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 ） 。
-  E. Wolf, “Three-dimensional structure determination of semi-transparentobjects from holographic data,” Opt. Commun., Vol. 1, pp.153–164, Sep.-Oct. 1969.
-  O. Mudanyalı, S. Yıldız, O. Semerci, A. Yapar and I. Akduman, “A Microwave Tomographic Approach for Nondestructive Testing of Dielectric Coated Metallic Surfaces”, IEEE Geoscience and Remote Sensing Letters, Vol. 5, No. 2, pp. 180 - 184, Apr. 2008.
-  S. Genovesi, E. Salerno, A. Monorchio and G. Manara, “Permittivity range profile reconstruction of multilayered structures from microwave backscattering data by using particle swarm optimization,” Microwave and Optical Technology Letters, Vol. 51, No. 10, pp. 2390 - 2394, Oct. 2009.
-  O. M. Bucci and T. Isernia, “Electromagnetic inverse scattering: Retrievable information and measurement strategies,” Radio Sci., Vol. 32, pp. 2123–2138, Nov.–Dec. 1997.
-  A. Baussard, “Inversion of multi-frequency experimental data using an adaptive multiscale approach,” Inverse Problems, Vol. 21, pp. S15–S31, Dec. 2005.
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