APA (7th ed.) Citation

Wang, F., Liang, R., Li, S., Xiang, M., Yang, W., Lu, M., & Song, Y. Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning method. Elsevier.

Chicago Style (17th ed.) Citation

Wang, Feng, Ruilin Liang, Shuyue Li, Meiyan Xiang, Weihao Yang, Miao Lu, and Yingqiang Song. Assessing the Impact of Multi-source Environmental Variables on Soil Organic Carbon in Different Land Use Types of China Using an Interpretable High-precision Machine Learning Method. Elsevier.

MLA (9th ed.) Citation

Wang, Feng, et al. Assessing the Impact of Multi-source Environmental Variables on Soil Organic Carbon in Different Land Use Types of China Using an Interpretable High-precision Machine Learning Method. Elsevier.