most citedQuantifying Success in Science: An Overview

4 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

cs.IR2020

Scientific Paper Recommendation: A Survey

Xiaomei Bai, Mengyang Wang, Ivan Lee +3

Globally, recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a lar…

cs.SI2020

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…

cs.DL2020

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…

cs.DL20204 cited

Quantifying Success in Science: An Overview

Xiaomei Bai, Hanxiao Pan, Jie Hou +3

Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towa…

cs.DL2020

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…

cs.DL2020

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…