Fine-grained citation count prediction via a transformer-based model with among-attention mechanism-Reference-Cited by-同舟云学术

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Fine-grained citation count prediction via a transformer-based model with among-attention mechanism

Published:2022-03 Issue:2 Volume:59 Page:102799
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Huang Shengzhi,Huang Yong,Bu Yi,Lu Wei,Qian Jiajia,Wang Dan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference57 articles.

1. Predicting publication long-term impact through a combination of early citations and journal impact factor;Abramo;Journal of Informetrics,2019

2. Predicting citation counts based on deep neural network learning techniques;Abrishami;Journal of Informetrics,2019

3. Early indicators of scientific impact: Predicting citations with altmetrics;Akella;Journal of Informetrics,2021

4. Predicting the citations of scholarly paper;Bai;Journal of Informetrics,2019

5. The use of altmetrics as a tool for measuring research impact;Barnes;Australian Academic & Research Libraries,2015

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