Information Fusion

Papers
(The H4-Index of Information Fusion is 81. 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 2020-08-01 to 2024-08-01.)
ArticleCitations
A review of uncertainty quantification in deep learning: Techniques, applications and challenges1077
Tabular data: Deep learning is not all you need566
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion488
Deepfakes and beyond: A Survey of face manipulation and fake detection483
RFN-Nest: An end-to-end residual fusion network for infrared and visible images413
Image fusion meets deep learning: A survey and perspective355
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond353
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges332
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network323
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion306
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation274
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network265
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities265
A review of multimodal image matching: Methods and applications255
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges243
Notions of explainability and evaluation approaches for explainable artificial intelligence236
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware231
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI224
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence216
A survey on deep learning in medicine: Why, how and when?215
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI213
Multi-focus image fusion: A Survey of the state of the art203
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis192
A systematic review on affective computing: emotion models, databases, and recent advances185
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance183
Real-world single image super-resolution: A brief review180
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion172
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach168
The four dimensions of social network analysis: An overview of research methods, applications, and software tools164
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 China161
ChatGPT: Jack of all trades, master of none157
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions155
Multi-source information fusion based on rough set theory: A review155
Deep learning in food category recognition155
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence154
Multi-classifier information fusion in risk analysis153
Smart anomaly detection in sensor systems: A multi-perspective review153
An infrared and visible image fusion method based on multi-scale transformation and norm optimization153
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion148
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems148
Image retrieval from remote sensing big data: A survey140
Renewable energy harvesting schemes in wireless sensor networks: A Survey140
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy135
A critic evaluation of methods for COVID-19 automatic detection from X-ray images133
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system132
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects131
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators129
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions128
The fractal dimension of complex networks: A review127
A survey on empathetic dialogue systems126
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations125
EMFusion: An unsupervised enhanced medical image fusion network123
Recent advances and new guidelines on hyperspectral and multispectral image fusion121
Object fusion tracking based on visible and infrared images: A comprehensive review120
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources120
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion117
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence117
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network116
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network111
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications111
Exploration in deep reinforcement learning: A survey108
Explainable decision forest: Transforming a decision forest into an interpretable tree104
Human activity recognition based on multienvironment sensor data102
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges99
Image synthesis with adversarial networks: A comprehensive survey and case studies98
Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis98
Radar sensor network resource allocation for fused target tracking: A brief review96
Multi-user activity recognition: Challenges and opportunities96
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection96
Deep learning for depression recognition with audiovisual cues: A review95
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution94
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects93
Minimum cost consensus modelling under various linear uncertain-constrained scenarios92
RXDNFuse: A aggregated residual dense network for infrared and visible image fusion91
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System90
DIVFusion: Darkness-free infrared and visible image fusion88
Network traffic classification for data fusion: A survey88
A comprehensive survey on regularization strategies in machine learning87
COVID-19 and Non-COVID-19 Classification using Multi-layers Fusion From Lung Ultrasound Images85
Deep learning based emotion analysis of microblog texts81
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions81
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