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"
來源於7w4.net。

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

這個工具用起來還不錯，能快速搜尋學術論文，結果來自可靠的學術資料庫，不需要註冊就能用，還支援按年份、引用數等條件篩選。但它是通過命令列操作的，對普通使用者來說不夠直觀，引數設定有點複雜。另外，它叫"Google Scholar Search"但實際用的是另一個數據庫的名字，容易讓人混淆。搜尋結果只給摘要，沒有全文預覽，評估論文時不夠方便。總體適合有學術需求的使用者使用，但介面設計還有改進空間。