LIU Pingping, RUAN Xuanmin, SHENG Libo, LYU Dongqing, NI Tianyue, CHENG Ying
LIBRARY TRIBUNE. 2025, 13(1): 49-58.
This paper proposes a quantitative method centered on peer review criteria for evaluating academic journals. It summarizes the consensus journal peer review criteria through thematic analysis,and quantifies the criteria through publishing quotient,D-index,novelty,and journal impact factor. Based on the TrustRank algorithm,this study develops a journal evaluation method that integrates peer review criteria and scientometric indicators. Using the FMS journals as the evaluation benchmark,the paper compares the method with two baseline indicators of JAF and JIF to verify its effectiveness based on the citation data of the CSSCI database from 1998 to 2018. The results show that the proposed method achieves a high accuracy of 82.61% in identifying T1 journals,and the top 10 identified journals are all of T1 rank,with an accuracy rate of 100%,which is a significant improvement in the identification performance compared with the two baseline indicators. Notably,the publishing quotient performs well in evaluating journals,while the D-index underperforms.