11 citations · 11 across the 8 of their papers we have counts for
8 papers
StatCite: A Large-scale Citation Network Dataset for Statistics and Data Science
Tianang Deng, Tianchen Gao, Rui Pan +1
In this paper, we introduce StatCite, a large-scale citation network dataset covering publications in statistics and data science from 1981 to 2025. The dataset contains 189,101 re…
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…
How Does LLM Help Regional CPI Forecast: An LLM-powered Deep Panel Modeling Framework
Tianchen Gao, Ao Sun, Yurou Wang +2
Understanding regional Consumer Price Index (CPI) dynamics is essential for timely and effective economic policymaking. However, traditional modeling procedures typically rely only…
LLM-powered Real-time Patent Citation Recommendation for Financial Technologies
Tianang Deng, Yu Deng, Tianchen Gao +2
Rapid financial innovation has been accompanied by a sharp increase in patenting activity, making timely and comprehensive prior-art discovery more difficult. This problem is espec…
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…
BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks
Tianchen Gao, Jingyuan Liu, Rui Pan +1
Community detection, which focuses on recovering the group structure within networks, is a crucial and fundamental task in network analysis. However, the detection process can be q…
Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models
Kun Liu, Yan Zhang, Rui Pan +2
Literature recommendation is essential for researchers to find relevant articles in an ever-growing academic field. However, traditional methods often struggle due to data limitati…
A Comparison of DeepSeek and Other LLMs
Tianchen Gao, Jiashun Jin, Zheng Tracy Ke +1
Recently, DeepSeek has been the focus of attention in and beyond the AI community. An interesting problem is how DeepSeek compares to other large language models (LLMs). There are…