Identifying Mis-Configured Author Profiles on Google Scholar Using Deep Learning

Identifying Mis-Configured Author Profiles on Google Scholar Using Deep Learning

Google Scholar has been a widely used platform for academic performance evaluation and citation analysis. The issue about the mis-configuration of author profiles may seriously damage the reliability of the data, and thus affect the accuracy of analysis. Therefore, it is important to detect the mis-...

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Bibliographic Details
Main Authors: Jiaxin Tang, Yang Chen, Guozhen She, Yang Xu, Kewei Sha, Xin Wang, Yi Wang, Zhenhua Zhang, Pan Hui
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Google Scholar
author profiles
mis-configuration
machine learning
neural network
node embedding
Online Access:https://www.mdpi.com/2076-3417/11/15/6912

Internet

https://www.mdpi.com/2076-3417/11/15/6912

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