1 citations · 1 across the 7 of their papers we have counts for
6 papers
Implicit Multi-feature Learning for Dynamic Time Series Prediction of the Impact of Institutions
Xiaomei Bai, Fuli Zhang, Jie Hou +3
Predicting the impact of research institutions is an important tool for decision makers, such as resource allocation for funding bodies. Despite significant effort of adopting quan…
Predicting the Citations of Scholarly Paper
Xiaomei Bai, Fuli Zhang, Ivan Lee
Citation prediction of scholarly papers is of great significance in guiding funding allocations, recruitment decisions, and rewards. However, little is known about how citation pat…
Author Impact: Evaluations, Predictions, and Challenges
Fuli Zhang, Xiaomei Bai, Ivan Lee
Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of author impact evaluation…
Measure the Impact of Institution and Paper via Institution-citation Network
Xiaomei Bai, Fuli Zhang, Jin Ni +2
This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the imp…
An Overview on Evaluating and Predicting Scholarly Article Impact
Xiaomei Bai, Hui Liu, Fuli Zhang +4
Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of re…
Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations
Xiaomei Bai, Fuli Zhang, Jie Hou +4
Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,59…