About this skill

Problem

When preparing a review, systematic search, or literature scan, a single database rarely covers everything: English papers are spread across OpenAlex, Crossref, arXiv, and PubMed, while Chinese sources may appear in CNKI, Wanfang, or Baidu Scholar. Manually querying, deduplicating, and normalizing author, year, and DOI fields is repetitive and error-prone.

How It Works

This skill structures an academic search workflow:
- Multi-source search: query OpenAlex, Crossref, Semantic Scholar, arXiv, PubMed, CORE, and DOAJ via REST APIs; use web_search for compliant Chinese results from CNKI, Wanfang, and Baidu Scholar.
- Routing and parallel queries: select sources by keywords, DOI, author, topic, patent, or preprint needs, then sort by relevance, citations, or date.
- Deduplication and normalization: merge duplicates using DOI, title similarity, and author/year signals; output fields such as title, authors, year, source, and DOI.
- Downstream integration: results can be exported as a literature matrix for later filtering, close reading, or literature-mining workflows.

Boundaries

It provides metadata discovery, not full-text download or paywall bypass. Citation counts, journal rank, author disambiguation, and cross-database conflicts should still be verified against the original source. Preserve search timestamps and check each entry before citing or writing.

Screenshots

Use Cases

When drafting a review, pull English and Chinese candidates on head-forming process optimization from multiple databases and merge them into one deduplicated matrix.
When verifying a reference, look up an exact DOI or PMID and collect normalized title, authors, year, source, and database for citation prep.
For biomedical topics, search PubMed and open repositories for recent papers, then rank results by relevance or citations to build a shortlist.
When tracking a scholar or institution, retrieve recent publications by author or affiliation to identify research trajectory and possibly missed key papers.

Best For

Graduate students writing reviews who need to combine Chinese and English candidate papers into one deduplicated initial matrix.
Research assistants running systematic searches who need database-specific, time-filtered, and citation-ranked shortlists that can be checked later.
Research engineers managing literature pipelines who need DOI, author, or topic results converted into a downstream close-reading format.
Doctoral researchers checking Chinese sources who need compliant CNKI, Wanfang, and Baidu Scholar metadata without full-text download.

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Knowledge Management 2026.08.30 ↓ 2.6K