American Psychological Association 6th edition

Furuya, T., Hang, X., Ohbuchi, R., & Yao, J. (2020). Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3 D Point Set Segmentation. IEEE Access ; Volume 8, Page 140250-140260 ; ISSN 2169-3536. https://doi.org/10.1109/access.2020.3012613

ISO-690 (author-date, English)

FURUYA, Takahiko, HANG, Xu, OHBUCHI, Ryutarou und YAO, Jinliang, 2020. Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3 D Point Set Segmentation. IEEE Access ; volume 8, page 140250-140260 ; ISSN 2169-3536. 1 Januar 2020. DOI 10.1109/access.2020.3012613.

Modern Language Association 9th edition

Furuya, T., X. Hang, R. Ohbuchi, und J. Yao. „Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3 D Point Set Segmentation“. IEEE Access ; Volume 8, Page 140250-140260 ; ISSN 2169-3536, Januar 2020, https://doi.org/10.1109/access.2020.3012613.

Mohr Siebeck - Recht (Deutsch - Österreich)

Furuya, Takahiko/Hang, Xu/Ohbuchi, Ryutarou/Yao, Jinliang: Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3 D Point Set Segmentation, IEEE Access ; volume 8, page 140250-140260 ; ISSN 2169-3536 2020,

Emerald - Harvard

Furuya, T., Hang, X., Ohbuchi, R. und Yao, J. (2020), „Convolution on Rotation-Invariant and Multi-Scale Feature Graph for 3 D Point Set Segmentation“, IEEE Access ; Volume 8, Page 140250-140260 ; ISSN 2169-3536, verfügbar unter:https://doi.org/10.1109/access.2020.3012613.

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