Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network-Reference-Cited by-同舟云学术

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Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network

Published:2024-07 Issue:6 Volume:36 Page:102119
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Wang Zhongyi^ORCID,Zhang Haoxuan^ORCID,Chen Haihua^ORCID,Feng Yunhe^ORCID,Ding Junhua^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. A novel methodology to assess the scientific standing of nations at field level;Abramo;J. Inform.,2020

2. Predicting citation counts based on deep neural network learning techniques;Abrishami;J. Inform.,2019

3. Network-based approach to detect novelty of scholarly literature;Amplayo;Inf. Sci.,2018

4. The relationship between readability and scientific impact: Evidence from emerging technology discourses;Ante;J. Inform.,2022

5. The quality assist: A technology-assisted peer review based on citation functions to predict the paper quality;Basuki;IEEE Access,2022

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