Abstract: In the Chinese context, the discovery and dissemination of academic outputs need to be more aligned with the usage habits of local researchers. Water Resources and Hydropower Engineering Technology (ISSN 3081-1392, eISSN 3081-1406, CODEN: SSGKCE, DOI prefix: https://doi.org/10.66106/ssgkce, Import Registration Number: G015Z108), a gold open-access Chinese-language bimonthly journal published by Quest Press Limited, has recently been officially indexed by Baidu Scholar. As the largest academic search engine in China, Baidu Scholar underwent an AI restructuring in August 2025, launching dozens of new AI capabilities including AI academic search, AI literature summarization, AI reading, and paper knowledge graphs, transforming from a traditional academic search engine into a one-stop AI academic platform. Currently, Baidu Scholar has indexed over 2.7 billion academic resource pages and collected more than 700 million academic documents, providing nearly 3 billion services annually to tens of millions of academic users. The journal focuses on sustainable utilization of water resources and innovative development of hydropower energy. All accepted articles undergo rigorous international peer review and are published under the CC BY 4.0 license, making them permanently and freely accessible. Being indexed by Baidu Scholar will enable the journal's research outputs to leverage AI technology for intelligent recommendation and precise targeting, better serving researchers in hydraulic engineering within the Chinese context. This article, taking into account the journal's positioning, analyzes the practical value of this indexing.
Water Resources Hydropower Eng. Technol. 《水利水电工程科技》编辑部 Editorial Office (Wed,) studied this question.