LabCompass

David J. Yu

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1983
Water resources management and optimizationFlood Risk Assessment and ManagementTransboundary Water Resource ManagementHydrology and Watershed Management StudiesDisaster Management and Resilience

Publications

88

Citations

2,480

Est. group size

~2

Recurring co-author estimate

Active years

44

Publishing since 1983

Research summary
AI-generated

David J. Yu studies how water systems and human societies interact and shape each other, a field known as socio-hydrology. His work covers topics like flood resilience in cities, cooperation and conflict over shared rivers, groundwater governance, and the use of AI and social-media data to understand public attitudes toward water issues. Prospective students would likely engage with mixed methods combining hydrological modeling, agent-based simulation, and social science frameworks.

Socio-hydrology and human-water interactionsFlood risk and urban resilienceTransboundary and shared water resource governanceWater-related social data, AI and NLP applicationsDisaster and resilience management

Publication output rose sharply around 2020-2021, dipped notably in 2023, and has shown a modest resurgence in 2024-2026, suggesting an overall slowing compared to the 2020-2021 peak.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
2017: 4 publications172018: 4 publications182019: 4 publications192020: 14 publications202021: 15 publications15212022: 11 publications222023: 1 publication232024: 4 publications242025: 6 publications252026: 2 publications26
Recent publications
Publishes in
  • Water Resources Research×5
  • International Journal of the Commons×3
  • Hydrology and earth system sciences×3
  • Journal of Management in Engineering×3
  • Ecology and Society×3
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By research-topic overlap
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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 20, 2026.

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