OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 85. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	1887
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	965
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	877
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	874
Scalable Identity-Oriented Speech Retrieval	711
Minimum $k$k-Vertex Connected Graph Search	691
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	633
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	617
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	600
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	581
Generalized Measure-Biased Sampling and Priority Sampling	453
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	430
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Cluster Numbers	368
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	354
Learning Idempotent Representation for Subspace Clustering	318
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	314
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	314
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	291
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	288
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	284
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	272
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	268
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	254
Safety in Graph Machine Learning: Threats and Safeguards	234
Temporal Network Motifs: Models, Limitations, Evaluation	226

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	217
Model Inversion Attacks Against Graph Neural Networks	205
The Expressive Power of Graph Neural Networks: A Survey	198
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	197
Data-Aware Adaptive Compression for Stream Processing	193
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	191
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	179
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	173
Continuous Trajectory Similarity Search for Online Outlier Detection	172
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	170
Dimensionality Reduction for Categorical Data	166
Attribute Graph Neural Networks for Strict Cold Start Recommendation	162
Reinforced Imitative Graph Learning for Mobile User Profiling	159
Latent Representation Guided Multi-View Clustering	154
Model-Free Subsampling Method Based on Uniform Designs	154
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	154
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	153
Generating kk-Hop-Constrained ss-tt Path Graphs	150
Learning Discriminative Text Representation for Streaming Social Event Detection	147
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	145
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	142
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	137
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	129
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	129
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	129
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	128
Graph Contrastive Learning With Personalized Augmentation	126
Simplified Graph Contrastive Learning Model Without Augmentation	126
Preventing Inferences Through Data Dependencies on Sensitive Data	125
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	117
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity	117
Effortless Locality on Data Systems Using Relational Fabric	116
GPU-Accelerated Structural Diversity Search in Graphs	115
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	113
Robust Tensor Completion With Side Information	111
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	111
A Unified Perspective for Learning Graph Representations across Multi-Level Abstractions	110
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	108
OKG-LLM: Aligning Ocean Knowledge Graph With Observation Data via LLMs for Global Sea Surface Temperature Prediction	106
Network Controllability Perspectives on Graph Representation	104
Amalur: The Convergence of Data Integration and Machine Learning	103
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning	102
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	101
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	101
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	100
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	98
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science With Table-Specific Pretraining	96
Multi-view Fuzzy Representation Learning with Rules based Model	94
Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph	92
Similarity Transitivity Broken-Aware Multi-Modal Hashing	92

BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	91
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification	91
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	91
KnobCF: Uncertainty-Aware Knob Tuning	89
BLITZ: A Flexible and Efficient Graph Mining System	88
Provenance Graph Kernel	88
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction	88
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	86
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization	86
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search	86
Large Language Models are In-Context Molecule Learners	85
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs	85