ACM Transactions on Intelligent Systems and Technology

Papers
(The H4-Index of ACM Transactions on Intelligent Systems and Technology is 35. 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.)
ArticleCitations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 12386
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor511
Robust Learning under Hybrid Noise479
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field197
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation173
Spectraformer: A Unified Random Feature Framework for Transformer162
Second-order Confidence Network for Early Classification of Time Series144
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach119
Steering-by-example for Progressive Visual Analytics117
Hierarchical Pruning of Deep Ensembles with Focal Diversity101
Deep Causal Reasoning for Recommendations80
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation79
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring79
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data77
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective76
Cost-aware Best Arm Identification in Stochastic Bandits71
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks67
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning62
3D-Guided Frontal Face Generation for Pose-Invariant Recognition61
Discovering Causes of Traffic Congestion via Deep Transfer Clustering59
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation55
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements54
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend52
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques49
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion47
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes47
Prompt-based Masked Language Modeling for Numerical Reasoning45
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning44
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World43
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning38
Reinforcement Learning for Quantitative Trading38
Cross-User Federated Recommendation Unlearning36
Treatment Effect Estimation on Networked Observational Data using Disentangled Graph Variational Autoencoder36
How Do Large Language Models Understand Genes and Cells35
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory35
Introduction to the Special Issue on Transformers35
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