Exploiting Contextual Word Embedding for Identification of Important Citations: Incorporating Section-Wise Citation Counts and Metadata Features-Reference-Cited by-同舟云学术

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Exploiting Contextual Word Embedding for Identification of Important Citations: Incorporating Section-Wise Citation Counts and Metadata Features

Published:2023 Issue: Volume:11 Page:114044-114060
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Iqbal Arshad¹^ORCID,Shahid Abdul¹,Roman Muhammad¹^ORCID,Afzal Muhammad Tanvir²,Yahya Muhammad³^ORCID

Affiliation:

1. Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan

2. Department of Computing, Faculty of Computing, Shifa Tameer-e-Millat University, Islamabad, Pakistan

3. Data Science Institute, University of Galway, Galway, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10265274.pdf?arnumber=10265274

Reference60 articles.

1. In-text citation’s frequencies-based recommendations of relevant research papers

2. Recommendation system for research articles: A survey;saboor;J Ambient Intell Humanized Comput,2020

3. Sections-based bibliographic coupling for research paper recommendation

4. Research-paper recommender systems: a literature survey

5. Quality of Research and the Nobel Prizes

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