ISO-690 (author-date, English)

DINH, Quang Dung, KUNK, Daniel, SON HY, Truong, NALAM, Vamsi und DAO, Phuong D, 2025. Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions. PLo S ONE. 3 April 2025. Vol. 20, no. 4, p. 1-25. DOI 10.1371/journal.pone.0319484.

Elsevier - Harvard (with titles)

Dinh, Q.D., Kunk, D., Son Hy, T., Nalam, V., Dao, P.D., 2025. Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions. PLo S ONE 20, 1-25. https://doi.org/10.1371/journal.pone.0319484

American Psychological Association 7th edition

Dinh, Q. D., Kunk, D., Son Hy, T., Nalam, V., & Dao, P. D. (2025). Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions. PLo S ONE, 20(4), 1-25. https://doi.org/10.1371/journal.pone.0319484

Springer - Basic (author-date)

Dinh QD, Kunk D, Son Hy T, Nalam V, Dao PD (2025) Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions.. PLo S ONE 20:1-25. https://doi.org/10.1371/journal.pone.0319484

Juristische Zitierweise (Stüber) (Deutsch)

Dinh, Quang Dung/ Kunk, Daniel/ Son Hy, Truong/ Nalam, Vamsi/ Dao, Phuong D, Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions., PLo S ONE 2025, 1-25.

Bitte prüfen Sie die Zitate auf Korrektheit, bevor Sie diese in Ihre Arbeit einfügen.