Research Interest :
Migration, transformation, and risk assessment of emerging contaminants;
Combined toxicity effects of emerging contaminants;
Environmental big data and machine learning;
Large-scale spatial prediction of emerging contaminants.
Featured Publications :
1. Jian Chen, Gang Yu*, Zongwei Cai*, et al. Curbing six key sources could halve pharmaceutical mixture exceedance in global rivers. Nature Geoscience, 2026 (Accepted).
2. Jian Chen, Zongwei Cai*, et al. Global mapping of pharmaceutical ecological risk in rivers using machine learning: drivers, hotspots, and compounded water stress. Water Research, 2026, 291, 125184.
3. Jian Chen*, Gang Yu, et al. Unveiling PFAS hazard in European surface waters using an interpretable machine-learning model. Environment International, 2025, 199, 109504.
4. Jian Chen, Gang Yu*, et al. Mitigating pesticide mixture hazard in global surface waters through agricultural management. One Earth, 2024, 8(1), 101163.
5. Jian Chen, Gang Yu*, et al. Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach. Environment International, 2024, 194, 109154.
6. Jian Chen, Gang Yu*, et al. A machine-learning approach clarifies interactions between contaminants of emerging concern. One Earth, 2022, 5: 1239-1249.
7. Jian Chen, Xinghui Xia*, et al. Cation−π Interactions with coexisting heavy metals enhanced the uptake and accumulation of polycyclic aromatic hydrocarbons in spinach. Environment Science and Technology, 2020, 54: 7261-7270.
8. Jian Chen, Xinghui Xia*, et al. The combination of warming and copper decreased accumulation in spinach and the cancer risk of polycyclic aromatic hydrocarbons. Science of the Total Environment, 2020, 727: 138732.
9. Jian Chen, Xinghui Xia*, et al. Uptake pathway and accumulation of polycyclic aromatic hydrocarbons in spinach affected by warming in enclosed soil/water-air-plant microcosms. Journal of Hazardous Materials, 2019, 379: 120831.
10. Jian Chen, Di Zhang*, Bo Pan, et al. Fast and slow adsorption of carbamazepine on biochar as affected by carbon structure and mineral composition. Science of the Total Environment, 2016, 579: 598-605.
Course offered :