Ge, H., Zhang, J., Ma, C., Hui, K., Li, Y., & Wu, Z. (2025). Rockburst intensity grading prediction based on the LOF-ENN-KNN model. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-15603-7
ISO-690 (author-date, English)GE, Haoran, ZHANG, Jiyong, MA, Congbo, HUI, Kai, LI, Yicong and WU, Ziniu, 2025. Rockburst intensity grading prediction based on the LOF-ENN-KNN model. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-15603-7.
Modern Language Association 9th editionGe, H., J. Zhang, C. Ma, K. Hui, Y. Li, and Z. Wu. “Rockburst Intensity Grading Prediction Based on the LOF-ENN-KNN model”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-15603-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Ge, Haoran/Zhang, Jiyong/Ma, Congbo/Hui, Kai/Li, Yicong/Wu, Ziniu: Rockburst intensity grading prediction based on the LOF-ENN-KNN model, Scientific Reports 2025,
Emerald - HarvardGe, H., Zhang, J., Ma, C., Hui, K., Li, Y. and Wu, Z. (2025), “Rockburst intensity grading prediction based on the LOF-ENN-KNN model”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-15603-7.