OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Transactions on Big Data is 9. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Billion-Scale Similarity Search with GPUs	1021
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network	254
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems	125
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources	117
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing	83
Federated Forest	78
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users	74
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations	73
Data-Driven Web APIs Recommendation for Building Web Applications	73
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory	73
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems	72
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak	69
Dynamics of Public Opinions in an Online and Offline Social Network	58
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature	55
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices	51
Urban Anomaly Analytics: Description, Detection, and Prediction	46
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements	45
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems	43
Hyperbolic Graph Attention Network	43
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors	42
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices	41
B4SDC: A Blockchain System for Security Data Collection in MANETs	40
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19	37
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data	36
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud	35

Privacy-Preserving Aggregation in Federated Learning: A Survey	35
Multi-View Clustering With Self-Representation and Structural Constraint	35
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems	31
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks	30
LSTM Based Phishing Detection for Big Email Data	29
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing	29
Hierarchical Density-Based Clustering Using MapReduce	28
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System	26
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data	26
Identity-Based Dynamic Data Auditing for Big Data Storage	26
Towards Matching User Mobility Traces in Large-Scale Datasets	26
Country Image in COVID-19 Pandemic: A Case Study of China	26
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data	26
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation	26
Collaborative Filtering With Network Representation Learning for Citation Recommendation	25
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder	25
IEMask R-CNN: Information-Enhanced Mask R-CNN	24
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering	24
Active and Semi-Supervised Graph Neural Networks for Graph Classification	24
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets	23
semi-Traj2Graph: Identifying Fine-grained Driving Style with GPS Trajectory Data via Multi-task Learning	23
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain	23
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic	23
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning	23
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries	23
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud	23
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast	22
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid	21
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing	21
Forecasting People’s Needs in Hurricane Events from Social Network	21
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances	20
Representation and Reinforcement Learning for Task Scheduling in Edge Computing	20
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation	20
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection	19
Fusing Location Data for Depression Prediction	19
K-Nearest Neighbor Search by Random Projection Forests	19
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing	19
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location	18
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data	18
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection	18
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems	17
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs	17
Multi-Label Graph Convolutional Network Representation Learning	17
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks	17
Predicting Fine-Grained Air Quality Based on Deep Neural Networks	17
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network	17
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing	15
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction	15
A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas	15
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems	15

MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph	15
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation	15
Integrating Data and Model Space in Ensemble Learning by Visual Analytics	15
TUSQ: Targeted High-Utility Sequence Querying	15
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search	15
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection	15
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join	14
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams	14
Supervised Discrete Multiple-Length Hashing for Image Retrieval	14
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective	14
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks	14
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid	14
Understanding the Users and Videos by Mining a Novel Danmu Dataset	13
Exploring Multi-Dimension User-Item Interactions With Attentional Knowledge Graph Neural Networks for Recommendation	13
Survey and Analysis of Current End-User Data Analytics Tool Support	13
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform	13
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data	13
A Memory Network Information Retrieval Model for Identification of News Misinformation	13
An overview of healthcare data analytics with applications to the COVID-19 pandemic	13
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition	13
A Survey on Role-Oriented Network Embedding	13
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data	13
Citywide Traffic Volume Inference with Surveillance Camera Records	13
How to Protect Ourselves From Overlapping Community Detection in Social Networks	13
A Survey of Data Pricing for Data Marketplaces	12
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation	12
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems	12
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems	12
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification	11
Mining Stable Communities in Temporal Networks by Density-Based Clustering	11
Deadline-Aware Cost Optimization for Spark	11
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis	11
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder	11
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit	11
Privacy and Efficiency of Communications in Federated Split Learning	10
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data	10
GGNN: Graph-Based GPU Nearest Neighbor Search	10
cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning	10
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks	10
Towards Efficient Local Causal Structure Learning	10
Deep Tensor CCA for Multi-view Learning	10
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting	10
Quality Inference in Federated Learning With Secure Aggregation	9
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation	9
SGAE: Stacked Graph Autoencoder for Deep Clustering	9
Efficient Provenance Management via Clustering and Hybrid Storage in Big Data Environments	9
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets	9
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach	9
Decentralized Federated Learning: A Survey on Security and Privacy	9
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification	9
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data	9
Approximate Clustering Ensemble Method for Big Data	9
Long-term Origin-Destination Demand Prediction with Graph Deep Learning	9
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective	9
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling	9