qinyan-topic-analysis

Generate research topics from literature search results by inputting a research field, and the system uses the沁言学术 OpenAPI to return 3-5 differentiated, executable topic suggestions with supporting papers.

Automated topic analysis helps literature review preparation by structuring large-scale literature search results into topic directions, research value assessments, content overviews, and relevant paper recommendations to identify research gaps.

Running literature search and topic suggestions requires a valid QINYAN_API_KEY, with curl and python3 available in your environment, to access the necessary search workflow scripts.

You can use python3 scripts for research design planning across different academic disciplines, as the system provides cross-discipline topic directions, feasibility assessments, and trend analysis for research planning workflows.

The best way to identify research gaps and prioritize topic selection is to analyze trend data and research blanks generated from large-scale literature search results, evaluating the value and feasibility of each direction.