Information Fusion

Papers
(The median citation count of Information Fusion is 8. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Individual entity induced label concept set for classification: An information fusion viewpoint1380
Fast fourier transform gated activation function (FFTGate)965
Editorial Board948
A framework for generalized monotonicity of fusion functions662
Transformer-based vision-language alignment for robot navigation and question answering608
A preference-approval structure-based non-additive three-way group consensus decision-making approach for medical diagnosis598
DDAFormer: A hybrid architecture with dynamic large kernel convolution and distance-aware transformer for Brain Tumor Segmentation552
RVAFM: Re-parameterizing Vertical Attention Fusion Module for handwritten paragraph text recognition538
An information fusion based approach to context-based fine-tuning of GPT models524
GLUE3D: General language understanding evaluation for 3D point clouds464
Mitigating malicious model fusion in federated learning via confidence-aware defense457
CM 443
FedCPD: Addressing label distribution skew in federated learning with class proxy decoupling and proxy regularization433
Image dehazing via enhancement, restoration, and fusion: A survey387
A graph attention network for real-world multi-image super-resolution366
Evidential dissonance measure in robust multi-view classification to resist adversarial attack325
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance316
Magic: AN LLM-based multi-agent activated graph-reasoning intelligent collaboration model for liver disease diagnosis312
One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization306
MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction297
From attributes to natural language: A survey and foresight on text-based person re-identification297
Motion-guided token prioritization and semantic degradation fusion for exo-to-ego cross-view video generation279
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints275
Adversarial robust image processing in medical digital twin266
Multilevel feature encoder for transfer learning-based fault detection on acoustic signal261
A review of emerging research directions in Abstract Visual Reasoning248
A graph neural approach for group recommendation system based on pairwise preferences240
When multi-view meets multi-level: A novel spatio-temporal transformer for traffic prediction237
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation234
Robust privacy-preserving aggregation against poisoning attacks for secure distributed data fusion232
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning231
Mid-Net: Rethinking efficient network architectures for small-sample vascular segmentation226
Regional defeats global: An efficient regional feature fusion via convolutional architecture for multispectral object detection224
Graph refinement and consistency self-supervision for tensorized incomplete multi-view clustering222
A multi-view-based noise correction algorithm for crowdsourcing learning220
Deep-TCP: Multi-source data fusion for deep learning-powered tropical cyclone intensity prediction to enhance urban sustainability218
InferTrans: Hierarchical structural fusion transformer for crowded human pose estimation208
Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare192
Multi-modal visual tracking based on textual generation187
Review of pixel-level remote sensing image fusion based on deep learning186
Non-readily identifiable data collaboration analysis for multiple datasets including personal information183
Diffusion masked autoencoders as casual-aware curriculum learner for graph out-of-distribution generalization177
Multi-sensor data fusion for smart healthcare: optimizing specialty-based classification of imbalanced EMRs176
Multi-level semantics-aware and multi-granularity knowledge-infused model for emotional support conversation173
Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios172
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey172
Large-scale aerial scene perception based on self-supervised multi-view stereo via cycled generative adversarial network171
Data fabric and digital twins: An integrated approach for data fusion design and evaluation of pervasive systems169
Opinion Evolution Model for Online Reviews from the Perspective of Value Co-creation165
A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunities164
Multimodal and multicontrast image fusion via deep generative models164
Hypergraph facilitated feature fusion of multi-prototype for BRAF mutation prediction of thyroid cancer using cytology slides163
Discovering common information in multi-view data157
CASI: Context-aware Automatic Semantic Inference by fusing video and network traffic information in industrial control systems156
IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition155
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis153
Adaptive knowledge-augmented multi-domain recommendation with large language models150
MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR149
XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach149
Towards efficient RGB-T semantic segmentation via feature generative distillation strategy148
Smooth representation learning from multi-view data148
A self-supervised data augmentation strategy for EEG-based emotion recognition147
Flare-aware cross-modal enhancement network for multi-spectral vehicle Re-identification140
Long sequence time-series forecasting with deep learning: A survey139
QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis138
Spatio-temporal data fusion framework based on large language model for enhanced prediction of electric vehicle charging demand in smart grid management136
Radar sensor network resource allocation for fused target tracking: A brief review134
Anchor-based multi-view subspace clustering with hierarchical feature descent133
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks129
Cross-attention fusion of graph and MLLM for social relation recognition129
Editorial Board127
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams126
Information fusion in crime event analysis: A decade survey on data, features and models126
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches125
BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion125
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery122
A scalable dynamic ensemble selection using fuzzy hyperboxes122
Fusion-based graph neural networks for synergistic underwater image enhancement121
Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks120
Variational Quantum Linear Solver-based Combination Rules in Dempster–Shafer Theory119
An expertise-based consensus reaching process with probability-hesitant fuzzy preference relations and its application in risk assessment in food industry119
Editorial Board118
Beyond word embeddings: A survey118
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments118
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle117
Stimulating conversation-style emergencies of multi-modal LMs115
SSEFusion: Salient semantic enhancement for multimodal medical image fusion with Mamba and dynamic spiking neural networks115
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks115
MDVul: A semantic-based complex dependency code vulnerability detection using fusion path115
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment113
Fusion of KANO theory and Attention-BiLSTM models for user demand analysis and trend prediction112
Distributed minimum error entropy Kalman filter112
A defocus and similarity attention-based cascaded network for multi-focus and misaligned image fusion112
MVFusion-TSC: A multi-view fusion image-based network for time series classification110
Enhancing train travel time prediction for China–Europe railway express: A transfer learning-based fusion technique110
Unifying clustering and representation learning for unsupervised text analysis: A Bayesian knowledge-enhanced approach108
Recent advances in image dehazing: Formal analysis to automated approaches107
Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability107
Weighted adaptively ensemble clustering method based on fuzzy Co-association matrix107
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations105
Responsible AI in Healthcare: Mitigating Hallucinations and Enhancing Multimodal Fusion - Based Reasoning in Medical Imaging105
Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments103
Spectral-invariant matching network102
A semantic-driven coupled network for infrared and visible image fusion102
Vision-audio multimodal object recognition using hybrid and tensor fusion techniques102
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function101
Multi-source multi-modal domain adaptation101
Conti-Fuse: A novel continuous decomposition-based fusion framework for infrared and visible images101
How people read? Reading preference-inspired multimodal NER with heterogeneous mining and iterative fusion engine101
FedEGL: Edge-assisted federated graph learning99
Cross-modal guiding attention for RGBT tracking99
Distributed estimation for multi-sensor networked stochastic uncertain systems with correlated noises under a general stochastic communication protocol99
PCHT-GAN: Physics-guided adaptive fusion with dynamic low-rank attention for pipeline leak diagnosis under imbalanced data98
Multimodal manifold learning using kernel interpolation along geodesic paths97
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification97
Advancing crowd forecasting with graphs across microscopic trajectory to macroscopic dynamics97
Auxiliary diagnosis of depression in youth based on 3D-CBSResNet12 and multi-modal fusion strategy96
Collaborative DDoS defense for SDN-based AIoT with autoencoder-enhanced federated learning96
An effective and robust shadowed granular ball generation method in classification problems94
Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection92
SAFedHDM: Semi-asynchronous federated learning with highlight diffusion model for medical image segmentation92
FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification91
SPGFusion: Semantic Prior Guided Infrared and visible image fusion via pretrained vision models91
Multi-view graph imputation network89
Neighbor-aware deep multi-view clustering via graph convolutional network89
Interpretable research of fuzzy methods: A literature survey89
A survey on semantic processing techniques88
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction88
MST-GAT: A multi-perspective spatial-temporal graph attention network for multi-sensor equipment remaining useful life prediction88
Deep learning for hyperspectral image classification: A comprehensive review and future predictions87
Hallucination-resistant multimodal content generation through knowledge graph-based reinforcement learning87
A generation model of math word problem solution via kernel mean dynamic aggregation and dual-decoder synergy fusion87
Deep multi-view clustering: A comprehensive survey of the contemporary techniques87
Trusted Multi-Factor Fusion: A Quantitative Model for the Confidence of Naturalistic Stimuli and Multimodal Neural Responses87
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom86
A survey on multi-label feature selection from perspectives of label fusion86
Deep learning techniques for hand vein biometrics: A comprehensive review86
Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecasting86
A systematic review for artificial intelligence-driven assistive technologies to support children with neurodevelopmental disorders85
Multimodal uncertainty state-space fusion network with generative endmember modeling for hyperspectral unmixing85
Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review85
Diff-IF: Multi-modality image fusion via diffusion model with fusion knowledge prior85
ODEFTC: Optimal Distributed Estimation based on Fixed-Time Consensus85
An adaptive density clustering approach with multi-granularity fusion85
Multitask reinforcement learning with metadata-guided adaptive routing85
PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction84
Optimal resources allocation to support the consensus reaching in group decision making84
Cross-modal text and visual generation: A systematic review. Part 1: Image to text83
Towards enhanced LLM pretraining: Dynamic checkpoint merging via generation quality82
Denoising diffusion fusion network for semantic segmentation based on degradation analysis modeling with graph networks81
Adaptive online continual multi-view learning80
Distributed fusion filtering for multi-rate nonlinear systems with binary measurements under encryption and decryption scheme80
Triple-supervised progressive contrastive learning for heterogeneous graph embedding80
Parasite: planting durable backdoors against continual federated model fusion via discriminative feature pushing-pulling80
Editorial Board80
Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information80
Robust tensor ring-based graph completion for incomplete multi-view clustering79
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years79
PHDEA4SR: Enhancing sequential recommendation with periodicity and high-order dependencies79
Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation: A case study in mango fruit ripeness prediction78
Spatio-temporal visual learning for home-based monitoring78
FBMTO: Fusion of Blockchain and Multi-Agent Reinforcement Learning for Task Offloading in edge computing78
When causality meets missing data: Fusing key information to bridge causal discovery and imputation in time series via bidirectional meta-learning78
A distributed state and fault estimation scheme for state-saturated systems with quantized measurements over sensor networks77
Imputation of missing values in multi-view data77
Multi-agent reinforcement learning framework based on information fusion biometric ticketing data in different public transport modes77
WAVAE: A Weakly Augmented Variational Autoencoder for Time Series Anomaly Detection76
Paving the way with machine learning for seamless indoor–outdoor positioning: A survey76
Large-scale group hierarchical DEMATEL method with automatic consensus reaching76
Structure-aware multi-view image inpainting using dual consistency attention76
Automatic speech recognition using advanced deep learning approaches: A survey75
Entropy-regulated cross-modal generative fusion for multimodal network intrusion detection75
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning75
LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling75
Aggregate twice more efficiently: Dual feature aggregation transformer for medical image segmentation74
A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity74
Knowledge graph clustering and dual strategies for adaptive mechanism in large-scale group decision making73
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images73
Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective73
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation73
A multimodal–multitask framework with cross-modal relation and hierarchical interactive attention for semantic comprehension73
Efficient Multispectral Object Detection with attentive feature aggregation leveraging zero-shot implicit illumination guidance72
Sparse robust subspace learning via boolean weight72
TVT-Transformer: A Tactile-visual-textual fusion network for object recognition71
Distributed estimation for uncertain systems subject to measurement quantization and adversarial attacks71
A deep multimodal network for multi-task trajectory prediction71
An adaptive consensus model for multi-criteria sorting under linguistic distribution group decision making considering decision-makers’ attitudes71
AMGNet: Adaptive multi-granularity decoupling network for multimodal sarcasm detection71
Multitask learning for multilingual intent detection and slot filling in dialogue systems71
Consensus adjustment mechanism in view of coalition structure-based cooperative game for group decision making with distribution linguistic preference relations71
Listening and seeing again: Generative error correction for audio-visual speech recognition71
Transformers and large language models for efficient intrusion detection systems: A comprehensive survey70
Artificial intelligence for cybersecurity: Literature review and future research directions70
Machine learning for modelling unstructured grid data in computational physics: A review70
Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data70
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites70
IFIFusion: A independent feature information fusion model for surface defect detection70
MBUDet: Misaligned bimodal UAV target detection via target offset label generation70
MM-InstructEval: Zero-shot evaluation of (Multimodal) Large Language Models on multimodal reasoning tasks69
Balancing light and shadow: Multi-modal image exposure restoration via frequency-phase-driven RGB-IR integration69
Editorial Board69
Modality translation-based multimodal sentiment analysis under uncertain missing modalities69
RA-MD: An RKHS-based adaptive Mahalanobis distance to enhance counterfactual explanations for neural networks69
Semi-Supervised Majority Voting for crowdsourcing69
Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances68
Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening68
Ask and Ye shall be Answered: Bayesian tag-based collaborative recommendation of trustworthy experts over time in community question answering68
FL-CTIF: A federated learning based CTI framework based on information fusion for secure IIoT68
ADFusion: Multi-modal adaptive deep fusion for cancer subtype prediction67
PreciseVideo: a dual-process framework for zero-shot text-to-video generation with quantitative content control67
Bridging the sim-to-real gap in RF localization with large-scale synthetic pretraining67
A novel context-aware retrieval framework for biomedical knowledge integration with large language models67
Hierarchical cross-module knowledge transfer based on structural multi-view least squares support vector classification67
Light-weight monocular depth estimation via transformer-fusion for monocular visual SLAM66
ChatAssistDesign: A language-interactive framework for iterative vector floorplan generation via conditional diffusion66
ADF-OCT: An advanced Assistive Diagnosis Framework for study-level macular optical coherence tomography66
Deep reinforcement learning in agent-based simulations for optimal media planning66
A multi-resolution fusion approach for human activity recognition from video data in tiny edge devices66
Verifying energy generation via edge LLM for web3-based decentralized clean energy networks65
Matrix decomposition approaches for mutual information approximation with applications to covariance intersection techniques65
TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting64
MV-BMR: A real-time Motion and Vision Sensing Integration based Agile Badminton Robot64
Generating evolving region embedding with memory-based graph for dynamic urban sensing64
Logic Augmented Multi-Decision Fusion Framework for Stance Detection on Social Media64
Resolving multimodal ambiguity via knowledge-injection and ambiguity learning for multimodal sentiment analysis64
MammoVLM: A generative large vision–language model for mammography-related diagnostic assistance63
Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning63
Multi-modal detection of fetal movements using a wearable monitor63
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams63
PointExplainer: Towards transparent Parkinson’s disease diagnosis63
Enhanced Minimum-Cost Consensus: Focusing on Overadjustment and Flexible Consensus Cost63
Knowledge-Flow Contrastive Learning for recommendation63
Human activity recognition using binary sensors: A systematic review62
RGB-D Domain adaptive semantic segmentation with cross-modality feature recalibration62
Embodied intelligence for 3D understanding: A survey on 3D Scene question answering62
Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context62
PGA-DRL: Progressive graph attention-based deep reinforcement learning for recommender systems62
Distributed event-triggered fusion estimation for networked asynchronous multi-rate systems61
A quaternion-based sensor fusion approach using orthogonal observations from 9D inertial and magnetic information61
Information loss challenges in surgical navigation systems: From information fusion to AI-based approaches61
Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects61
Generalist models in medical image segmentation: A survey and performance comparison with task-specific approaches61
Quantum entanglement and self-attention neural networks: An investigation into passengers and stops characteristics for optimal bus stop localization60
Multimodal sensor fusion models for real-time exercise repetition counting with IMU sensors and respiration data60
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution59
SGDFormer: One-stage transformer-based architecture for cross-spectral stereo image guided denoising59
Dual-attentional time-aware fusion networks for knowledge tracing59
Knowledge representation and reasoning using interconnected uncertain rules for describing workflows in complex systems59
Integrating imprecise data in generative models using interval-valued Variational Autoencoders59
Machine learning meets advanced robotic manipulation59
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