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 2020-04-01 to 2024-04-01.)
ArticleCitations
Billion-Scale Similarity Search with GPUs772
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network236
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems121
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification101
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing81
A Big Data Enabled Channel Model for 5G Wireless Communication Systems75
Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing72
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak71
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources70
Federated Forest69
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis69
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations67
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users65
Data-Driven Web APIs Recommendation for Building Web Applications65
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems64
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery61
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation58
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory54
Dynamics of Public Opinions in an Online and Offline Social Network54
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature52
Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model43
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices42
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems42
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-1937
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements37
Urban Anomaly Analytics: Description, Detection, and Prediction36
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices36
B4SDC: A Blockchain System for Security Data Collection in MANETs36
WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features34
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems33
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data33
Hyperbolic Graph Attention Network32
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud32
National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment30
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks27
Multi-View Clustering With Self-Representation and Structural Constraint26
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors26
Identity-Based Dynamic Data Auditing for Big Data Storage24
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing24
Hierarchical Density-Based Clustering Using MapReduce24
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data24
Towards Matching User Mobility Traces in Large-Scale Datasets23
semi-Traj2Graph: Identifying Fine-grained Driving Style with GPS Trajectory Data via Multi-task Learning22
Incremental Deep Computation Model for Wireless Big Data Feature Learning22
Big Data Privacy in Biomedical Research22
Extracting Medical Knowledge from Crowdsourced Question Answering Website22
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System22
Mining Deep Semantic Representations for Scene Classification of High-Resolution Remote Sensing Imagery22
LSTM Based Phishing Detection for Big Email Data22
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid22
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain21
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing21
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation21
Country Image in COVID-19 Pandemic: A Case Study of China21
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction21
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud20
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances20
Collaborative Filtering With Network Representation Learning for Citation Recommendation20
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data20
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries20
Forecasting People’s Needs in Hurricane Events from Social Network20
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing19
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning19
Personalized Federated Learning with Adaptive Batchnorm for Healthcare19
Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants19
Kira: Processing Astronomy Imagery Using Big Data Technology19
Active and Semi-Supervised Graph Neural Networks for Graph Classification19
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets18
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data18
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder17
K-Nearest Neighbor Search by Random Projection Forests17
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location17
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search17
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems17
Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices17
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic17
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast16
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering16
Privacy-Preserving Aggregation in Federated Learning: A Survey16
Representation and Reinforcement Learning for Task Scheduling in Edge Computing15
Multi-Label Graph Convolutional Network Representation Learning15
Integrating Data and Model Space in Ensemble Learning by Visual Analytics15
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection14
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing14
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems14
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction14
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation14
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network14
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation13
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data13
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning13
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks13
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks13
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid13
Understanding the Users and Videos by Mining a Novel Danmu Dataset13
Fusing Location Data for Depression Prediction13
IEMask R-CNN: Information-Enhanced Mask R-CNN13
TUSQ: Targeted High-Utility Sequence Querying12
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join11
Exploring Multi-Dimension User-Item Interactions With Attentional Knowledge Graph Neural Networks for Recommendation11
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams11
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs11
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition11
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform11
MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme11
An overview of healthcare data analytics with applications to the COVID-19 pandemic11
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems11
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis10
Towards Efficient Local Causal Structure Learning10
Large-Scale Data Pollution with Apache Spark10
Survey and Analysis of Current End-User Data Analytics Tool Support10
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks10
FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels10
Predicting Fine-Grained Air Quality Based on Deep Neural Networks10
Citywide Traffic Volume Inference with Surveillance Camera Records10
Deadline-Aware Cost Optimization for Spark10
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective10
Benchmarking Blocking Algorithms for Web Entities10
0.047711849212646