OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 72. 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 2021-03-01 to 2025-03-01.)

Article	Citations
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders	981
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution	750
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation	745
Generating $k$-hop-constrained $s$-$t$ Path Graphs	504
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences with Features	479
Short Text Topic Learning Using Heterogeneous Information Network	462
Efficient Range and kNN Twin Subsequence Search in Time Series	450
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity	369
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage	326
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis	324
Graph Condensation: A Survey	307
Group-aware Dynamic Graph Representation Learning for Next POI Recommendation	296
Are Large Language Models Really Good Logical Reasoners? a Comprehensive Evaluation and Beyond	249
Dynamic Ensemble Framework for Imbalanced Data Classification	224
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding	215
Temporal Network Motifs: Models, Limitations, Evaluation	209
Dual Enhanced Meta-learning with Adaptive Task Scheduler for Cold-Start Recommendation	199
CloudRGK: Towards Private Similarity Measurement between Graphs on the Cloud	184
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks	180
Discovery of Temporal Network Motifs	172
Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning	170
2021 Reviewers List	169
Data Lake Organization	164
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	162
Breaking the Expression Bottleneck of Graph Neural Networks	148

Streaming Graph Embeddings via Incremental Neighborhood Sketching	133
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective	132
Mining Triangle-Dense Subgraphs of a Fixed Size: Hardness, Lovasz extension and ´ Applications	125
Network Representation Lightening from Hashing to Quantization	124
Development of fully convolutional neural networks based on discretization in time series classification	123
Graph Cross-Correlated Network for Recommendation	121
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives	120
DataOps-4G: On Supporting Generalists in Data Quality Discovery	119
Privacy-Preserving Boolean Range Query with Temporal Access Control in Mobile Computing	119
A Similarity-based Framework for Classification Task	118
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	114
Learning Holistic Interactions in LBSNs with High-order, Dynamic, and Multi-role Contexts	114
Single-Source Personalized PageRanks with Workload Robustness	113
Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement	108
Generating Characteristic Summaries for Entity Descriptions	106
Concept Drift Detection Delay Index	105
A Fast Learned Key-Value Store for Concurrent and Distributed Systems	103
Geometric Algebra based Embeddings for Static and Temporal Knowledge Graph Completion	103
FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks	102
Multi-Dimensional Classification via Decomposed Label Encoding	101
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method	101
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits	100
Maintaining Top-$t$ Cores in Dynamic Graphs	98
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	98
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening	97
Fractal Belief Rényi Divergence With its Applications in Pattern Classification	96
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting	95
Learning Discriminative Text Representation for Streaming Social Event Detection	94
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks	94
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network	93
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis	91
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability	87
Truth Discovery by Claim and Source Embedding	86
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle	86
Link Prediction in Stagewise Graphs	84
A Deep Dual Adversarial Network for Cross-Domain Recommendation	84
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	83
Adversarial Attacks Against Deep Generative Models on Data: A Survey	83
Time Series Anomaly Detection With Adversarial Reconstruction Networks	81
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection	80
Learning From Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning	79
Low-Rank Linear Embedding for Robust Clustering	79
Classification in Dynamic Data Streams With a Scarcity of Labels	77
Dimensionality Reduction for Categorical Data	77
Contrastive Graph Representations for Logical Formulas Embedding	77
Vertex Encoding for Edge Nonexistence Determination With SIMD Acceleration	77
Reinforced Path Reasoning for Counterfactual Explainable Recommendation	72