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https://doi.org/10.55835/64382...

Article . 2023 . Peer-reviewed

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A Study on Iconic Paper Discovery Based on Deep Learning Models

descriptionPublicationkeyboard_double_arrow_right Article 14 May 2023Publisher:International Conference on Science, Technology and Innovation IndicatorsJournal:27th International Conference on Science, Technology and Innovation Indicators (STI 2023)

Authors: YUCHENG CHEN; Zhengyi Guan; Chundong Li; chenyang wang; Zhe Wang;

doi: 10.55835/64382c384cc7592973d4786e

A Study on Iconic Paper Discovery Based on Deep Learning Models

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Abstract

This paper proposes a new method for selecting iconic papers. We use chapter structure recognition technology and combine it with popular deep learning models to identify the chapter structure of the papers. Based on this identification result, we calculate the sum of the number of times each paper is mentioned in all articles, to discover iconic papers with high mention frequency. We focus on the "Method" and "Conclusion" sections to find papers that are frequently mentioned in these two sections and determine iconic papers. With this method, we can more accurately discover and evaluate important research results and provide more valuable references for scholars in related fields.

Related Organizations

Chinese Academy of Sciences
China (People's Republic of)
Wuhan Branch of the National Science Library
China (People's Republic of)
National Science Library
China (People's Republic of)
University of Science and Technology of China
China (People's Republic of)
University of Chinese Academy of Sciences
China (People's Republic of)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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