OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Transactions on Big Data is 8. 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.)

Article	Citations
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation	1252
Digital Twin Data Management: A Comprehensive Review	289
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning	180
A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models	99
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation	97
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models	85
Efficient Interactive Global Cellular Signal Strength Visualization	81
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing	80
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism	79
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares	62
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks	60
Relaxed Locality Preserving Supervised Discrete Hashing	60
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data	59
An Overall Evaluation on Benefits of Competitive Influence Diffusion	50
A Structured Approach Towards Big Data Identification	44
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT	42
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data	42
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification	40
Efficient Learned Spatial Index With Interpolation Function Based Learned Model	40
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning	40
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System	39
Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices	39
Novel Multi-Feature Fusion Facial Aesthetic Analysis Framework	37
Cloud Computing Assisted Mobile Healthcare Systems Using Distributed Data Analytic Model	36
Improved Gradient Inversion Attacks and Defenses in Federated Learning	34

Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift	33
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning	32
Legal Transition Sequence Recognition of a Bounded Petri Net Using a Gate Recurrent Unit	31
Online Heterogeneous Streaming Feature Selection Without Feature Type Information	31
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database	31
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning	31
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection	31
LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR	30
Data-Free Knowledge Filtering and Distillation in Federated Learning	30
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index	30
A Universal and Efficient Multi-Modal Smart Contract Vulnerability Detection Framework for Big Data	30
Bi-Selection of Instances and Features Based on Neighborhood Importance Degree	30
Harnessing the Power of Local Supervision in Federated Learning	30
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach	29
Training Large-Scale Graph Neural Networks via Graph Partial Pooling	29
Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments	28
Debiased Cross Contrastive Quantization for Unsupervised Image Retrieval	27
AKGNN: Attribute Knowledge Graph Neural Networks Recommendation for Corporate Volunteer Activities	27
Higher-Order Smoothness Enhanced Graph Collaborative Filtering	27
Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification	27
Multi-granularity Feature Interaction and Multi-region Selection based Triplet Visual Question Answering	24
Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models	24
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization	23
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models	23
Towards Dynamic Verifiable Pattern Matching	23
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion	23
Modeling and Visualizing Student Flow	22
Multi-Relation Extraction via A Global-Local Graph Convolutional Network	22
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data	22
Emulating Reader Behaviors for Fake News Detection	22
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories	22
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series	21
Stark: Fast and Scalable Strassen’s Matrix Multiplication Using Apache Spark	21
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search	21
GCLNet: Generalized Contrastive Learning for Weakly Supervised Temporal Action Localization	21
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams	20
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform	20
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph	20
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets	20
To Your Surprise: Identifying Serendipitous Collaborators	20
Managing Big Interval Data with CINTIA: The Checkpoint INTerval Array	20
Portraying Fine-grained Tenant Portrait for Churn Prediction using Semi-supervised Graph Convolution and Attention Network	19
Optimal Subdata Selection for Prediction Based on the Distribution of the Covariates	19
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm	19
Self-Guided Graph Refinement with Progressive Fusion for Multiplex Graph Contrastive Representation Learning	19
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities	18
Stable Learning via Dual Feature Learning	18
A Query-Aware Method for Approximate Range Search in Hamming Space	18
Accurate Network Alignment via Consistency in Node Evolution	18
Effective Personalized Search With Heterogeneous Graph Based Hawkes Process	18

Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory	18
Mining Stable Communities in Temporal Networks by Density-Based Clustering	18
Local High-Order Graph Learning for Multi-View Clustering	17
Robust Joint Graph Learning for Multi-View Clustering	17
DCLCSE: Dynamic Curriculum Learning Based Contrastive Learning of Sentence Embeddings	17
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation	17
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network	16
Learning-Based Distributed Spatio-Temporal k Nearest Neighbors Join	16
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning	16
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images	16
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph	16
Billion-Scale Similarity Search with GPUs	15
AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction with Biased and Isolated Data	15
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting	15
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs	15
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets	15
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs	15
Large Language Models for Link Stealing Attacks Against Graph Neural Networks	15
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation	15
Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization	15
Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems	15
x-ECON: Explainable Event-Consumption Commonsense Reasoning	14
Utility-driven Data Analytics Algorithm for Transaction Modifications Using Pre-large Concept with Single Database Scan	14
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection	14
AGE: Age-Gender Effect on Faculty Career Progression in American Universities	14
A novel concept-cognitive learning model oriented to three-way concept for knowledge acquisition	14
On the Convergence of Federated Learning Algorithms Without Data Similarity	13
Worker Similarity-Based Label Completion for Crowdsourcing	13
Causal Feature Selection With Efficient Spouses Discovery	13
Imperceptible Physical Attack Against Face Recognition Systems via LED Illumination Modulation	13
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning	13
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization	13
ALD-GCN: Graph Convolutional Networks With Attribute-Level Defense	13
DBNetVizor: Visual Analysis of Dynamic Basketball Player Networks	13
System Identification With Fourier Transformation for Long-Term Time Series Forecasting	13
IEMask R-CNN: Information-Enhanced Mask R-CNN	12
2021 Index IEEE Transactions on Big Data Vol. 7	11
Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System	11
Maximal Quasi-Cliques Mining in Uncertain Graphs	11
Enhancing the Transferability of Adversarial Examples with Random Diversity Ensemble and Variance Reduction Augmentation	11
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection	11
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction	11
Secret Specification Based Personalized Privacy-Preserving Analysis in Big Data	11
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision	11
An End-to-End Approach for Graph-Based Multi-View Data Clustering	10
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding	10
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19	10
Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation	10
A Privacy-preserving Large-scale Image Retrieval Framework with Vision GNN Hashing	10
Cepe-FL: Communication-efficient and Privacy-enhanced Federated Learning via Adaptive Compressive Sensing	10
How to Protect Ourselves From Overlapping Community Detection in Social Networks	10
OpinionRank: Trustworthy Website Detection Using Three Valued Subjective Logic	9
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder	9
UGCC: Social Media User Geolocation via Cyclic Coupling	9
Distributed Dual Averaging Based Data Clustering	9
Scalable Distributed Data Anonymization for Large Datasets	9
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis	9
Noiseless Privacy: Definition, Guarantees, and Applications	9
Research of Federated Learning Application Methods and Social Responsibility	9
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data	9
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network	8
Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database	8
Domain Adaptation for Label Distribution Learning	8
Verifiable and Privacy-Preserving $k$-NN Query Scheme with Multiple Keys	8
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records	8
Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting	8
Edge-DPSDG: An Edge-Based Differential Privacy Protection Model for Smart Healthcare	8
Mixup Virtual Adversarial Training for Robust Vision Transformers	8
Reliable Data Augmented Contrastive Learning for Sequential Recommendation	8
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation	8
Federated Meta Embedding Concept Stock Recommendation	8
Accelerating Blockchain-Enabled Federated Learning with Clustered Clients	8
LBFL: A Lightweight Blockchain-based Federated Learning Framework with Proof-of-Contribution Committee Consensus	8
Cosine Multilinear Principal Component Analysis for Recognition	8
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review	8