LabCompass

Ying Ding

Physics and Astronomy · Indiana University

Publications

760

Citations

17,094

Est. group size

Recurring co-author estimate

Active years

37

Publishing since 1990

Research summary
AI-generated

Ying Ding's bibliographic record centers on information science methods, including analyzing complex networks, building knowledge graphs and semantic ontologies, and applying text mining and large language models to biomedical and academic data. Recent work emphasizes using AI systems (such as large language models and multi-agent frameworks) for tasks like academic question answering, extracting health information from clinical notes, and detecting errors in medical AI outputs. The listed publications span many fields, but the core methodological themes involve data science applied to scholarly and biomedical information.

Knowledge graphs and semantic webText mining and large language models in biomedicineScientometrics and analysis of research activityComplex network analysisHuman-AI collaboration frameworks

Publication activity grew notably around 2020-2022 and has remained high in recent years, with the 2026 count reflecting an incomplete year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 38.6/year recently
2017: 30 publications172018: 34 publications182019: 24 publications192020: 47 publications202021: 62 publications62212022: 61 publications222023: 43 publications232024: 50 publications242025: 32 publications252026: 7 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×47
  • Lecture notes in computer science×18
  • Figshare×12
  • SSRN Electronic Journal×10
  • Journal of the Association for Information Science and Technology×9

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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