American Psychological Association 6th edition

Jia, S., Wang, S., Song, J., Li, S., Li, A., Cao, Q., & Li, Z. S. (2025). Energy modelling and multi-objective tool path optimisation: an energy-efficient manufacturing approach for drill-reaming hybrid machining. International Journal of Production Research, 63(24), 10309-10335. https://doi.org/10.1080/00207543.2025.2550455

ISO-690 (author-date, English)

JIA, Shun, WANG, Shang, SONG, Jinyun, LI, Shuyu, LI, Anbang, CAO, Quanyao and LI, Zhaojun Steven, 2025. Energy modelling and multi-objective tool path optimisation: an energy-efficient manufacturing approach for drill-reaming hybrid machining. International Journal of Production Research. 15 December 2025. Vol. 63, no. 24, p. 10309-10335. DOI 10.1080/00207543.2025.2550455.

Modern Language Association 9th edition

Jia, S., S. Wang, J. Song, S. Li, A. Li, Q. Cao, and Z. S. Li. “Energy Modelling and Multi-Objective Tool Path Optimisation: An Energy-Efficient Manufacturing Approach for Drill-Reaming Hybrid Machining.”. International Journal of Production Research, vol. 63, no. 24, Dec. 2025, pp. 10309-35, https://doi.org/10.1080/00207543.2025.2550455.

Mohr Siebeck - Recht (Deutsch - Österreich)

Jia, Shun/Wang, Shang/Song, Jinyun/Li, Shuyu/Li, Anbang/Cao, Quanyao et al.: Energy modelling and multi-objective tool path optimisation: an energy-efficient manufacturing approach for drill-reaming hybrid machining., International Journal of Production Research 2025, 10309-10335.

Emerald - Harvard

Jia, S., Wang, S., Song, J., Li, S., Li, A., Cao, Q. and Li, Z.S. (2025), “Energy modelling and multi-objective tool path optimisation: an energy-efficient manufacturing approach for drill-reaming hybrid machining.”, International Journal of Production Research, Vol. 63 No. 24, pp. 10309-10335.

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