Abstract: 【Purpose/significance】Digital reading has brought great changes to people's knowledge and information acquisition. Identi⁃ fying research hotspots and themes evolution path in digital reading will help to establish a dynamic panoramic vision of digital read⁃ ing.【Method/process】This article uses high-level papers in digital reading domain as the basic data source, constructs domain knowl⁃ edge network based on the co-occurrence keywords, and identifies research hotspots through high-frequency and high-degree key⁃ words. The SLM community discovery algorithm and density visualization of theme are used to track the themes evolution path.【Re⁃ sult/conclusion】The results show that the digital reading domain has a relatively stable knowledge structure; from digital publishing to reading promotion to problem resolution, digital reading is gradually becoming mature; from focusing on reading form to focusing on reading effect, digital reading has entered a connotative development path.【Innovation/limitation】The research work mainly focuses on the representative high-level research, and future research work will incorporate a wider range of data sources for more comprehen⁃ sive and detailed research.