OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Intelligent Systems and Technology is 29. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	761
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	394
Steering-by-example for Progressive Visual Analytics	299
Second-order Confidence Network for Early Classification of Time Series	186
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	135
Deep Causal Reasoning for Recommendations	91
Privacy Preservation for Trajectory Publication Based on Differential Privacy	79
Robust Learning under Hybrid Noise	68
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	68
Hierarchical Pruning of Deep Ensembles with Focal Diversity	65
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	65
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	63
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	62
Cost-aware Best Arm Identification in Stochastic Bandits	56
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	53
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	53
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	53
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	47
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	42
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	39
Generating Daily Activities with Need Dynamics	35
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	32
How do Large Language Models understand Genes and Cells	31
Reinforcement Learning for Quantitative Trading	30

Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	30
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	30
Auto-weighted Robust Federated Learning with Corrupted Data Sources	30
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	29