OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 66. 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
A Survey on Multi-Task Learning	807
Deep Learning on Graphs: A Survey	664
A Survey on Deep Learning for Named Entity Recognition	645
Self-supervised Learning: Generative or Contrastive	560
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective	448
A Survey on Knowledge Graph-Based Recommender Systems	379
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications	366
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	341
Deep Learning for Spatio-Temporal Data Mining: A Survey	312
Generalizing to Unseen Domains: A Survey on Domain Generalization	271
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning	256
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems	254
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting	248
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction	227
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework	219
A Survey on Deep Semi-Supervised Learning	216
A Survey of Utility-Oriented Pattern Mining	188
Extended Isolation Forest	184
A General Survey on Attention Mechanisms in Deep Learning	160
Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing	154
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning	152
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis	149
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation	147
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories	145
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey	140

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation	130
Graph Self-Supervised Learning: A Survey	120
Modeling Relation Paths for Knowledge Graph Completion	112
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection	112
Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection	112
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation	111
Unified One-Step Multi-View Spectral Clustering	109
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification	104
Label Enhancement for Label Distribution Learning	102
Interpretable and Efficient Heterogeneous Graph Convolutional Network	101
A Survey on Canonical Correlation Analysis	100
A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development	98
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark	98
Personalized Long- and Short-term Preference Learning for Next POI Recommendation	97
Generalized Divergence-based Decision Making Method with an Application to Pattern Classification	94
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification	94
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges	93
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News	91
Few-Shot Named Entity Recognition via Meta-Learning	88
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks	87
An Integrated Multi-Task Model for Fake News Detection	85
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks	85
A Graph Neural Network Framework for Social Recommendations	85
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks	84
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure	83
Consensus One-Step Multi-View Subspace Clustering	83
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals	83
Unifying Large Language Models and Knowledge Graphs: A Roadmap	81
Challenges in KNN Classification	80
Clustering with Local Density Peaks-Based Minimum Spanning Tree	79
BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing	79
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions	78
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity	75
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems	71
Multi-Scale Dynamic Convolutional Network for Knowledge Graph Embedding	70
Social-Enhanced Attentive Group Recommendation	70
NeuLFT: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors	69
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	68
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks	68
Joint Deep Multi-View Learning for Image Clustering	67
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems	66
Self-Supervised Learning for Recommender Systems: A Survey	66
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering	66