The Quality Assist: A Technology-Assisted Peer Review Based on Citation Functions to Predict the Paper Quality

This study aims to develop a prediction model for paper quality assessment to support technology-assisted peer review. The prediction technique is intended to reduce the review burden, which is becoming a critical issue in today’s paper submission process. However, most existing works on...

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Bibliographic Details
Main Authors: Setio Basuki, Masatoshi Tsuchiya
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9968010/