OOIR: Observatory of International Research

Papers

(The H4-Index of Information Fusion is 78. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI	3373
A review of uncertainty quantification in deep learning: Techniques, applications and challenges	894
Tabular data: Deep learning is not all you need	449
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion	434
Deepfakes and beyond: A Survey of face manipulation and fake detection	427
A survey on machine learning for data fusion	347
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review	334
RFN-Nest: An end-to-end residual fusion network for infrared and visible images	324
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond	286
Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion	285
Image fusion meets deep learning: A survey and perspective	284
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges	274
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network	246
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation	241
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network	236
Overview and comparative study of dimensionality reduction techniques for high dimensional data	233
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities	227
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges	219
A review of multimodal image matching: Methods and applications	218
Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI	208
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges	200
A survey on deep learning in medicine: Why, how and when?	193
Notions of explainability and evaluation approaches for explainable artificial intelligence	184
Multi-focus image fusion: A Survey of the state of the art	180
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective	179

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis	176
An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges	166
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance	161
Feature-level fusion approaches based on multimodal EEG data for depression recognition	158
MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion	153
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	152
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based approach	150
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI	148
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware	148
The four dimensions of social network analysis: An overview of research methods, applications, and software tools	144
Urban flow prediction from spatiotemporal data using machine learning: A survey	143
Pixel level fusion techniques for SAR and optical images: A review	143
Multi-classifier information fusion in risk analysis	142
Real-world single image super-resolution: A brief review	140
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence	140
A systematic review on affective computing: emotion models, databases, and recent advances	138
An infrared and visible image fusion method based on multi-scale transformation and norm optimization	134
Multi-source information fusion based on rough set theory: A review	133
Image retrieval from remote sensing big data: A survey	129
Renewable energy harvesting schemes in wireless sensor networks: A Survey	125
Smart anomaly detection in sensor systems: A multi-perspective review	125
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators	124
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy	122
A critic evaluation of methods for COVID-19 automatic detection from X-ray images	120
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems	119
Deep learning in food category recognition	118
The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions	118
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system	116
A survey on empathetic dialogue systems	116
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions	113
The fractal dimension of complex networks: A review	112
Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations	109
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects	109
Recent advances and new guidelines on hyperspectral and multispectral image fusion	107
Object fusion tracking based on visible and infrared images: A comprehensive review	104
Alzheimer’s disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion	104
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network	101
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence	101
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources	101
A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network	100
EMFusion: An unsupervised enhanced medical image fusion network	98
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence	93
Explainable decision forest: Transforming a decision forest into an interpretable tree	92
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection	92
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion	89
Multi-user activity recognition: Challenges and opportunities	88
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions	88
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	86
Minimum cost consensus modelling under various linear uncertain-constrained scenarios	85
Image synthesis with adversarial networks: A comprehensive survey and case studies	84

Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer’s Disease analysis	82
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects	79
Reaching a minimum adjustment consensus in social network group decision-making	78
Radar sensor network resource allocation for fused target tracking: A brief review	78