《澳门求索》被百度学术索引：当跨学科研究接入中文AI学术搜索新生态（Quest Macau Indexed by Baidu Scholar: When Interdisciplinary Research Connects to the New Ecosystem of Chinese AI Academic Search）

Abstract: In the Chinese context, the discovery and dissemination of academic outputs need to be more aligned with the usage habits of local researchers. Quest Macau (ISSN 3081-1414, eISSN 3081-1422, CODEN: AQABAF, DOI prefix: https://doi.org/10.66106/aqabaf), a gold open-access Chinese-language academic quarterly 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. Rooted in Macau, the journal focuses on interdisciplinary and cross-cutting research. 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 the Chinese context. This article, taking into account the journal's positioning and characteristics, analyzes the practical value of this indexing for the journal's dissemination.