Academic Literature Rank Based On Sahits Algorithm

Academic literature rank put academic literatures with high academic influence to the front. In present, academic literature rank methods computed academic influence values based on some indicators. However, these methods needed to determine weights of different indicators. To address this problem, this paper proposed an academic literature rank based on SAHITS algorithm. This method achieved academic literature rank based on convergence authority values computed according to the citation network for academic literatures. The experimental results indicate that the SAHITS algorithm can better achieve academic literature rank. In conclusion, the SAHITS algorithm is important theoretical significance and broad application prospects for academic literature rank.