Scientometrics
Volume/Issue:
Volume 93: Issue 3
Discovery of factors influencing citation impact based on a soft fuzzy rough set model
Authors:
Mingyang Wang College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, People's Republic of China
School of Management, Harbin Institute of Technology, Harbin 150001, People's Republic of China

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Guang Yu School of Management, Harbin Institute of Technology, Harbin 150001, People's Republic of China

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Shuang An School of Power Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China

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Daren Yu School of Power Engineering, Harbin Institute of Technology, Harbin 150001, People's Republic of China

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Pages:
635–644
Online Publication Date:
12 May 2012
Publication Date:
01 Dec 2012
Article Category:
Research Article
DOI:
https://doi.org/10.1007/s11192-012-0766-x
Keywords:
Citation impact; Highly cited papers; Soft fuzzy rough set
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Abstract

In this paper, the machine learning tools were used to identify key features influencing citation impact. Both the papers’ external and quality information were considered in constructing papers’ feature space. Based on the feature space, the soft fuzzy rough set was used to generate a series of associated feature subsets. Then, the KNN classifier was used to find the feature subset with the best classification performance. The results show that citation impact could be predicted by objectively assessed factors. Both the papers’ quality and external features, mainly represented as the reputation of the first author, are contributed to future citation impact.

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Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

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Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 1
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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