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Core functions:

1. Multidimensional faceted clustering：The search results can be clustered in any dimension according to the time dimension, document type dimension, topic dimension, subject dimension, author dimension, institutional dimension, and authoritative tool inclusion dimension of various documents.

2. Intelligent assisted retrieval:With the help of the built-in normative knowledge base and the users' historical retrieval to discover behaviors and habits, it can automatically identify and switch to the field that is most appropriate to the users' recent behaviors, so as to help them grasp the connotation of the retrieved topic in real time.

3. Stereoscopic citation analysis：Realize the mutual reference and mutual citation relationship between books and books, between journals and periodicals, between books and periodicals, and other types of documents.

4. Demonstrate knowledge correlation：Through the chain and network structure formed by unidirectional or bidirectional linear knowledge association, the association graph of subject, discipline, author, institution and region is formed, so as to reflect the mutual influence and source of academic ideas.

5. Reveal academic trends：It reveals the time series trend chart of any subject academic research. From the large time scale and comprehensive data analysis, it can deeply understand the starting point, growth, ups and downs and rise and fall of the research in this field, and grasp the course and trend of the development of things from the whole.

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