Jianyong Wu

Jianyong Wu's research centers on environmental water quality and contamination issues, including fecal and microplastic pollution in water and soil, and how these are affected by factors like land use, climate, and freeze-thaw cycles. Recent work also applies machine learning and remote sensing tools to track contamination sources and monitor environmental hazards such as harmful algal blooms and wildfire smoke. The publication record spans multiple environmental science subfields, suggesting a broad, applied focus on water and soil quality with growing use of data-driven and AI methods.

Publication output has grown markedly in recent years, rising from low single digits annually in the mid-2010s to a peak of 18 publications in 2025, indicating an accelerating and increasingly active research output.

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