American Psychological Association 6th edition

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 und WU, Ziniu, 2025. ‌Rockburst intensity grading prediction based on the LOF-ENN-KNN model‌. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-15603-7.

Modern Language Association 9th edition

Ge, H., J. Zhang, C. Ma, K. Hui, Y. Li, und Z. Wu. „‌Rockburst Intensity Grading Prediction Based on the LOF-ENN-KNN model‌“. Scientific Reports, Bd. 15, Nr. 1, Dezember 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 - Harvard

Ge, H., Zhang, J., Ma, C., Hui, K., Li, Y. und Wu, Z. (2025), „‌Rockburst intensity grading prediction based on the LOF-ENN-KNN model‌“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-15603-7.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.