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To improve the deficiencies of the existing journal influencing evaluation indexes, which have single influencing factors and are greatly affected by the number of papers published, this paper proposes a new evaluation of the journal influence method based on the RA index.

In the metrics create, the paper introduces the RA index for evaluating the impact of authors and analyzing its feasibility in journal evaluation. Then the RA index is divided by the number of journal's published papers to obtain the RAQ index to evaluate journal impact. In the metrics analysis, the authors analyze the statistical characteristics of the RAQ index using statistical analysis, and t-test, Roc curve and PLS were used to analyze the relationship between the RAQ index and other indicators.

Empirical results show that the RAQ index can effectively identify high-quality journals and reduce the number of published papers on journal evaluation. The empirical results show that the RAQ index has higher stability and discrimination than the h-index and g-index. Compared with other indexes, the RAQ index has better evaluation effects and statistical characteristics.

The current study proposes journals' RAQ index, which integrates the influence of high-, low- and zero-cited papers. It solves the problem of the virtual high of the h-type index. The findings will contribute to the evaluation of journal influence by offering a new research idea that facilitates the fairness and rationality of journal evaluation.

This study distinguishes the academic influence of different papers published in journals of the same subject or field based on the modification of the journal impact factor.

Taking SSCI journals in library and information science (LIS) as the research object, the authors first explore the skewness degree of the citation distribution of journal articles. Then, we define the paper citation ratio as the weight of impact factor to modify the journal impact factor for the evaluation of papers, namely the weighted impact factor. The authors further explore the feasibility of the weighted impact factor in evaluating papers.

The research results show that different types of skewness exist in the citation distribution of journal papers. Particularly, 94% of journal paper citations are highly skewed, while the rest are moderately skewed. The weighted impact factor has a closer correlation with the citation frequency of papers than the journal impact factor. It resolves the issue that the journal impact factor tends to exaggerate the influence of low-cited papers in journals with high impact factors or weaken the influence of high-cited papers in journals with low impact factors.

The weighted impact factor is constructed based on the skewness of the citation distribution of journal articles. It provides a new method to distinguish the academic influence of different papers published in journals of the same subject or field, then avoids the situation that papers published in the same journal having the same academic impact.