APA (7th ed.) Citation

Qu, Z., Xiao, R., Yang, K., Li, M., Hu, X., Liu, Z., . . . Li, C. (2025). Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection. Journal of environmental management, 374, 124011. https://doi.org/10.1016/j.jenvman.2024.124011

Chicago Style (17th ed.) Citation

Qu, Zhongke, Ruizhi Xiao, Ke Yang, Mingjuan Li, Xinyu Hu, Zhichao Liu, Xilian Luo, Zhaolin Gu, and Chengwei Li. "Enhancing Meteorological Data Reliability: An Explainable Deep Learning Method for Anomaly Detection." Journal of Environmental Management 374 (2025): 124011. https://doi.org/10.1016/j.jenvman.2024.124011.

MLA (9th ed.) Citation

Qu, Zhongke, et al. "Enhancing Meteorological Data Reliability: An Explainable Deep Learning Method for Anomaly Detection." Journal of Environmental Management, vol. 374, 2025, p. 124011, https://doi.org/10.1016/j.jenvman.2024.124011.