Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example

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Bibliographic Details
Main Authors: Hou Zhu, Li Shuhuai
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611117/?tool=EBI
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author Hou Zhu
Li Shuhuai
author_facet Hou Zhu
Li Shuhuai
author_sort Hou Zhu
collection DOAJ
format Article
id doaj-art-28a5bd6f14ee431891ec746be562d92a
institution OA Journals
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-28a5bd6f14ee431891ec746be562d92a2025-08-20T02:38:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an exampleHou ZhuLi Shuhuaihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611117/?tool=EBI
spellingShingle Hou Zhu
Li Shuhuai
Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
PLoS ONE
title Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
title_full Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
title_fullStr Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
title_full_unstemmed Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
title_short Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example
title_sort instant prediction of scientific paper cited potential based on semantic and metadata features taking artificial intelligence field as an example
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611117/?tool=EBI
work_keys_str_mv AT houzhu instantpredictionofscientificpapercitedpotentialbasedonsemanticandmetadatafeaturestakingartificialintelligencefieldasanexample
AT lishuhuai instantpredictionofscientificpapercitedpotentialbasedonsemanticandmetadatafeaturestakingartificialintelligencefieldasanexample