BACKGROUND: Accurate assessment of the quality of academic journals is of great significance. While Journal Impact Factor (JIF), calculated by Clarivate and based upon the Web of Science literature database, and CiteScore (CS), developed by Elseiver and based upon the Scopus database, have enjoyed high uptake worldwide, efforts continue towards creation of other scientometric indexes that will provide ever-greater qualitative insights into journal impact. Such efforts have yielded the newly-launched (), which is based on the () database, an open multidisciplinary citation analysis database based on artificial intelligence technology. AIM: To evaluate and summarize the similarities and differences between and JIF/CS as journal evaluation indicators, and provide an intuitive method for visual representation of the related data. METHODS: We searched the Journal Citation Reports to obtain the 2021 JIF list, downloaded the CS list updated in July on the Scopus website, and collected the comprehensive list of 2022 s from the database (www.referencecitationanalysis.com). RESULTS: Our research results revealed that by breaking through the time limit of mainstream journal evaluation methods, the is able to perform well in data reliability, establishing its benefit as a complementary scientometric index to JIF and CS. CONCLUSION: provides comprehensive assessment of the quality and performance of journals.