Information Fusion

Papers
(The H4-Index of Information Fusion is 102. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Opinion Evolution Model for Online Reviews from the Perspective of Value Co-creation1605
Individual entity induced label concept set for classification: An information fusion viewpoint1315
Fast fourier transform gated activation function (FFTGate)944
Editorial Board926
Adaptive knowledge-augmented multi-domain recommendation with large language models643
A framework for generalized monotonicity of fusion functions594
Smooth representation learning from multi-view data578
Large-scale aerial scene perception based on self-supervised multi-view stereo via cycled generative adversarial network544
Transformer-based vision-language alignment for robot navigation and question answering531
A preference-approval structure-based non-additive three-way group consensus decision-making approach for medical diagnosis509
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction445
DDAFormer: A hybrid architecture with dynamic large kernel convolution and distance-aware transformer for Brain Tumor Segmentation443
Multi-sensor data fusion for smart healthcare: optimizing specialty-based classification of imbalanced EMRs427
RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition423
CASI: Context-aware Automatic Semantic Inference by fusing video and network traffic information in industrial control systems367
An information fusion based approach to context-based fine-tuning of GPT models346
Multi-level semantics-aware and multi-granularity knowledge-infused model for emotional support conversation311
Hypergraph facilitated feature fusion of multi-prototype for BRAF mutation prediction of thyroid cancer using cytology slides311
GLUE3D: General language understanding evaluation for 3D point clouds307
Mitigating malicious model fusion in federated learning via confidence-aware defense298
Robust privacy-preserving aggregation against poisoning attacks for secure distributed data fusion289
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning283
Mid-Net: Rethinking efficient network architectures for small-sample vascular segmentation271
Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering271
XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach262
A multi-view-based noise correction algorithm for crowdsourcing learning259
Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability244
InferTrans: Hierarchical structural fusion transformer for crowded human pose estimation238
Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare232
Multi-modal visual tracking based on textual generation228
Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios228
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints228
Adversarial robust image processing in medical digital twin227
A self-supervised data augmentation strategy for EEG-based emotion recognition219
Data fabric and digital twins: An integrated approach for data fusion design and evaluation of pervasive systems215
Motion-guided token prioritization and semantic degradation fusion for exo-to-ego cross-view video generation215
MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR212
A graph attention network for real-world multi-image super-resolution211
Flare-aware cross-modal enhancement network for multi-spectral vehicle Re-identification201
Long sequence time-series forecasting with deep learning: A survey193
Evidential dissonance measure in robust multi-view classification to resist adversarial attack179
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance178
Magic: AN LLM-based multi-agent activated graph-reasoning intelligent collaboration model for liver disease diagnosis175
QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis174
One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization173
Radar sensor network resource allocation for fused target tracking: A brief review172
Spatio-temporal data fusion framework based on large language model for enhanced prediction of electric vehicle charging demand in smart grid management169
MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction168
From attributes to natural language: A survey and foresight on text-based person re-identification166
Non-readily identifiable data collaboration analysis for multiple datasets including personal information164
Towards efficient RGB-T semantic segmentation via feature generative distillation strategy159
A graph neural approach for group recommendation system based on pairwise preferences158
Image dehazing via enhancement, restoration, and fusion: A survey157
FedCPD: Addressing label distribution skew in federated learning with class proxy decoupling and proxy regularization157
Anchor-based multi-view subspace clustering with hierarchical feature descent152
Single Hyperspectral Image Super-Resolution Using An Efficient Transformer Network149
Multimodal and multicontrast image fusion via deep generative models149
Multilevel feature encoder for transfer learning-based fault detection on acoustic signal148
Diffusion masked autoencoders as casual-aware curriculum learner for graph out-of-distribution generalization145
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey143
A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunities143
Review of pixel-level remote sensing image fusion based on deep learning141
A review of emerging research directions in Abstract Visual Reasoning141
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis139
CM 139
Discovering common information in multi-view data136
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks136
Cross-attention fusion of graph and MLLM for social relation recognition135
IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition135
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation132
Editorial Board131
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams130
Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments128
BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion124
Information fusion in crime event analysis: A decade survey on data, features and models124
Interpretable research of fuzzy methods: A literature survey124
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches124
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications123
MST-GAT: A multi-perspective spatial-temporal graph attention network for multi-sensor equipment remaining useful life prediction122
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery118
Deep learning for hyperspectral image classification: A comprehensive review and future predictions118
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks118
Enhancing train travel time prediction for China–Europe railway express: A transfer learning-based fusion technique118
Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection116
A scalable dynamic ensemble selection using fuzzy hyperboxes115
Neighbor-aware deep multi-view clustering via graph convolutional network114
Fusion-based graph neural networks for synergistic underwater image enhancement114
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks114
A semantic-driven coupled network for infrared and visible image fusion113
Multi-source multi-modal domain adaptation113
An expertise-based consensus reaching process with probability-hesitant fuzzy preference relations and its application in risk assessment in food industry111
Variational Quantum Linear Solver-based Combination Rules in Dempster–Shafer Theory110
Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix109
Hallucination-resistant multimodal content generation through knowledge graph-based reinforcement learning108
Editorial Board108
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction106
Stimulating conversation-style emergencies of multi-modal LMs106
Spectral-invariant matching network106
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle106
Recent advances in image dehazing: Formal analysis to automated approaches105
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function103
SAFedHDM: Semi-asynchronous federated learning with highlight diffusion model for medical image segmentation102
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments102
Unifying clustering and representation learning for unsupervised text analysis: A Bayesian knowledge-enhanced approach102
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