22 citations · 22 across the 6 of their papers we have counts for
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3 papers · 1 filter
stat.ME2026
Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network Analysis
Zhan Gao, Danyang Huang, Rui Pan +1
Degree heterogeneity is one of the most important properties of network data. It is widely observed that degree heterogeneity is often related to the nodal features. In this study,…
cs.IR2026
An LLM-Powered Semantic Alignment Framework for Journal Recommendation
Yanglin Yan, Zicheng Xie, Tianchen Gao +2
Journal recommendation is an important task in scholarly information systems. Existing approaches typically rely on supervised learning models, manually engineered features, or his…
stat.AP2026
Are Large Language Models able to Predict Highly Cited Papers? Evidence from Statistical Publications
Zhanshuo Ye, Yiming Hou, Rui Pan +2
Predicting highly-cited papers is a long-standing challenge due to the complex interactions of research content, scholarly communities, and temporal dynamics. Recent advances in la…