IEEE Transactions on Big Data

Papers
(The TQCC of IEEE Transactions on Big Data is 10. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A Structured Approach Towards Big Data Identification272
A Query-Aware Method for Approximate Range Search in Hamming Space136
A Novel Concept-Cognitive Learning Model Oriented to Three-Way Concept for Knowledge Acquisition130
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach115
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data113
A Fast Linearithmic Graph Clustering Approach for Big Data Using Gravitational Attraction Principle90
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT88
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization87
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection86
Using Construction Waste Hauling Trucks’ GPS Data to Classify Earthwork-Related Locations: A Chengdu Case Study83
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification82
A High-throughput Method for Fabric in Scenarios with Multiple Aborted Transactions82
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning76
FIFA: A Forest-Based Sliding Window Aggregation Scheme for Out-of-Order Data Streams67
Mining Stable Communities in Temporal Networks by Density-Based Clustering61
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning55
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection53
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree53
On the Convergence of Federated Learning Algorithms Without Data Similarity53
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models53
DTWformer: A DTW-Based Transformer for Multivariate Time Series Forecasting52
Higher-Order Community Detection by Motif-Based Modularity Optimization52
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare51
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems50
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections50
Towards Fraud Detection via Fine-Grained Classification of User Behavior50
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation49
Cosine Multilinear Principal Component Analysis for Recognition49
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework46
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation46
System Identification With Fourier Transformation for Long-Term Time Series Forecasting44
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition43
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks42
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization41
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters41
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data41
Verifiable and Privacy-Preserving k-NN Query Scheme With Multiple Keys40
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems40
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review39
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection39
IEMask R-CNN: Information-Enhanced Mask R-CNN39
Research of Federated Learning Application Methods and Social Responsibility38
Use of Transfer Learning for Affordable In-Context Fake Review Generation38
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise38
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference37
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification36
Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models35
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection34
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data33
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT32
Data-Driven Web APIs Recommendation for Building Web Applications32
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification32
Multi-View Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation32
Hierarchical Lifelong Machine Learning With “Watchdog”31
RAT: R esidual A ttention T ransformer for Tabular Data31
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems31
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms29
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint29
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network29
Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query29
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems28
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation27
A Comprehensive Image Protection Framework Based on High-Capacity Adversarial Data Hiding27
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis27
Fine-Tuned Personality Federated Learning for Graph Data27
Decentralized Federated Learning: A Survey on Security and Privacy25
Multi-View Clustering With Self-Representation and Structural Constraint25
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks25
Two-Step Nyström Sampling for Large-scale Kernel Approximation24
Streaming Local Community Detection Through Approximate Conductance24
Weak Supervision Learning for Object Co-Segmentation24
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks24
A Federated Convolution Transformer for Fake News Detection24
Efficiently Transfer User Profile Across Networks24
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection24
Information Switching Patterns of Risk Communication in Social Media During Disasters23
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing23
Dual-channel Learning Framework for miRNA-drug Interaction Prediction Based on Structural Features and Signed Bipartite Graph Neural Network23
Computing Significant Cliques in Large Labeled Networks22
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem22
Heterogeneous Social Event Detection via Hyperbolic Graph Representations22
Efficient Asynchronous Multi-Participant Vertical Federated Learning22
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs22
Practical Attribute Reconstruction Attack Against Federated Learning21
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data21
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection21
Fast Multi-View Outlier Detection via Deep Encoder21
Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition20
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics20
CAPTOR: Cyber Attack Protection via Temporal Online Graph Representation Learning20
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering20
Uncovering Local Hierarchical Overlapping Communities at Scale20
AugGPT: Leveraging ChatGPT for Text Data Augmentation20
Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs19
GBDE: Granular-Ball Textual Adversarial Attacks With Differential Evolution19
Optimizing Deduplication Parameters via a Change-Estimation Analytical Model19
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders19
Revocable DSSE in Healthcare Systems With Range Query Support19
GGNN: Graph-Based GPU Nearest Neighbor Search18
Multi-Label Graph Convolutional Network Representation Learning18
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features18
Self-Attention Graph Convolution Residual Network for Traffic Data Completion17
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting17
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications17
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems17
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning17
Substructure-Aware Graph Representation Learning via Adaptive Node Absorbing17
Generation of Hard SAT Instances and Its Application in Negative Databases for Privacy Enhancement17
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors17
Higher-Order Smoothness Enhanced Graph Collaborative Filtering16
Efficient Interactive Global Cellular Signal Strength Visualization16
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database16
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation16
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI16
Portraying Fine-Grained Tenant Portrait for Churn Prediction Using Semi-Supervised Graph Convolution and Attention Network16
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation16
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm16
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index16
GTPool: Graph Transformer Pooling With Diverse Sampling16
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization15
Improved Gradient Inversion Attacks and Defenses in Federated Learning15
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images15
Towards the Inference of Travel Purpose with Heterogeneous Urban Data15
An Overall Evaluation on Benefits of Competitive Influence Diffusion15
Efficient Learned Spatial Index With Interpolation Function Based Learned Model15
Multiscale Feature-Guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System15
GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection14
Distributed Dual Averaging Based Data Clustering14
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing14
Cepe-FL: Communication-Efficient and Privacy-Enhanced Federated Learning Via Adaptive Compressive Sensing14
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes14
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network14
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic14
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization14
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection With Adaptive Diffusion Models14
TAG: Triple Alignment with Rationale Generation for Knowledge-based Visual Question Answering14
Identification of Communities With Multi-Semantics via Bayesian Generative Model13
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy13
Spatio-Temporal Transformer Network for Weather Forecasting13
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification13
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder13
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning12
Efficient FCTN Decomposition With Structural Sparsity for Noisy Tensor Completion12
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks12
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics12
Big Data for the Social Good: The Drought Early-Warning Experience Report12
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System12
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters12
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications11
Parallel Overlapping Community Detection Algorithm on GPU11
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing11
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction11
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling11
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data11
Efficient and Tractable Conflict Detection in Knowledge Graphs via Path Analysis11
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning11
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph11
Generative-Contrastive Heterogeneous Graph Neural Network11
LSTM Based Phishing Detection for Big Email Data10
Blockchain-Empowered Federated Learning: Benefits, Challenges, and Solutions10
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph10
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery10
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery10
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition10
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies10
CLIP2LE: A Label Enhancement Fair Representation Method via CLIP10
Deep Convolutional Neural Network Based Medical Concept Normalization10
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective10
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning10
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange10
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces10
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking10
Understanding the Users and Videos by Mining a Novel Danmu Dataset10
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