IEEE Transactions on Big Data

Papers
(The median citation count of IEEE Transactions on Big Data is 3. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
A Query-Aware Method for Approximate Range Search in Hamming Space304
A Structured Approach Towards Big Data Identification234
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach120
A novel concept-cognitive learning model oriented to three-way concept for knowledge acquisition107
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT87
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization86
Using Construction Waste Hauling Trucks' GPS Data to Classify Earthwork-Related Locations: A Chengdu Case Study85
FIFA: A Forest-based Sliding Window Aggregation Scheme for Out-of-Order Data Streams84
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning82
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models68
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection68
Mining Stable Communities in Temporal Networks by Density-Based Clustering66
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection64
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning59
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data56
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree52
On the Convergence of Federated Learning Algorithms Without Data Similarity51
Cosine Multilinear Principal Component Analysis for Recognition49
Determination of the Number of Clusters in High-Dimensional Data with Subspace Clusters49
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections46
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks46
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation45
Towards Fraud Detection via Fine-Grained Classification of User Behavior44
Research of Federated Learning Application Methods and Social Responsibility43
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection42
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems42
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization42
IEMask R-CNN: Information-Enhanced Mask R-CNN42
Automatic Recognition of Cyberbullying in the Web of Things and social media using Deep Learning Framework41
Higher-order Community Detection by Motif-based Modularity Optimization39
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification38
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare38
System Identification With Fourier Transformation for Long-Term Time Series Forecasting36
Verifiable and Privacy-Preserving k-NN Query Scheme With Multiple Keys35
DTWformer: a DTW-Based Transformer for Multivariate Time Series Forecasting35
Differential Modal Multistage Adaptive Fusion Networks via Knowledge Distillation for RGB-D Mirror Segmentation35
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems35
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review34
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition34
Use of Transfer Learning for Affordable In-Context Fake Review Generation33
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification33
AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification33
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference33
Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models32
Data-Driven Web APIs Recommendation for Building Web Applications31
Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise31
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation30
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems29
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data29
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT29
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems28
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection28
Hierarchical Lifelong Machine Learning With “Watchdog”28
Boosting Encrypted Traffic Classification Using Feature-Enhanced Recurrent Neural Network With Angle Constraint27
Data Exchange for the Metaverse with Accountable Decentralized TTPs and Incentive Mechanisms27
Attention-Based Complex Logical Query on Temporal Knowledge Graph via Graph Neural Network26
Fine-Tuned Personality Federated Learning for Graph Data25
Multi-View Clustering With Self-Representation and Structural Constraint25
A Comprehensive Image Protection Framework Based on High-Capacity Adversarial Data Hiding24
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks24
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis24
Intent-Driven Semantic Query: An Effective Approach for Temporal Knowledge Graph Query24
Weak Supervision Learning for Object Co-Segmentation23
Efficiently Transfer User Profile Across Networks23
Decentralized Federated Learning: A Survey on Security and Privacy23
Streaming Local Community Detection Through Approximate Conductance23
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation23
A Federated Convolution Transformer for Fake News Detection22
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection21
Heterogeneous Social Event Detection via Hyperbolic Graph Representations21
Topology-based Node-level Membership Inference Attacks on Graph Neural Networks21
RGSE: Robust Graph Structure Embedding for Anomalous Link Detection21
Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem20
Practical Attribute Reconstruction Attack Against Federated Learning20
Computing Significant Cliques in Large Labeled Networks20
Fast Multi-View Outlier Detection via Deep Encoder20
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs20
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods19
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering19
Distributed Sparse Class-Imbalance Learning and Its Applications18
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data18
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing18
Efficient Asynchronous Multi-Participant Vertical Federated Learning18
Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting18
Information Switching Patterns of Risk Communication in Social Media During Disasters18
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace18
AugGPT: Leveraging ChatGPT for Text Data Augmentation18
Uncovering Local Hierarchical Overlapping Communities at Scale18
Multi-Dimensional Data Recovery via Feature-Based Fully-Connected Tensor Network Decomposition18
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation17
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems17
Efficient and Privacy-Preserving Aggregate Query Over Public Property Graphs17
Multi-Label Graph Convolutional Network Representation Learning16
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-rays and CT Scans via Parallel and Cross-Attended Encoders16
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics16
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications16
Revocable DSSE in Healthcare Systems with Range Query Support16
Self-Attention Graph Convolution Residual Network for Traffic Data Completion16
eBoF: Interactive Temporal Correlation Analysis for Ensemble Data Based on Bag-of-Features16
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning16
Higher-Order Smoothness Enhanced Graph Collaborative Filtering15
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images15
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors15
An Overall Evaluation on Benefits of Competitive Influence Diffusion15
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm15
GGNN: Graph-Based GPU Nearest Neighbor Search15
Efficient Interactive Global Cellular Signal Strength Visualization15
Optimizing Deduplication Parameters via a Change-Estimation Analytical Model15
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI14
GTPool: Graph Transformer Pooling with Diverse Sampling14
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database14
Improved Gradient Inversion Attacks and Defenses in Federated Learning14
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation13
Portraying Fine-grained Tenant Portrait for Churn Prediction using Semi-supervised Graph Convolution and Attention Network13
Cepe-FL: Communication-efficient and Privacy-enhanced Federated Learning via Adaptive Compressive Sensing13
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization13
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index13
Efficient Learned Spatial Index With Interpolation Function Based Learned Model13
Towards the Inference of Travel Purpose with Heterogeneous Urban Data13
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation13
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network13
GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection13
Multiscale Feature-Guided Adversarial Examples Quality Assessment via Hierarchical Perception of Human Visual System12
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder12
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization12
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes12
Identity-Based Dynamic Data Auditing for Big Data Storage12
Spatio-Temporal Transformer Network for Weather Forecasting12
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction11
Distributed Dual Averaging Based Data Clustering11
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification11
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection with Adaptive Diffusion Models11
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing11
Identification of Communities With Multi-Semantics via Bayesian Generative Model11
TAG: Triple Alignment with Rationale Generation for Knowledge-based Visual Question Answering11
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic11
Big Data for the Social Good: The Drought Early-Warning Experience Report10
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy10
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications10
Efficient and Tractable Conflict Detection in Knowledge Graphs via Path Analysis10
Towards Enhancing Inter-Domain Routing Security With Visualization and Visual Analytics10
Generative-Contrastive Heterogeneous Graph Neural Network10
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning10
Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning10
Parallel Overlapping Community Detection Algorithm on GPU10
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph10
Efficient FCTN Decomposition with Structural Sparsity for Noisy Tensor Completion10
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters9
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing9
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery9
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning9
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces9
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System9
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling9
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition9
GCN-ST-MDIR: Graph Convolutional Network-Based Spatial-Temporal Missing Air Pollution Data Pattern Identification and Recovery9
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data9
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks9
HEART: Historically Information Embedding and Subspace Re-Weighting Transformer-Based Tracking9
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies9
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective9
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection8
FIG: Feature-Weighted Information Granules With High Consistency Rate8
DAG-EnseFL: DAG-Based Asynchronous Federated Learning with Ensemble Distillation8
Deep Convolutional Neural Network Based Medical Concept Normalization8
A Survey of Data Pricing for Data Marketplaces8
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming8
Unsupervised Projected Sample Selector for Active Learning8
Self-representation-based Generative Graph Neural Networks for End-to-End Link Prediction8
Can GNNs Learn Link Heuristics? a Concise Review and Evaluation of Link Prediction Methods8
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning8
Scalable Evidential K-Nearest Neighbor Classification on Big Data8
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok8
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph8
Understanding the Users and Videos by Mining a Novel Danmu Dataset8
Multi-Objective Graph Contrastive Learning for Recommendation8
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data8
LSTM Based Phishing Detection for Big Email Data8
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud8
Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models8
Practical Vertical Federated Learning With Unsupervised Representation Learning8
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction8
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange8
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions8
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach8
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding8
Robust Semi-Supervised Deep Nonnegative Matrix Factorization with Constraint Propagation for Data Representation8
FEVERLESS: Fast and Secure Vertical Federated Learning Based on XGBoost for Decentralized Labels8
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications7
Supervised Discrete Multiple-Length Hashing for Image Retrieval7
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning7
Data-Free Knowledge Filtering and Distillation in Federated Learning7
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning7
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares7
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage7
Knowledge Aggregation Transformer Network for Multivariate Time Series Classification7
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion7
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding7
Towards an Energy Complexity Model for Distributed Data Processing Algorithms7
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach7
AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability7
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data7
scProGraph: a cell bagging strategy for cell type annotation with gene interaction-aware explainability7
Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices6
Emulating Reader Behaviors for Fake News Detection6
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models6
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation6
Editorial High-Performance Recommender Systems Based on Spatiotemporal Data6
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs6
Training Large-Scale Graph Neural Networks via Graph Partial Pooling6
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing6
Utility-driven Data Analytics Algorithm for Transaction Modifications Using Pre-large Concept with Single Database Scan6
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System6
Stable Learning via Dual Feature Learning6
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities6
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings6
Large Language Models for Link Stealing Attacks Against Graph Neural Networks6
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs6
MinoRare: Handling Rare Minority Instances in Imbalanced and Drifting Data Streams through Adaptive Instance Weighting Scheme6
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift6
Data-Centric Graph Learning: A Survey5
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification5
Learning From Crowds Using Graph Neural Networks With Attention Mechanism5
zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning5
Tailored Definitions With Easy Reach: Complexity-Controllable Definition Generation5
Self-Guided Graph Refinement with Progressive Fusion for Multiplex Graph Contrastive Representation Learning5
3A Multi-Classification Division-Aggregation Framework for Fake News Detection5
LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus5
Noiseless Privacy: Definition, Guarantees, and Applications5
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach5
A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing5
A Multiplex Hypergraph Attribute-based Graph Collaborative Filtering for Cold-start POI Recommendation5
TgStore: An Efficient Storage System for Large Time-Evolving Graphs5
How to Protect Ourselves From Overlapping Community Detection in Social Networks5
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records5
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data5
Robust Joint Graph Learning for Multi-View Clustering5
BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning4
Visual Analysis of Multidimensional Big Data: A Scalable Lightweight Bundling Method for Parallel Coordinates4
Sentences based Adversarial Attack on AI-Generated Text Detectors4
DucDiff: Dual-consistent Diffusion for Uncertainty-aware Information Diffusion Prediction4
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models4
TUSQ: Targeted High-Utility Sequence Querying4
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership4
Optimizing Keyword Search Over Federated RDF Systems4
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System4
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability4
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction4
Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention4
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation4
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