American Psychological Association 6th edition

Jia, L., Hua, Q.-S., Fan, H., Wang, Q., & Jin, H. (2022). Efficient distributed algorithms for holistic aggregation functions on random regular graphs. Science China Information Sciences, 65(5). https://doi.org/10.1007/s11432-020-2996-2

ISO-690 (author-date, English)

JIA, Lin, HUA, Qiang-Sheng, FAN, Haoqiang, WANG, Qiuping und JIN, Hai, 2022. Efficient distributed algorithms for holistic aggregation functions on random regular graphs. Science China Information Sciences. 1 Mai 2022. Vol. 65, no. 5, . DOI 10.1007/s11432-020-2996-2.

Modern Language Association 9th edition

Jia, L., Q.-S. Hua, H. Fan, Q. Wang, und H. Jin. „Efficient Distributed Algorithms for Holistic Aggregation Functions on Random Regular Graphs“. Science China Information Sciences, Bd. 65, Nr. 5, Mai 2022, https://doi.org/10.1007/s11432-020-2996-2.

Mohr Siebeck - Recht (Deutsch - Österreich)

Jia, Lin/Hua, Qiang-Sheng/Fan, Haoqiang/Wang, Qiuping/Jin, Hai: Efficient distributed algorithms for holistic aggregation functions on random regular graphs, Science China Information Sciences 2022,

Emerald - Harvard

Jia, L., Hua, Q.-S., Fan, H., Wang, Q. und Jin, H. (2022), „Efficient distributed algorithms for holistic aggregation functions on random regular graphs“, Science China Information Sciences, Vol. 65 No. 5, verfügbar unter:https://doi.org/10.1007/s11432-020-2996-2.

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