OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 40. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	558
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	338
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	200
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	147
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	117
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	110
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	106
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	96
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	82
Graph Co-Attentive Session-based Recommendation	78
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	77
DiffuRec: A Diffusion Model for Sequential Recommendation	75
Understanding the “Pathway” Towards a Searcher’s Learning Objective	72
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	70
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	65
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	62
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	60
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	59
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	58
ID-centric Pre-training for Recommendation	50
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	50
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	49
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	49
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	49
Revisiting Conversation Discourse for Dialogue Disentanglement	49

Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	47
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	47
Bias and Debias in Recommender System: A Survey and Future Directions	46
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	44
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	44
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	44
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	43
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	43
A Review Selection Method Based on Consumer Decision Phases in E-commerce	43
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems.	42
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	41
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	40
Enhancing ID-based Recommendation with Large Language Models	40
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	40
Toward Best Practices for Training Multilingual Dense Retrieval Models	40