Biography and Research Information
OverviewAI-generated summary
Lan Ying's research focuses on applying advanced computational techniques to scientific documentation. Their recent publication explores the use of ChatGPT for text summarization of drug labeling documents, indicating an interest in leveraging artificial intelligence for efficient information processing in the pharmaceutical and regulatory domains. Ying's scholarly record includes a total of four publications and has garnered 23 citations, with an h-index of 3. Key collaborators include Leihong Wu and Hong Fang, both from the National Center for Toxicological Research, with whom Ying has co-authored one publication each. This collaborative network suggests a focus on research within toxicological and pharmaceutical contexts.
Metrics
- h-index: 3
- Publications: 4
- Citations: 23
Selected Publications
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Text summarization with ChatGPT for drug labeling documents (2024)
Collaboration Network
Top Collaborators
- Text summarization with ChatGPT for drug labeling documents
- Text summarization with ChatGPT for drug labeling documents
- Text summarization with ChatGPT for drug labeling documents
- Text summarization with ChatGPT for drug labeling documents
- Text summarization with ChatGPT for drug labeling documents
- Text summarization with ChatGPT for drug labeling documents
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