Semantic Scholar Search
Searches and retrieves metadata for peer-reviewed academic papers across major venues like IEEE, ACM, and Springer.
The Semantic Scholar skill is a powerful research tool for Claude Code that enables users to locate published journal and conference papers. Unlike preprint-focused tools, this skill provides critical impact metrics such as citation counts, venue metadata, and DOI links, making it ideal for empirical research and literature reviews. It allows users to perform targeted searches with advanced filters for publication year, citation volume, and field of study, ensuring researchers and developers can verify novelty and cite authoritative sources directly within their workflow.
主要功能
01Provides citation counts and impact metrics to assess paper authority
02Supports advanced filtering by publication type, year, and citation thresholds
03Accesses millions of published papers from IEEE, ACM, Springer, and others
04Handles direct lookups via DOI, ArXiv ID, or Semantic Scholar ID
05Retrieves AI-generated TLDR summaries and open-access PDF links
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使用场景
01Conducting comprehensive literature reviews for academic research or technical projects
02Verifying the novelty of a new algorithm or method against existing peer-reviewed literature
03Sourcing high-impact references and citations for technical documentation and reports