OOIR: Observatory of International Research

Papers

(The H4-Index of Information Fusion is 82. 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
A review of uncertainty quantification in deep learning: Techniques, applications and challenges	1168
Tabular data: Deep learning is not all you need	625
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion	509
Deepfakes and beyond: A Survey of face manipulation and fake detection	498
RFN-Nest: An end-to-end residual fusion network for infrared and visible images	470
Image fusion meets deep learning: A survey and perspective	391
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond	376
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network	370
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges	354
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence	296
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities	293
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware	285
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation	284
A review of multimodal image matching: Methods and applications	269
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network	267
Notions of explainability and evaluation approaches for explainable artificial intelligence	260
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI	238
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI	230
A survey on deep learning in medicine: Why, how and when?	225
Multi-focus image fusion: A Survey of the state of the art	211
A systematic review on affective computing: emotion models, databases, and recent advances	206
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance	194
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis	193
ChatGPT: Jack of all trades, master of none	192
Real-world single image super-resolution: A brief review	190

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions	188
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion	184
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach	171
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion	171
Deep learning in food category recognition	170
The four dimensions of social network analysis: An overview of research methods, applications, and software tools	170
Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China	166
Smart anomaly detection in sensor systems: A multi-perspective review	165
Multi-source information fusion based on rough set theory: A review	162
An infrared and visible image fusion method based on multi-scale transformation and norm optimization	159
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems	159
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence	156
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy	150
Image retrieval from remote sensing big data: A survey	146
Renewable energy harvesting schemes in wireless sensor networks: A Survey	143
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system	137
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects	136
The fractal dimension of complex networks: A review	133
A critic evaluation of methods for COVID-19 automatic detection from X-ray images	133
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions	132
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources	132
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators	132
A survey on empathetic dialogue systems	131
Exploration in deep reinforcement learning: A survey	131
Recent advances and new guidelines on hyperspectral and multispectral image fusion	130
EMFusion: An unsupervised enhanced medical image fusion network	130
Object fusion tracking based on visible and infrared images: A comprehensive review	127
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	122
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence	120
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion	120
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network	117
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network	114
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges	110
Human activity recognition based on multienvironment sensor data	110
DIVFusion: Darkness-free infrared and visible image fusion	107
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution	107
Image synthesis with adversarial networks: A comprehensive survey and case studies	105
Multi-user activity recognition: Challenges and opportunities	104
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis	102
A comprehensive survey on regularization strategies in machine learning	101
Radar sensor network resource allocation for fused target tracking: A brief review	100
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection	99
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion	97
Deep learning for depression recognition with audiovisual cues: A review	97
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System	96
Artificial intelligence for cybersecurity: Literature review and future research directions	95
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects	94
Minimum cost consensus modelling under various linear uncertain-constrained scenarios	93
GAN review: Models and medical image fusion applications	93
Network traffic classification for data fusion: A survey	93

Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions	93
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation	91
Benchmarking and comparing multi-exposure image fusion algorithms	87
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images	87
Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges	85
Deep learning based emotion analysis of microblog texts	85
Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives	82
40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges	82