Da Qi

Aberystwyth University

Papers

2

Total Citations

53

H-Index

2

About

Dr. Da Qi is a leading researcher at the intersection of artificial intelligence, ontology engineering, and pharmaceutical science. Their primary contributions lie in formalizing the complex, data-rich landscape of drug discovery through structured knowledge representation. Dr. Qi’s most influential work centers on the development of an ontology for Drug Discovery Investigation (DDI), a framework designed to define the core entities and relationships within the research and development phase of drug creation. This ontology was notably developed in conjunction with the "Robot Scientist" Eve, an automated laboratory system, and in close consultation with industry partners. The DDI ontology has garnered significant attention, with their foundational 2010 paper accumulating over 50 combined citations, underscoring its impact on both academic research and practical, industrial applications. By providing a standardized vocabulary and logical structure, Dr. Qi’s work enables more efficient data integration, sharing, and automated reasoning across disparate drug discovery projects. This achievement positions Dr. Qi as a key figure in advancing the semantic web and AI-driven automation within the life sciences, paving the way for more intelligent and collaborative scientific discovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
53
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
An Ontology for Description of Drug Discovery Investigations
28 citations · 2010
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Aberystwyth University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago