Liu, X., Xuan, G., & Safarzadeh, J. (2025). Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-21629-8
ISO-690 (author-date, English)LIU, Xiaofei, XUAN, Gang and SAFARZADEH, Jafar, 2025. Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-21629-8.
Modern Language Association 9th editionLiu, X., G. Xuan, and J. Safarzadeh. “Examination of Hydrological Variations and Their Effect on Water Shortage Trends and Water-Energy Production Using Convolutional Neural Network and ISSA”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-21629-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Liu, Xiaofei/Xuan, Gang/Safarzadeh, Jafar: Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA, Scientific Reports 2025,
Emerald - HarvardLiu, X., Xuan, G. and Safarzadeh, J. (2025), “Examination of hydrological variations and their effect on water shortage trends and water-energy production using convolutional neural network and ISSA”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-21629-8.