APA (7th ed.) Citation

Yang, Y., Cen, X., Ni, H., Liu, Y., Chen, Z. J., Yang, J., & Hong, B. (2025). A highly accurate and robust prediction framework for drilling rate of penetration based on machine learning ensemble algorithm. Geoenergy Science and Engineering, 244, 213423. https://doi.org/10.1016/j.geoen.2024.213423

Chicago Style (17th ed.) Citation

Yang, Yuxiang, Xiao Cen, Haocheng Ni, Yibin Liu, Zhangxing John Chen, Jin Yang, and Bingyuan Hong. "A Highly Accurate and Robust Prediction Framework for Drilling Rate of Penetration Based on Machine Learning Ensemble Algorithm." Geoenergy Science and Engineering 244 (2025): 213423. https://doi.org/10.1016/j.geoen.2024.213423.

MLA (9th ed.) Citation

Yang, Yuxiang, et al. "A Highly Accurate and Robust Prediction Framework for Drilling Rate of Penetration Based on Machine Learning Ensemble Algorithm." Geoenergy Science and Engineering, vol. 244, 2025, p. 213423, https://doi.org/10.1016/j.geoen.2024.213423.