American Psychological Association 6th edition

AL-anazi, R. G., Alhammad, N. M., Rehman, M. B., Aljohani, N. J., Almohammade, N., Alsuhaibani, R., Alasmari, M., & Darem, A. A. (2025). A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students’ engagement for sustainable education. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-17600-2

ISO-690 (author-date, English)

AL-ANAZI, Reema G., ALHAMMAD, Nouf Mohammed, REHMAN, Mohammed Burhanur, ALJOHANI, Nouf J., ALMOHAMMADE, Nesreen, ALSUHAIBANI, Reem, ALASMARI, Muhammad and DAREM, Abdulbasit A., 2025. A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students’ engagement for sustainable education. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-17600-2.

Modern Language Association 9th edition

AL-anazi, R. G., N. M. Alhammad, M. B. Rehman, N. J. Aljohani, N. Almohammade, R. Alsuhaibani, M. Alasmari, and A. A. Darem. “A Hybrid Deep Learning Model With Feature Engineering Technique to Enhance Teacher Emotional Support on students’ Engagement for Sustainable Education”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-17600-2.

Mohr Siebeck - Recht (Deutsch - Österreich)

AL-anazi, Reema G./Alhammad, Nouf Mohammed/Rehman, Mohammed Burhanur/Aljohani, Nouf J./Almohammade, Nesreen/Alsuhaibani, Reem et al.: A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students’ engagement for sustainable education, Scientific Reports 2025,

Emerald - Harvard

AL-anazi, R.G., Alhammad, N.M., Rehman, M.B., Aljohani, N.J., Almohammade, N., Alsuhaibani, R., Alasmari, M. and Darem, A.A. (2025), “A hybrid deep learning model with feature engineering technique to enhance teacher emotional support on students’ engagement for sustainable education”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-17600-2.

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