OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Knowledge and Data Engineering is 88. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications	2009
Prefix Coding Scheme Supporting Direct Access Without Auxiliary Space	1056
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization	1039
Scalable Identity-Oriented Speech Retrieval	923
Minimum $k$k-Vertex Connected Graph Search	747
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams	743
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems	680
Find Another me Across the World - Large-Scale Semantic Trajectory Analysis Using Spark	667
Outdoor Position Recovery From Heterogeneous Telco Cellular Data	631
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding	616
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation	513
Reinforced Imitative Graph Learning for Mobile User Profiling	485
Latent Representation Guided Multi-View Clustering	423
Recurrent Learning on PM^2.5 Prediction Based on Clustered Airbox Dataset	402
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations	378
Safety in Graph Machine Learning: Threats and Safeguards	355
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning	337
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction	333
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation	326
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification	317
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction	285
AIM: Automatic Interaction Machine for Click-Through Rate Prediction	277
CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events	275
Temporal Network Motifs: Models, Limitations, Evaluation	241
Learning Discriminative Text Representation for Streaming Social Event Detection	236

Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series	235
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching	226
Model-Free Subsampling Method Based on Uniform Designs	219
Learning Idempotent Representation for Subspace Clustering	218
Graph Contrastive Learning With Personalized Augmentation	212
Generating kk-Hop-Constrained ss-tt Path Graphs	206
Exploiting SIMD-Ified Bit-Parallelism for High-Performance Complex Event Matching	182
Generalized Measure-Biased Sampling and Priority Sampling	181
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams	181
Continuous Trajectory Similarity Search for Online Outlier Detection	181
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification	173
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms	172
Simplified Graph Contrastive Learning Model Without Augmentation	171
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning	169
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity	166
Model Inversion Attacks Against Graph Neural Networks	165
Knowledge Graph-Based Debiasing for Trustworthy Recommendation Systems	164
Efficient Minimum $k$-Truss Search: A Decomposition-Based Approach	162
M²: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation	160
Granular-Ball-Induced Noise-Tolerant Discernibility Indexes for Fuzzy $\beta$ Covering Decision Systems and Feature Subset Selection	149
The Expressive Power of Graph Neural Networks: A Survey	147
Dimensionality Reduction for Categorical Data	146
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning	144
Data-Aware Adaptive Compression for Stream Processing	138
Willingness Maximization for Ego Network Data Extraction in Multiple Online Social Networks	132
A Data-level Augmentation Framework for Time Series Forecasting with Ambiguously Related Source Data	132
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks	131
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning	130
Attribute Graph Neural Networks for Strict Cold Start Recommendation	130
Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Numbers of Clusters	128
Unified ABSA via Annotation-Decoupled Multi-Task Instruction Tuning	127
Effortless Locality on Data Systems Using Relational Fabric	124
MulRF: A Multi-Dimensional Range Filter for Sublinear Time Range Query Processing	124
GPU-Accelerated Structural Diversity Search in Graphs	124
Discovering Cliques in Attribute Graphs Based on Proportional Fairness	123
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment	122
Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning	121
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and L1 Norm	117
Robust Multi-View Clustering Through Partition Integration on Stiefel Manifold	117
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science With Table-Specific Pretraining	114
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection	114
Dynamic Assortment Selection Under Inventory and Limited Switches Constraints	114
Multi-view Fuzzy Representation Learning with Rules based Model	112
Similarity Transitivity Broken-Aware Multi-Modal Hashing	111
KnobCF: Uncertainty-Aware Knob Tuning	109
Provenance Graph Kernel	109
BLITZ: A Flexible and Efficient Graph Mining System	108
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation	104
Clique Annealing: Semi-Supervised Community Detection Under Crystallization Kinetics	100
Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay	100

Efficient Radius-Bounded Community Search in Geo-Social Networks	100
Is Sharing Neighbor Generator in Federated Graph Learning Safe?	99
Pattern-Wise Transparent Sequential Recommendation	99
WizardEvent: Empowering Event Reasoning by Hybrid Event-Aware Data Synthesizing	98
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks	96
Temporal Graph Multi-Aspect Embeddings	95
Clustering Based on Density Propagation and Subcluster Merging	95
BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective	94
A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions	93
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains	92
One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification	91
Low-Rank Tensor Learning for Incomplete Multiview Clustering	89
Balanced and Unbalanced Triangle Count in Signed Networks	88