American Psychological Association 6th edition

Cai G, Chen Y, Yang B, Yang Y, Ma T, & Wang Y. (2025). CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces. Neural Networks : The Official Journal of the International Neural Network Society, 191, 107795-107795. https://doi.org/10.1016/j.neunet.2025.107795

ISO-690 (author-date, English)

CAI G, CHEN Y, YANG B, YANG Y, MA T und WANG Y, 2025. CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces. Neural networks : the official journal of the International Neural Network Society. 1 November 2025. Vol. 191, , p. 107795-107795. DOI 10.1016/j.neunet.2025.107795.

Modern Language Association 9th edition

Cai G, Chen Y, Yang B, Yang Y, Ma T, und Wang Y. „CGNet: A Complex-Valued Graph Network for Jointly Learning Amplitude-Phase Information in EEG-Based Brain-Computer Interfaces.“. Neural Networks : The Official Journal of the International Neural Network Society, Bd. 191, November 2025, S. 107795-, https://doi.org/10.1016/j.neunet.2025.107795.

Mohr Siebeck - Recht (Deutsch - Österreich)

Cai G/Chen Y/Yang B/Yang Y/Ma T/Wang Y: CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces., Neural networks : the official journal of the International Neural Network Society 2025, 107795-107795.

Emerald - Harvard

Cai G, Chen Y, Yang B, Yang Y, Ma T und Wang Y. (2025), „CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces.“, Neural Networks : The Official Journal of the International Neural Network Society, Vol. 191, S. 107795-107795.

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