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

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)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 languageEnglish
Title of host publicationTechnology in Education. Innovations for Online Teaching and Learning - 5th International Conference, ICTE 2020, Revised Selected Papers
EditorsLap-Kei LEE, Leong Hou U, Fu Lee WANG, Simon K. CHEUNG, Oliver AU, Kam Cheong LI
PublisherSpringer Science and Business Media Deutschland GmbH
Pages295-307
Number of pages13
ISBN (Print)9789813345935
DOIs
Publication statusE-pub ahead of print - 17 Dec 2020
Event5th International Conference on Technology in Education, ICTE 2020 - Macao, China
Duration: 19 Aug 202022 Aug 2020

Publication series

NameCommunications in Computer and Information Science
Volume1302
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Conference on Technology in Education, ICTE 2020
CountryChina
CityMacao
Period19/08/2022/08/20

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

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