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Google Scholar Search

Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. U...

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name: google-scholar-search description: Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. Use when searching academic literature, finding research papers on specific topics, finding citation counts and paper metadata, getting paper abstracts and author information, or looking for papers from specific years or with minimum citations.

Google Scholar Search

Search academic papers using the free Semantic Scholar API. No API key required.

Quick Start

Basic search:

python3 {baseDir}/scripts/search_papers.py "machine learning transformers"

Search with filters:

python3 {baseDir}/scripts/search_papers.py "deep learning" --limit 5 --year 2020-2023 --min-citations 10

Search Options

  • --limit N: Number of results (default: 10, max: 100)
  • --year YYYY-YYYY: Filter by year range (e.g., "2020-2023" or "2023")
  • --min-citations N: Minimum citation count
  • --json: Output in JSON format for machine processing

Get Paper Details

Retrieve detailed information about a specific paper:

python3 {baseDir}/scripts/search_papers.py --details <paper-id>

Returned Data

Each paper includes:

  • title: Paper title
  • authors: List of authors with names
  • year: Publication year
  • venue: Journal or conference name
  • citationCount: Number of citations
  • abstract: Paper abstract
  • url: Link to Semantic Scholar page
  • openAccessPdf: Direct PDF link if available
  • paperId: Unique Semantic Scholar ID (for details lookup)

Examples

Search for recent AI papers:

python3 {baseDir}/scripts/search_papers.py "large language models" --year 2022-2024 --limit 10

Find highly cited papers on a topic:

python3 {baseDir}/scripts/search_papers.py "quantum computing" --min-citations 50 --limit 10

Get JSON output for integration:

python3 {baseDir}/scripts/search_papers.py "neural networks" --json --limit 20

Tips

  • Use specific keywords for better results
  • Filter by year to get recent research
  • Use --min-citations to find influential papers
  • The API is free and requires no authentication
  • For complex queries, try multiple related terms

如何使用「Google Scholar Search」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Google Scholar Search技能完成任务
  4. 结果即时呈现,支持继续对话优化

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