Yuan, P., Li, H., Yi, X., Wang, J., Ning, C., Xu, X., & Nong, X. (2025). Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-10187-8
ISO-690 (author-date, English)YUAN, Peng, LI, Hengchang, YI, Xianjie, WANG, Jieyun, NING, Chunping, XU, Xiangyu and NONG, Xizhi, 2025. Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-10187-8.
Modern Language Association 9th editionYuan, P., H. Li, X. Yi, J. Wang, C. Ning, X. Xu, and X. Nong. “Optimizing Water Quality Index Using Machine Learning: A Six-Year Comparative Study in Riverine and Reservoir Systems”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-10187-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Yuan, Peng/Li, Hengchang/Yi, Xianjie/Wang, Jieyun/Ning, Chunping/Xu, Xiangyu et al.: Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems, Scientific Reports 2025,
Emerald - HarvardYuan, P., Li, H., Yi, X., Wang, J., Ning, C., Xu, X. and Nong, X. (2025), “Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-10187-8.