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 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
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
UR - http://www.scopus.com/inward/record.url?scp=85098265657&partnerID=8YFLogxK
U2 - 10.1007/978-981-33-4594-2_25
DO - 10.1007/978-981-33-4594-2_25
M3 - Conference contribution
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
T2 - 5th International Conference on Technology in Education, ICTE 2020
Y2 - 19 August 2020 through 22 August 2020
ER -