stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
- Abu-Mahfouz, I. (2003). Drilling wear detection and classification using vibration signals and artificial neural network. International Journal of Machine Tools and Manufacture, 43(7), 707-720.
- Ahilan, C., Kumanan, S., Sivakumaran, N., & Edwin Raja Dhas, J. (2013). Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools. Applied Soft Computing, 13(3), 1543-1551.
- Arevalo, Y., & Fernandes, A. (2012). Quantification of Drillstring-Integrity-Failure Risk Using Real-Time Vibration Measurements. Spe Drilling & Completion, 27(2), 216-222.
- Arul, S., Vijayaraghavan, L., & Malhotra, S. K. (2007). Online monitoring of acoustic emission for quality control in drilling of polymeric composites. Journal of Materials Processing Technology, 185(1-3), 184-190.
- Benardos, P. G. & G. C. Vosniakos (2002). "Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments." Robotics and Computer Integrated Manufacturing 18, 343-354.
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