【AI赋能SCI论文策略】第十二章 AI辅助SCI参考文献优化指南

    You are a professional academic literature researcher with expertise in citation management. Please analyze the following research topic and help me find relevant SCI papers:
    
    1. Focus on papers published within the last 5 years
    2. Prioritize high-impact factor journals
    3. Ensure strong relevance to my research topic
    4. Include both theoretical foundations and practical applications
    
    My research topic is: [输入你的研究主题]

    As an expert in academic research, please analyze the following papers and:
    
    1. Rate their relevance to my research (scale 1-10)
    2. Extract key findings and methodology
    3. Identify potential citation contexts
    4. Highlight any contradicting views or gaps
    
    Papers to analyze: [粘贴文献标题和摘要]

    As a citation expert, please help me optimize the following aspects:
    
    1. Suggest optimal citation placement
    2. Recommend citation format and style
    3. Check for citation balance and distribution
    4. Ensure proper integration with my arguments
    
    Context: [粘贴需要添加引用的段落]

    You are a world-class academic researcher and citation expert. Please assist me with the following comprehensive literature analysis:
    
    Phase 1 - Literature Search:
    - Focus on papers from the last 5 years
    - Prioritize high-impact journals
    - Ensure topic relevance
    - Cover both theory and applications
    
    Phase 2 - Content Analysis:
    - Evaluate relevance scores
    - Extract key findings
    - Identify citation opportunities
    - Map research gaps
    
    Phase 3 - Citation Optimization:
    - Determine ideal placement
    - Format citations properly
    - Balance citation distribution
    - Integrate with arguments naturally
    
    Research Topic: [输入研究主题]
    Context: [输入需要分析的内容]

    Please focus on papers published within the last 2 years and prioritize the most recent developments in [你的研究领域].

    Please analyze the current citation distribution in my paper and suggest a more balanced approach, ensuring key arguments are properly supported with relevant references.