AI-Powered Free Academic Paper Search Tool

Here is a recommended AI-based academic paper search tool accessible within China: Semantic Scholar.

Founded in 2015, Semantic Scholar initially covered only a few fields such as computer science, neuroscience, and earth sciences. It has since expanded to include all academic disciplines, including biomedicine and mathematics.

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Currently, Semantic Scholar has indexed over 200 million papers.

Semantic Scholar differs from typical academic search engines. Its mission is to use artificial intelligence to facilitate scientific breakthroughs. Its main features include:

1. Search and Discovery:

  1. Enables interdisciplinary paper searches using keywords, authors, publication years, and other criteria.

  2. Its keyword search function goes beyond simple fuzzy matching; it attempts to understand and query the extended meaning of the papers.

  3. Each paper contains comprehensive information, including abstracts, citation counts, references, related papers, authors, publications, and topics.

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2. Content Enhancement:

  1. TLDR: Too Long, Didn’t Read
    Every paper has a concise summary to facilitate quick understanding and review.

  2. AI-Based Content Extension
    Artificial intelligence automatically identifies which citations are meaningful, ranks the importance of references, and suggests related papers based on AI analysis.

  3. Intelligent Recommendations
    The system recommends additional papers tailored to users’ interests based on their usage patterns.

  4. API Support
    Semantic Scholar offers open APIs, knowledge graphs, and datasets to support secondary development by users or institutions.

Most features of Semantic Scholar are currently free and can be used directly without registration. Its search results are AI-driven, enabling users to quickly find relevant academic papers.