OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 76. 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 2021-07-01 to 2025-07-01.)

Article	Citations
A Similarity-based Framework for Classification Task	1257
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	856
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	841
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	609
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	599
Modeling and Detecting Communities in Node Attributed Networks	525
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	447
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	441
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	407
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	406
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	401
Generating Characteristic Summaries for Entity Descriptions	370
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data	323
Dimensionality Reduction for Categorical Data	213
Graph Contrastive Learning With Personalized Augmentation	208
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	199
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	198
Model-Free Subsampling Method Based on Uniform Designs	196
The Expressive Power of Graph Neural Networks: A Survey	196
Network Representation Lightening from Hashing to Quantization	191
Road-aware Indexing for Trajectory Range Queries	188
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	184
Generating kk-Hop-Constrained ss-tt Path Graphs	182
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	181
Data-Aware Adaptive Compression for Stream Processing	178

Learning Discriminative Text Representation for Streaming Social Event Detection	176
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	169
Scalable Identity-Oriented Speech Retrieval	160
GraphNAS++: Distributed Architecture Search for Graph Neural Networks	157
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction	155
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	148
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	139
Latent Representation Guided Multi-View Clustering	137
Encoding High-Cardinality String Categorical Variables	136
Minimum $k$-Vertex Connected Graph Search	132
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective	131
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	131
Reinforced Imitative Graph Learning for Mobile User Profiling	129
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	127
Domain Adaptation on Graphs by Learning Aligned Graph Bases	125
Streaming Graph Embeddings via Incremental Neighborhood Sketching	119
Projective Ranking-based GNN Evasion Attacks	119
Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning	115
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	115
Generalized Measure-Biased Sampling and Priority Sampling	115
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	115
Disentangled Modeling of Social Homophily and Influence for Social Recommendation	113
Explicit Message-Passing Heterogeneous Graph Neural Network	112
Learning Idempotent Representation for Subspace Clustering	111
Model Inversion Attacks Against Graph Neural Networks	111
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	111
A Universal Subhypergraph-assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	111
Continuous Trajectory Similarity Search for Online Outlier Detection	110
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	110
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	107
Attribute Graph Neural Networks for Strict Cold Start Recommendation	103
Contrastive Variational Group Recommendation with Data-agnostic Augmentation	100
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	100
Neural Text Segmentation and its Application to Sentiment Analysis	94
CCGL: Contrastive Cascade Graph Learning	93
Temporal Network Motifs: Models, Limitations, Evaluation	93
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data	92
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	92
Towards De-Anonymization of Google Play Search Rank Fraud	91
MAS-Encryption and its Applications in Privacy-Preserving Classifiers	90
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	89
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	87
Multi-view Fuzzy Representation Learning with Rules based Model	86
Network Controllability Perspectives on Graph Representation	85
Robust Tensor Completion With Side Information	84
Efficient Radius-Bounded Community Search in Geo-Social Networks	84
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	84
Large Language Models are In-Context Molecule Learners	83
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	82
HinCTI: A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network	81

Domain-Adversarial Network Alignment	78
Preventing Inferences Through Data Dependencies on Sensitive Data	76
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering	76