Influence evaluation of academic papers via citation characteristics analysis

Qingyuan WU; Jiahua HU; Yanghui RAO; Fu Lee WANG; Haoran XIE

doi:10.1007/978-981-33-4594-2_25

Influence evaluation of academic papers via citation characteristics analysis

Qingyuan WU, Jiahua HU^*, Yanghui RAO, Fu Lee WANG, Haoran XIE

^*Corresponding author for this work

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

Citation evaluation has become one of the important indexes to evaluate the paper influence. In the academic area, paper influence is quite important to evaluate the author’s academic level, in addition to help researchers to identify important academic literatures. The traditional citation evaluation methods are mainly developed based on the citation frequency. Nevertheless, other citation characteristics, such as the nature, depth, and distribution are also valuable. Citation nature includes positive, neutral, and negative citations. The depth can be divided into deep, medium, and shallow citations, which could reveal the correlation and the degree of paper reference between citing and cited papers. The citation distribution contains three types: forepart, middle, and tail citations. The data sample of the empirical study is collected from highly cited papers in Chinese and English core journals. Firstly, by using content analysis methods, we analyze the citation evaluation from three dimensions of Chinese papers. Secondly, we compare the similarities and differences between Chinese and English papers. Thirdly, we show a series of results to verify the accuracy and effectiveness of our method.

Original language	English
Title of host publication	Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers
Editors	Lap-Kei LEE, Leong Hou U, Fu Lee WANG, Simon K. CHEUNG, Oliver AU, Kam Cheong LI
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	295-307
Number of pages	13
ISBN (Print)	9789813345935
DOIs	https://doi.org/10.1007/978-981-33-4594-2_25
Publication status	E-pub ahead of print - 17 Dec 2020
Event	5th International Conference on Technology in Education, ICTE 2020 - Macao, China Duration: 19 Aug 2020 → 22 Aug 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1302
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	5th International Conference on Technology in Education, ICTE 2020
Country/Territory	China
City	Macao
Period	19/08/20 → 22/08/20

Bibliographical note

Funding Information:
The work described in this paper was supported by Philosophy and social science planning project of Guangdong province (GD19YTS02) and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS16/E01/19).

Keywords

Citation depth
Citation distribution
Citation evaluation
Citation nature
Content analysis

Access to Document

10.1007/978-981-33-4594-2_25

Cite this

WU, Q., HU, J., RAO, Y., WANG, F. L., & XIE, H. (2020). Influence evaluation of academic papers via citation characteristics analysis. In L.-K. LEE, L. H. U, F. L. WANG, S. K. CHEUNG, O. AU, & K. C. LI (Eds.), Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers (pp. 295-307). (Communications in Computer and Information Science; Vol. 1302). Springer Science and Business Media Deutschland GmbH. Advance online publication. https://doi.org/10.1007/978-981-33-4594-2_25

WU, Qingyuan ; HU, Jiahua ; RAO, Yanghui et al. / Influence evaluation of academic papers via citation characteristics analysis. Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers. editor / Lap-Kei LEE ; Leong Hou U ; Fu Lee WANG ; Simon K. CHEUNG ; Oliver AU ; Kam Cheong LI. Springer Science and Business Media Deutschland GmbH, 2020. pp. 295-307 (Communications in Computer and Information Science).

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title = "Influence evaluation of academic papers via citation characteristics analysis",

abstract = "Citation evaluation has become one of the important indexes to evaluate the paper influence. In the academic area, paper influence is quite important to evaluate the author{\textquoteright}s academic level, in addition to help researchers to identify important academic literatures. The traditional citation evaluation methods are mainly developed based on the citation frequency. Nevertheless, other citation characteristics, such as the nature, depth, and distribution are also valuable. Citation nature includes positive, neutral, and negative citations. The depth can be divided into deep, medium, and shallow citations, which could reveal the correlation and the degree of paper reference between citing and cited papers. The citation distribution contains three types: forepart, middle, and tail citations. The data sample of the empirical study is collected from highly cited papers in Chinese and English core journals. Firstly, by using content analysis methods, we analyze the citation evaluation from three dimensions of Chinese papers. Secondly, we compare the similarities and differences between Chinese and English papers. Thirdly, we show a series of results to verify the accuracy and effectiveness of our method.",

keywords = "Citation depth, Citation distribution, Citation evaluation, Citation nature, Content analysis",

author = "Qingyuan WU and Jiahua HU and Yanghui RAO and WANG, {Fu Lee} and Haoran XIE",

note = "Funding Information: The work described in this paper was supported by Philosophy and social science planning project of Guangdong province (GD19YTS02) and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS16/E01/19).; 5th International Conference on Technology in Education, ICTE 2020 ; Conference date: 19-08-2020 Through 22-08-2020",

year = "2020",

month = dec,

day = "17",

doi = "10.1007/978-981-33-4594-2_25",

language = "English",

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series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "295--307",

editor = "Lap-Kei LEE and U, {Leong Hou} and WANG, {Fu Lee} and CHEUNG, {Simon K.} and Oliver AU and LI, {Kam Cheong}",

booktitle = "Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers",

address = "Germany",

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WU, Q, HU, J, RAO, Y, WANG, FL & XIE, H 2020, Influence evaluation of academic papers via citation characteristics analysis. in L-K LEE, LH U, FL WANG, SK CHEUNG, O AU & KC LI (eds), Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1302, Springer Science and Business Media Deutschland GmbH, pp. 295-307, 5th International Conference on Technology in Education, ICTE 2020, Macao, China, 19/08/20. https://doi.org/10.1007/978-981-33-4594-2_25

Influence evaluation of academic papers via citation characteristics analysis. / WU, Qingyuan; HU, Jiahua; RAO, Yanghui et al.
Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers. ed. / Lap-Kei LEE; Leong Hou U; Fu Lee WANG; Simon K. CHEUNG; Oliver AU; Kam Cheong LI. Springer Science and Business Media Deutschland GmbH, 2020. p. 295-307 (Communications in Computer and Information Science; Vol. 1302).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Influence evaluation of academic papers via citation characteristics analysis

AU - WU, Qingyuan

AU - HU, Jiahua

AU - RAO, Yanghui

AU - WANG, Fu Lee

AU - XIE, Haoran

N1 - Funding Information: The work described in this paper was supported by Philosophy and social science planning project of Guangdong province (GD19YTS02) and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS16/E01/19).

PY - 2020/12/17

Y1 - 2020/12/17

N2 - Citation evaluation has become one of the important indexes to evaluate the paper influence. In the academic area, paper influence is quite important to evaluate the author’s academic level, in addition to help researchers to identify important academic literatures. The traditional citation evaluation methods are mainly developed based on the citation frequency. Nevertheless, other citation characteristics, such as the nature, depth, and distribution are also valuable. Citation nature includes positive, neutral, and negative citations. The depth can be divided into deep, medium, and shallow citations, which could reveal the correlation and the degree of paper reference between citing and cited papers. The citation distribution contains three types: forepart, middle, and tail citations. The data sample of the empirical study is collected from highly cited papers in Chinese and English core journals. Firstly, by using content analysis methods, we analyze the citation evaluation from three dimensions of Chinese papers. Secondly, we compare the similarities and differences between Chinese and English papers. Thirdly, we show a series of results to verify the accuracy and effectiveness of our method.

AB - Citation evaluation has become one of the important indexes to evaluate the paper influence. In the academic area, paper influence is quite important to evaluate the author’s academic level, in addition to help researchers to identify important academic literatures. The traditional citation evaluation methods are mainly developed based on the citation frequency. Nevertheless, other citation characteristics, such as the nature, depth, and distribution are also valuable. Citation nature includes positive, neutral, and negative citations. The depth can be divided into deep, medium, and shallow citations, which could reveal the correlation and the degree of paper reference between citing and cited papers. The citation distribution contains three types: forepart, middle, and tail citations. The data sample of the empirical study is collected from highly cited papers in Chinese and English core journals. Firstly, by using content analysis methods, we analyze the citation evaluation from three dimensions of Chinese papers. Secondly, we compare the similarities and differences between Chinese and English papers. Thirdly, we show a series of results to verify the accuracy and effectiveness of our method.

KW - Citation depth

KW - Citation distribution

KW - Citation evaluation

KW - Citation nature

KW - Content analysis

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U2 - 10.1007/978-981-33-4594-2_25

DO - 10.1007/978-981-33-4594-2_25

M3 - Conference paper (refereed)

AN - SCOPUS:85098265657

SN - 9789813345935

T3 - Communications in Computer and Information Science

SP - 295

EP - 307

BT - Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers

A2 - LEE, Lap-Kei

A2 - U, Leong Hou

A2 - WANG, Fu Lee

A2 - CHEUNG, Simon K.

A2 - AU, Oliver

A2 - LI, Kam Cheong

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Conference on Technology in Education, ICTE 2020

Y2 - 19 August 2020 through 22 August 2020

ER -

WU Q, HU J, RAO Y, WANG FL, XIE H. Influence evaluation of academic papers via citation characteristics analysis. In LEE LK, U LH, WANG FL, CHEUNG SK, AU O, LI KC, editors, Technology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 295-307. (Communications in Computer and Information Science). Epub 2020 Dec 17. doi: 10.1007/978-981-33-4594-2_25

Influence evaluation of academic papers via citation characteristics analysis

Abstract

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Bibliographical note

Keywords

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