5
Intelligent Signal Processing for Affective Computing [From the Guest Editors]	5
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks	5
What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving	5
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]	5
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving	5