Information Fusion

Papers
(The TQCC of Information Fusion is 26. 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
From attributes to natural language: A survey and foresight on text-based person re-identification297
MultiBEATS: Blocks of eigenvalues algorithm for multivariate time series dimensionality reduction297
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
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey172
Scalable data fusion via a scale-based hierarchical framework: Adapting to multi-source and multi-scale scenarios172
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
XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach149
MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR149
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
Cross-attention fusion of graph and MLLM for social relation recognition129
Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks129
Editorial Board127
Information fusion in crime event analysis: A decade survey on data, features and models126
Bringing vision to climate: A hierarchical model for water depth monitoring in headwater streams126
BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion125
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches125
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
An expertise-based consensus reaching process with probability-hesitant fuzzy preference relations and its application in risk assessment in food industry119
Variational Quantum Linear Solver-based Combination Rules in Dempster–Shafer Theory119
Beyond word embeddings: A survey118
Multi-GNSS PPP/INS/Vision/LiDAR tightly integrated system for precise navigation in urban environments118
Editorial Board118
Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle117
SSEFusion: Salient semantic enhancement for multimodal medical image fusion with Mamba and dynamic spiking neural networks115
MDVul: A semantic-based complex dependency code vulnerability detection using fusion path115
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks115
Stimulating conversation-style emergencies of multi-modal LMs115
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
Distributed minimum error entropy Kalman filter112
A defocus and similarity attention-based cascaded network for multi-focus and misaligned image fusion112
Fusion of KANO theory and Attention-BiLSTM models for user demand analysis and trend prediction112
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
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
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function101
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
FedEGL: Edge-assisted federated graph learning99
PCHT-GAN: Physics-guided adaptive fusion with dynamic low-rank attention for pipeline leak diagnosis under imbalanced data98
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
Multimodal manifold learning using kernel interpolation along geodesic paths97
Collaborative DDoS defense for SDN-based AIoT with autoencoder-enhanced federated learning96
Auxiliary diagnosis of depression in youth based on 3D-CBSResNet12 and multi-modal fusion strategy96
An effective and robust shadowed granular ball generation method in classification problems94
SAFedHDM: Semi-asynchronous federated learning with highlight diffusion model for medical image segmentation92
Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection92
SPGFusion: Semantic Prior Guided Infrared and visible image fusion via pretrained vision models91
FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification91
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
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
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
Optimal resources allocation to support the consensus reaching in group decision making84
PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction84
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
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
Adaptive online continual multi-view learning80
Distributed fusion filtering for multi-rate nonlinear systems with binary measurements under encryption and decryption scheme80
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
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
Automatic speech recognition using advanced deep learning approaches: A survey75
A dual mixture-of-experts framework for multi-view K-means clustering with view balance and regional sparsity74
Aggregate twice more efficiently: Dual feature aggregation transformer for medical image segmentation74
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
Knowledge graph clustering and dual strategies for adaptive mechanism in large-scale group decision making73
Efficient Multispectral Object Detection with attentive feature aggregation leveraging zero-shot implicit illumination guidance72
Sparse robust subspace learning via boolean weight72
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
TVT-Transformer: A Tactile-visual-textual fusion network for object recognition71
Distributed estimation for uncertain systems subject to measurement quantization and adversarial attacks71
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
Transformers and large language models for efficient intrusion detection systems: A comprehensive survey70
Artificial intelligence for cybersecurity: Literature review and future research directions70
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
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
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
Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances68
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
ADFusion: Multi-modal adaptive deep fusion for cancer subtype prediction67
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
Matrix decomposition approaches for mutual information approximation with applications to covariance intersection techniques65
Verifying energy generation via edge LLM for web3-based decentralized clean energy networks65
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
TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting64
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
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
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
Human activity recognition using binary sensors: A systematic review62
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
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
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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