APA (7th ed.) Citation

Cheng, H., Johansen, K., Jin, B., Xu, S., Zhao, X., Han, L., & McCabe, M. F. (2025). Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change. Elsevier.

Chicago Style (17th ed.) Citation

Cheng, Hua, Kasper Johansen, Baocheng Jin, Shiqin Xu, Xuechun Zhao, Liqin Han, and Matthew F. McCabe. Human Footprint with Machine Learning Identifies Risks of the Invasive Weed Conyza Sumatrensis Across Land-use Types Under Climate Change. Elsevier, 2025.

MLA (9th ed.) Citation

Cheng, Hua, et al. Human Footprint with Machine Learning Identifies Risks of the Invasive Weed Conyza Sumatrensis Across Land-use Types Under Climate Change. Elsevier, 2025.