Match tier Listed
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Lan Ying

Researcher

NCTR

Also affiliated: Chengdu University of Technology (2008); The Engineering & Technical College of Chengdu University of Technology (2008); Shanghai Maritime University (2018–2019)

Unknown Researcher

3 h-index 4 pubs 27 cited

Research Areas

Biomedical Subjects

  • Drug Labeling
  • United States Food and Drug Administration
  • Humans
  • Natural Language Processing
  • United States
  • Drug-Related Side Effects and Adverse Reactions

OverviewAI-generated summary

Lan Ying's research focuses on the application of natural language processing techniques to analyze and summarize complex documents, particularly within the realm of drug labeling. Their work investigates how artificial intelligence, such as ChatGPT, can be utilized to extract key information and generate concise summaries from drug labeling documents. This research aims to improve the accessibility and understanding of critical drug information for various stakeholders.

Ying has published on the use of text summarization tools for drug labeling. Their scholarship metrics include an h-index of 3, with a total of 4 publications and 25 citations. Ying collaborates with colleagues at the National Center for Toxicological Research, including Weida Tong, Leihong Wu, and Hong Fang, on shared publications.

Metrics

  • h-index: 3
  • Publications: 4
  • Citations: 27

Selected Publications

  • Text summarization with ChatGPT for drug labeling documents (2024)
    Drug Discovery Today 16 citations DOI OpenAlex

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Collaboration Network

6 Collaborators 2 Institutions 1 Country

Top Collaborators

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