Semantic Scholar
AI-powered academic search engine by Allen Institute for AI (AI2).
Overview
API Endpoints
| Endpoint |
用途 |
/paper/search |
搜索论文 |
/paper/{paper_id} |
获取论文详情 |
/paper/{paper_id}/citations |
获取引用该论文的论文 |
/paper/{paper_id}/references |
获取该论文引用的论文 |
/author/search |
搜索作者 |
/author/{author_id} |
获取作者详情 |
/recommendations |
论文推荐 |
Search Papers
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query={keyword}&limit=50&fields=title,url,year,authors,citationCount,abstract,venue,openAccessPdf" | \
jq '.data[] | {
title: .title,
url: .url,
year: .year,
citations: .citationCount,
authors: [.authors[].name] | join(", "),
venue: .venue,
pdf: .openAccessPdf.url,
abstract: .abstract[:200]
}'
Search with Filters
Filter by Year
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query={keyword}&year=2024-2026&limit=50&fields=title,year,citationCount"
Filter by Venue (Conference/Journal)
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query={keyword}&venue=NeurIPS,ICML,ACL&limit=50&fields=title,venue,year"
Filter by Open Access
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query={keyword}&openAccessPdf&limit=50&fields=title,openAccessPdf"
Filter by Fields of Study
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query={keyword}&fieldsOfStudy=Computer Science&limit=50&fields=title,fieldsOfStudy"
Get Paper Details
# By Semantic Scholar ID
curl -s "https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=title,abstract,authors,citationCount,references"
# By ArXiv ID
curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2210.03629?fields=title,abstract,citationCount"
# By DOI
curl -s "https://api.semanticscholar.org/graph/v1/paper/DOI:10.18653/v1/2023.acl-long.1?fields=title,abstract"
Get Citations
curl -s "https://api.semanticscholar.org/graph/v1/paper/{paper_id}/citations?limit=50&fields=title,year,citationCount"
Search Authors
curl -s "https://api.semanticscholar.org/graph/v1/author/search?query=Yann%20LeCun&fields=name,hIndex,paperCount,citationCount"
Available Fields
Paper Fields
| Field |
Description |
paperId |
Semantic Scholar ID |
title |
Paper title |
abstract |
Abstract text |
year |
Publication year |
authors |
Author list |
citationCount |
Number of citations |
referenceCount |
Number of references |
venue |
Conference/Journal |
url |
Semantic Scholar URL |
openAccessPdf |
PDF link if available |
fieldsOfStudy |
Research fields |
tldr |
AI-generated TLDR summary |
embedding |
Paper embedding vector |
Author Fields
| Field |
Description |
authorId |
Author ID |
name |
Author name |
hIndex |
h-index |
paperCount |
Number of papers |
citationCount |
Total citations |
Output Format
## Semantic Scholar Papers
| # | Title | Year | Citations | Venue |
|---|-------|------|-----------|-------|
| 1 | [Title](url) | 2025 | 150 | NeurIPS |
| 2 | [Title](url) | 2025 | 100 | ICML |
### Highly Cited
1. **[Paper Title](url)** - 500 citations
> Abstract preview...
### With PDF
1. [Paper Title](pdf_url) - Open Access
Rate Limits
| Tier |
Limit |
Notes |
| 无 API Key |
100 requests / 5 min |
适合测试 |
| 有 API Key |
1 request / second |
免费申请 |
| Partner |
更高 |
需联系 AI2 |
申请 API Key
- 访问 https://www.semanticscholar.org/product/api
- 点击 "Request API Key"
- 填写申请表单
- 通常 1-2 天审批
vs ArXiv
| 对比 |
Semantic Scholar |
ArXiv |
| 数据源 |
多源聚合 |
仅 ArXiv |
| API 稳定性 |
✅ 稳定 |
⚠️ 不稳定 |
| 引用数据 |
✅ 有 |
❌ 无 |
| TLDR 摘要 |
✅ AI 生成 |
❌ 无 |
| 作者搜索 |
✅ 支持 |
❌ 不支持 |
| 推荐系统 |
✅ 有 |
❌ 无 |
Notes
- 免费且无需认证即可使用
- 包含 ArXiv 论文 (通过
arXiv: 前缀查询)
- 引用数据每周更新
- TLDR 摘要由 AI 自动生成
- 推荐作为 ArXiv 的稳定替代方案
tools-only