IEEE Transactions on Big Data

Papers
(The median citation count of IEEE Transactions on Big Data is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation1252
Digital Twin Data Management: A Comprehensive Review289
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning180
A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models99
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation97
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models85
Efficient Interactive Global Cellular Signal Strength Visualization81
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing80
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism79
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares62
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks60
Relaxed Locality Preserving Supervised Discrete Hashing60
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data59
An Overall Evaluation on Benefits of Competitive Influence Diffusion50
A Structured Approach Towards Big Data Identification44
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT42
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data42
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification40
Efficient Learned Spatial Index With Interpolation Function Based Learned Model40
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning40
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System39
Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices39
Novel Multi-Feature Fusion Facial Aesthetic Analysis Framework37
Cloud Computing Assisted Mobile Healthcare Systems Using Distributed Data Analytic Model36
Improved Gradient Inversion Attacks and Defenses in Federated Learning34
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift33
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning32
Online Heterogeneous Streaming Feature Selection Without Feature Type Information31
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database31
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning31
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection31
Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit31
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index30
A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data30
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree30
Harnessing the Power of Local Supervision in Federated Learning30
LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR30
Data-Free Knowledge Filtering and Distillation in Federated Learning30
Training Large-Scale Graph Neural Networks via Graph Partial Pooling29
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach29
Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments28
Debiased Cross Contrastive Quantization for Unsupervised Image Retrieval27
AKGNN: Attribute Knowledge Graph Neural Networks Recommendation for Corporate Volunteer Activities27
Higher-Order Smoothness Enhanced Graph Collaborative Filtering27
Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification27
Multi-granularity Feature Interaction and Multi-region Selection based Triplet Visual Question Answering24
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models24
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization23
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models23
Towards Dynamic Verifiable Pattern Matching23
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion23
Multi-Relation Extraction via A Global-Local Graph Convolutional Network22
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data22
Emulating Reader Behaviors for Fake News Detection22
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories22
Modeling and Visualizing Student Flow22
Stark: Fast and Scalable Strassen’s Matrix Multiplication Using Apache Spark21
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search21
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization21
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series21
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph20
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets20
To Your Surprise: Identifying Serendipitous Collaborators20
Managing Big Interval Data with CINTIA: The Checkpoint INTerval Array20
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams20
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform20
Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates19
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm19
Self-Guided Graph Refinement with Progressive Fusion for Multiplex Graph Contrastive Representation Learning19
Portraying Fine-grained Tenant Portrait for Churn Prediction using Semi-supervised Graph Convolution and Attention Network19
Stable Learning via Dual Feature Learning18
A Query-Aware Method for Approximate Range Search in Hamming Space18
Accurate Network Alignment via Consistency in Node Evolution18
Effective Personalized Search With Heterogeneous Graph Based Hawkes Process18
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory18
Mining Stable Communities in Temporal Networks by Density-Based Clustering18
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities18
Local High-Order Graph Learning for Multi-View Clustering17
Robust Joint Graph Learning for Multi-View Clustering17
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings17
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation17
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network16
Learning-Based Distributed Spatio-Temporal k Nearest Neighbors Join16
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning16
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images16
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph16
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets15
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs15
Large Language Models for Link Stealing Attacks Against Graph Neural Networks15
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs15
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation15
Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization15
Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems15
AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction with Biased and Isolated Data15
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting15
Billion-Scale Similarity Search with GPUs15
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection14
AGE: Age-Gender Effect on Faculty Career Progression in American Universities14
A novel concept-cognitive learning model oriented to three-way concept for knowledge acquisition14
x-ECON: Explainable Event-Consumption Commonsense Reasoning14
Utility-driven Data Analytics Algorithm for Transaction Modifications Using Pre-large Concept with Single Database Scan14
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning13
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization13
ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense13
DBNetVizor: Visual Analysis of Dynamic Basketball Player Networks13
System Identification With Fourier Transformation for Long-Term Time Series Forecasting13
On the Convergence of Federated Learning Algorithms Without Data Similarity13
Worker Similarity-Based Label Completion for Crowdsourcing13
Causal Feature Selection With Efficient Spouses Discovery13
Imperceptible Physical Attack Against Face Recognition Systems via LED Illumination Modulation13
IEMask R-CNN: Information-Enhanced Mask R-CNN12
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection11
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction11
Secret Specification Based Personalized Privacy-Preserving Analysis in Big Data11
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision11
2021 Index IEEE Transactions on Big Data Vol. 711
Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System11
Maximal Quasi-Cliques Mining in Uncertain Graphs11
Enhancing the Transferability of Adversarial Examples with Random Diversity Ensemble and Variance Reduction Augmentation11
Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation10
A Privacy-preserving Large-scale Image Retrieval Framework with Vision GNN Hashing10
Cepe-FL: Communication-efficient and Privacy-enhanced Federated Learning via Adaptive Compressive Sensing10
How to Protect Ourselves From Overlapping Community Detection in Social Networks10
An End-to-End Approach for Graph-Based Multi-View Data Clustering10
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding10
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-1910
Distributed Dual Averaging Based Data Clustering9
Scalable Distributed Data Anonymization for Large Datasets9
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis9
Noiseless Privacy: Definition, Guarantees, and Applications9
Research of Federated Learning Application Methods and Social Responsibility9
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data9
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic9
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder9
UGCC: Social Media User Geolocation via Cyclic Coupling9
Reliable Data Augmented Contrastive Learning for Sequential Recommendation8
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation8
Federated Meta Embedding Concept Stock Recommendation8
Accelerating Blockchain-Enabled Federated Learning with Clustered Clients8
LBFL: A Lightweight Blockchain-based Federated Learning Framework with Proof-of-Contribution Committee Consensus8
Cosine Multilinear Principal Component Analysis for Recognition8
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review8
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network8
Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database8
Domain Adaptation for Label Distribution Learning8
Verifiable and Privacy-Preserving $k$-NN Query Scheme with Multiple Keys8
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records8
Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting8
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare8
Mixup Virtual Adversarial Training for Robust Vision Transformers8
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems7
DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations7
Where Shall We Go: Point-of-Interest Group Recommendation With User Preference Embedding7
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks7
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing7
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network7
Towards Fraud Detection Via Fine-Grained Classification of User Behavior7
Data-Centric Graph Learning: A Survey7
Neurally-Guided Semantic Navigation in Knowledge Graph7
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification7
Multiscale Feature-guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System7
Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections7
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation7
Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns7
Towards the Inference of Travel Purpose with Heterogeneous Urban Data7
Generalized Time Series Classification via Component Decomposition and Alignment6
TgStore: An Efficient Storage System for Large Time-Evolving Graphs6
Learning From Crowds Using Graph Neural Networks With Attention Mechanism6
A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment6
To Write or Not to Write as a Machine? That's the Question6
A Multiplex Hypergraph Attribute-based Graph Collaborative Filtering for Cold-start POI Recommendation6
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks6
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation6
Identity-Based Dynamic Data Auditing for Big Data Storage6
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation6
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems6
Spatio-Temporal Transformer Network for Weather Forecasting6
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network6
Higher-order Community Detection by Motif-based Modularity Optimization6
A Collaborative Network-Based Retrieval Model for Open Source Domain Experts6
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective6
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework6
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach6
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis6
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization6
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines6
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition6
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning5
3A Multi-Classification Division-Aggregation Framework for Fake News Detection5
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data5
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph5
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference5
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning5
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data5
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction5
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes5
Use of transfer learning for affordable in-context fake review generation5
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data5
Big Data for the Social Good: The Drought Early-Warning Experience Report5
Improved Box Embeddings for Fine-Grained Entity Typing5
Application of Mathematical Optimization in Data Visualization and Visual Analytics: A Survey5
Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation5
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data5
zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning5
Regularized Spectral Clustering With Entropy Perturbation5
Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network5
Accelerating Vertical Federated Learning5
Dense or Sparse : Elastic SPMM Implementation for Optimal Big-Data Processing5
BL: An Efficient Index for Reachability Queries on Large Graphs5
MarS-FL: Enabling Competitors to Collaborate in Federated Learning5
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users4
Online News-Based Economic Sentiment Index4
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study4
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling4
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data4
Efficient Forward and Backward Private Conjunctive Searchable Encryption with Comprehensive Verification4
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks4
Is Split Learning Privacy-Preserving for Fine-Tuning Large Language Models?4
Towards Enhancing Inter-Domain Routing Security with Visualization and Visual Analytics4
Ranking Neighborhood and Class Prototype Contrastive Learning for Time Series4
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning4
Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval4
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization4
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning4
Restoration of Recaptured Screen Images with A Divide and Conquer Strategy4
Cost-Aware Triangle Counting over Geo-Distributed Datacenters4
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification4
Distilling Fair Representations From Fair Teachers4
Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study4
Graph Contrastive Learning for Clustering of Multi-Layer Networks4
Denoising Neural Relation Extraction for Spatio-temporal Recommendation System4
Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels4
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks4
Anomaly Detection in Multi-Level Model Space3
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs3
2024 Reviewers List*3
FuzzyPPI: Large-Scale Interaction of Human Proteome at Fuzzy Semantic Space3
Comprehensive Architecture Search for Deep Graph Neural Networks3
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species3
MSST: Multi-Scale Spatial-Temporal Representation Learning for Trajectory Similarity Computation3
Efficient Graph Processing with Invalid Update Filtration3
Multi-view Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction3
A Data-Centric $\ell$-Diversity Model for Securely Publishing Personal Data With Enhanced Utility3
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification3
DAWN: Domain Generalization Based Network Alignment3
Active and Semi-Supervised Graph Neural Networks for Graph Classification3
Data-Driven Web APIs Recommendation for Building Web Applications3
Identification of Communities With Multi-Semantics via Bayesian Generative Model3
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications3
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing3
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