American Psychological Association 6th edition

Cui, M., Hou, E., Feng, D., Che, X., Xie, X., & Hou, P. (2025). Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), 1-16. https://doi.org/10.1007/s10230-024-01021-0

ISO-690 (author-date, English)

CUI, Mingyi, HOU, Enke, FENG, Dong, CHE, Xiaoyang, XIE, Xiaoshen and HOU, Pengfei, 2025. Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA). 28 January 2025. P. 1-16. DOI 10.1007/s10230-024-01021-0.

Modern Language Association 9th edition

Cui, M., E. Hou, D. Feng, X. Che, X. Xie, and P. Hou. “Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China”. Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), Jan. 2025, pp. 1-16, https://doi.org/10.1007/s10230-024-01021-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Cui, Mingyi/Hou, Enke/Feng, Dong/Che, Xiaoyang/Xie, Xiaoshen/Hou, Pengfei: Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China, Mine Water and the Environment: Journal of the International Mine Water Association (IMWA) 2025, 1-16.

Emerald - Harvard

Cui, M., Hou, E., Feng, D., Che, X., Xie, X. and Hou, P. (2025), “Identification of the Water Inrush Source Based on the Deep Learning Model for Mines in Shaanxi, China”, Mine Water and the Environment: Journal of the International Mine Water Association (IMWA), pp. 1-16.

Warning: These citations may not always be 100% accurate.