Zhu, D. (2025). Optimization of University Library Services through Big Data and Multi-source Data Fusion. Annals of Emerging Technologies in Computing (AETi C), 9(4), 1-16. https://doi.org/10.33166/AETi C.2025.04.001
ISO-690 (author-date, English)ZHU, Di Yin, 2025. Optimization of University Library Services through Big Data and Multi-source Data Fusion. Annals of Emerging Technologies in Computing (AETi C). 1 Oktober 2025. Vol. 9, no. 4, p. 1-16. DOI 10.33166/AETi C.2025.04.001.
Modern Language Association 9th editionZhu, D. „Optimization of University Library Services through Big Data and Multi-Source Data Fusion.“. Annals of Emerging Technologies in Computing (AETi C), Bd. 9, Nr. 4, Oktober 2025, S. 1-16, https://doi.org/10.33166/AETi C.2025.04.001.
Mohr Siebeck - Recht (Deutsch - Österreich)Zhu, Di Yin: Optimization of University Library Services through Big Data and Multi-source Data Fusion., Annals of Emerging Technologies in Computing (AETi C) 2025, 1-16.
Emerald - HarvardZhu, D. (2025), „Optimization of University Library Services through Big Data and Multi-source Data Fusion.“, Annals of Emerging Technologies in Computing (AETi C), Vol. 9 No. 4, S. 1-16.