OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Signal Processing Magazine is 3. 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.)

Article	Citations
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	636
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications	227
Snapshot Compressive Imaging: Theory, Algorithms, and Applications	209
Self-Supervised Representation Learning: Introduction, advances, and challenges	173
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception	130
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques	119
Sound Event Detection: A tutorial	110
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks	107
Graph Signal Processing for Machine Learning: A Review and New Perspectives	102
Sampling Signals on Graphs: From Theory to Applications	96
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies	85
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]	80
Personalized Education in the Artificial Intelligence Era: What to Expect Next	78
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows	77
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling	71
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices	70
Federated Learning: A signal processing perspective	66
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring	64
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems	64
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 applications	61
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey	52
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications	51
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications	51
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks	51

Seventy Years of Radar and Communications: The road from separation to integration	49
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion	47
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding	44
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective	44
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology	43
Radio Map Estimation: A data-driven approach to spectrum cartography	42
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective	41
Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques	39
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods	35
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison	35
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing	35
Neural Target Speech Extraction: An overview	35
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]	34
Deep Learning in Neuroimaging: Promises and challenges	34
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications	34
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data	33
Physics-Inspired Compressive Sensing: Beyond deep unrolling	32
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals	31
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence	30
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview	30
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial	28
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging	27
The Cramér–Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]	26
Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions	26
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools	26
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling	26
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective	25
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing	25
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities	25
Graph Signal Processing: History, development, impact, and outlook	25
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering	24
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities	24
Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods	23
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications	21
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness	20
Deep Learning for Mobile Mental Health: Challenges and recent advances	20
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]	19
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students	18
Topological Signal Processing: Making Sense of Data Building on Multiway Relations	17
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance	17
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey	17
Deep Optical Coding Design in Computational Imaging: A data-driven framework	17
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges	16
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries	16
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion	16
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]	16
Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation	16
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities	16
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications	15
Teaching Differently: The Digital Signal Processing of Multimedia Content Through the Use of Liberal Arts	15

Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts	14
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging	14
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results	13
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]	13
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview	13
The Hitchhiker’s Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques	13
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods	13
Improvements to the Sliding Discrete Fourier Transform Algorithm [Tips & Tricks]	12
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning	12
ℓ ₂ and ℓ ₁ Trend Filtering: A Kalman Filter Approach [Lecture Notes]	11
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]	11
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement	11
Quaternions in Signal and Image Processing: A comprehensive and objective overview	11
Sketching Data Sets for Large-Scale Learning: Keeping only what you need	11
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews	10
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging: Explainable AI reveals new imaging frontiers	10
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]	10
Proper Definition and Handling of Dirac Delta Functions [Lecture Notes]	9
Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years	8
A Survey of Artificial Intelligence in Fashion	8
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises	8
Interpretability, Reproducibility, and Replicability [From the Guest Editors]	8
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches	8
Signal Processing on Signed Graphs: Fundamentals and Potentials	8
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets	8
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective	7
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains	7
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions	7
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications	7
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches	7
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]	7
What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving	7
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]	7
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving	7
Configuring an Intelligent Reflecting Surface for Wireless Communications: Highlights from the 2021 IEEE Signal Processing Cup student competition [SP Competitions]	6
Information Forensics and Security: A quarter-century-long journey	6
Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques	6
Networked Signal and Information Processing: Learning by multiagent systems	6
Deep Learning for Object Detection in Materials-Science Images: A tutorial	6
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks	6
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals	6
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education	6
Twenty-Five Years of Signal Processing Advances for Multiantenna Communications: From theory to mainstream technology	5
Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions	5
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]	5
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]	5
Intelligent Signal Processing for Affective Computing [From the Guest Editors]	5
High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine Learning: Current progress and future directions	5
Toward Enabling Next-Generation Societal Virtual Reality Applications for Virtual Human Teleportation: A novel future system concept and computation-communication-signal representation trade-offs	5
Deep Learning Meets Sparse Regularization: A signal processing perspective	4
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices	4
The Monte-Carlo Sampling Approach to Model Selection: A Primer [Lecture Notes]	4
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations	4
Signal Processing for Brain–Computer Interfaces: A review and current perspectives	4
Reinforcement Learning in Reproducing Kernel Hilbert Spaces	4
Synthesis of Fast-Decaying Window Functions [Lecture Notes]	4
Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions	3
Lensless X-Ray Nanoimaging: Revolutions and opportunities	3
The SONICOM Project: Artificial Intelligence-Driven Immersive Audio, From Personalization to Modeling [Applications Corner]	3
A Trick for Designing Composite Filters With Sharp Transition Bands and Highly Suppressed Stopbands [Tips & Tricks]	3
Demystifying Lie Group Methods for Signal Processing: A Tutorial	3
Teaching Signal Processing Through Frequent and Diverse Design: A Pedagogical Approach	3
Alternative Data Paths for the Cascaded Integrator-Comb Decimator [Tips & Tricks]	3
The Foundations of Computational Imaging: A signal processing perspective	3
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works	3
Affects in Groups: A review on automated affect processing and estimation in groups	3
Creativity First, Science Follows: Lessons in Digital Signal Processing Education	3
In Situ Transmission Electron Microscopy: Signal processing challenges and examples	3
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation	3
Simple Multiple Precision Algorithms for Exponential Functions [Tips & Tricks]	3