American Psychological Association 6th edition

Wu, S., & Zhang, R. (2017). Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications, 1-11. https://doi.org/10.1007/s10586-017-0947-8

ISO-690 (author-date, English)

WU, Shijian and ZHANG, Ruixiong, 2017. Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm. Cluster Computing: The Journal of Networks, Software Tools and Applications. 31 May 2017. P. 1-11. DOI 10.1007/s10586-017-0947-8.

Modern Language Association 9th edition

Wu, S., and R. Zhang. “Optimal Path for Sustainable Development under the Dual Constraints Based on Endogenous Growth Algorithm”. Cluster Computing: The Journal of Networks, Software Tools and Applications, May 2017, pp. 1-11, https://doi.org/10.1007/s10586-017-0947-8.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wu, Shijian/Zhang, Ruixiong: Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm, Cluster Computing: The Journal of Networks, Software Tools and Applications 2017, 1-11.

Emerald - Harvard

Wu, S. and Zhang, R. (2017), “Optimal path for sustainable development under the dual constraints based on endogenous growth algorithm”, Cluster Computing: The Journal of Networks, Software Tools and Applications, pp. 1-11.

Warning: These citations may not always be 100% accurate.