CiteOpinion: Evidence-based Evaluation Tool for Academic Contributions of Research Papers Based on Citing Sentences

Le Xiaoqiu; Chu Jingdan; Deng Siyi; Jiao Qihang; Pei Jingjing; Zhu Liya; Yao Junliang

doi:10.2478/jdis-2019-0019

Journal of Data and Information Science (Dec 2019)

CiteOpinion: Evidence-based Evaluation Tool for Academic Contributions of Research Papers Based on Citing Sentences

Le Xiaoqiu,
Chu Jingdan,
Deng Siyi,
Jiao Qihang,
Pei Jingjing,
Zhu Liya,
Yao Junliang

Affiliations

Le Xiaoqiu: National Science Library, Chinese Academy of Sciences, Beijing100190, China
Chu Jingdan: University of Chinese Academy of Sciences, Beijing100190, China
Deng Siyi: University of Chinese Academy of Sciences, Beijing100190, China
Jiao Qihang: University of Chinese Academy of Sciences, Beijing100190, China
Pei Jingjing: University of Chinese Academy of Sciences, Beijing100190, China
Zhu Liya: National Science Library, Chinese Academy of Sciences, Beijing100190, China
Yao Junliang: University of Chinese Academy of Sciences, Beijing100190, China

DOI: https://doi.org/10.2478/jdis-2019-0019
Journal volume & issue: Vol. 4, no. 4
pp. 26 – 41

Abstract

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To uncover the evaluation information on the academic contribution of research papers cited by peers based on the content cited by citing papers, and to provide an evidence-based tool for evaluating the academic value of cited papers.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

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Abstract

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