OOIR: Observatory of International Research

Papers

(The H4-Index of Information Fusion is 84. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Individual entity induced label concept set for classification: An information fusion viewpoint	1520
Editorial Board	903
Editorial Board	657
A review of emerging research directions in Abstract Visual Reasoning	608
A tensor-network-based big data fusion framework for Cyber–Physical–Social Systems (CPSS)	566
Mid-Net: Rethinking efficient network architectures for small-sample vascular segmentation	502
Flare-aware cross-modal enhancement network for multi-spectral vehicle Re-identification	476
MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction	472
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance	457
A multi-view-based noise correction algorithm for crowdsourcing learning	368
A framework for generalized monotonicity of fusion functions	347
Multi-modal visual tracking based on textual generation	343
Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability	337
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction	334
Adversarial robust image processing in medical digital twin	334
Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering	301
Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare	253
InferTrans: Hierarchical structural fusion transformer for crowded human pose estimation	250
Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios	246
Opinion Evolution Model for Online Reviews from the Perspective of Value Co-creation	237
XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach	236
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints	235
Large-scale aerial scene perception based on self-supervised multi-view stereo via cycled generative adversarial network	217
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning	202
Smooth representation learning from multi-view data	197

Non-readily identifiable data collaboration analysis for multiple datasets including personal information	192
Discovering common information in multi-view data	186
Multimodal and multicontrast image fusion via deep generative models	183
Evidential dissonance measure in robust multi-view classification to resist adversarial attack	182
Radar sensor network resource allocation for fused target tracking: A brief review	169
Data fabric and digital twins: An integrated approach for data fusion design and evaluation of pervasive systems	169
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks	165
A preference-approval structure-based non-additive three-way group consensus decision-making approach for medical diagnosis	163
Anchor-based multi-view subspace clustering with hierarchical feature descent	162
Notions of explainability and evaluation approaches for explainable artificial intelligence	159
Review of pixel-level remote sensing image fusion based on deep learning	157
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis	157
A public and large-scale expert information fusion method and its application: Mining public opinion via sentiment analysis and measuring public dynamic reliability	157
IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition	156
Image dehazing via enhancement, restoration, and fusion: A survey	154
QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis	149
FedCPD: Addressing label distribution skew in federated learning with class proxy decoupling and proxy regularization	148
Long sequence time-series forecasting with deep learning: A survey	148
A graph neural approach for group recommendation system based on pairwise preferences	145
Transformer-based vision-language alignment for robot navigation and question answering	143
Editorial Board	141
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation	141
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams	141
An information fusion based approach to context-based fine-tuning of GPT models	141
Incremental learning for exudate and hemorrhage segmentation on fundus images	139
Editorial Board	139
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle	138
An expertise-based consensus reaching process with probability-hesitant fuzzy preference relations and its application in risk assessment in food industry	134
Multimodal manifold learning using kernel interpolation along geodesic paths	134
Unified framework for learning with label distribution	132
Transitive full covers of incomplete preference relations	130
Spectral-invariant matching network	130
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks	127
Advancing crowd forecasting with graphs across microscopic trajectory to macroscopic dynamics	127
Multi-source multi-modal domain adaptation	126
Fusion-based graph neural networks for synergistic underwater image enhancement	125
Multi-view graph imputation network	114
Recent advances in image dehazing: Formal analysis to automated approaches	113
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches	113
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery	111
Conti-Fuse: A novel continuous decomposition-based fusion framework for infrared and visible images	110
A scalable dynamic ensemble selection using fuzzy hyperboxes	109
Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecasting	108
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function	107
Enhancing the security of blockchain-based software defined networking through trust-based traffic fusion and filtration	105
Variational Quantum Linear Solver-based Combination Rules in Dempster–Shafer Theory	101
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification	101
Unifying clustering and representation learning for unsupervised text analysis: A Bayesian knowledge-enhanced approach	100
Collaborative DDoS defense for SDN-based AIoT with autoencoder-enhanced federated learning	99
Information fusion in crime event analysis: A decade survey on data, features and models	99

Deep learning techniques for hand vein biometrics: A comprehensive review	96
Data fusion and transfer learning empowered granular trust evaluation for Internet of Things	94
A semantic-driven coupled network for infrared and visible image fusion	92
Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection	92
Enhancing train travel time prediction for China–Europe railway express: A transfer learning-based fusion technique	92
Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review	89
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks	88
MST-GAT: A multi-perspective spatial-temporal graph attention network for multi-sensor equipment remaining useful life prediction	85
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	85