Luo, L., Li, B., & Qi, C. (2024). Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk prediction. Risk Analysis: An International Journal, 44(6), 1514-1534. https://doi.org/10.1111/risa.14241
ISO-690 (author-date, English)LUO, Lanjun, LI, Boxiao und QI, Chao, 2024. Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk prediction. Risk Analysis: An International Journal. 1 Juni 2024. Vol. 44, no. 6, p. 1514-1534. DOI 10.1111/risa.14241.
Modern Language Association 9th editionLuo, L., B. Li, und C. Qi. „Spatiotemporal multi‐graph Convolutional network‐based provincial‐day‐level Terrorism Risk Prediction.“. Risk Analysis: An International Journal, Bd. 44, Nr. 6, Juni 2024, S. 1514-3, https://doi.org/10.1111/risa.14241.
Mohr Siebeck - Recht (Deutsch - Österreich)Luo, Lanjun/Li, Boxiao/Qi, Chao: Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk prediction., Risk Analysis: An International Journal 2024, 1514-1534.
Emerald - HarvardLuo, L., Li, B. und Qi, C. (2024), „Spatiotemporal multi‐graph convolutional network‐based provincial‐day‐level terrorism risk prediction.“, Risk Analysis: An International Journal, Vol. 44 No. 6, S. 1514-1534.