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 ） 。
-  Antonios Atsalakis and Nikos Papamarkos, “Color Reduction and Estimation of the Number of Dominant Colors by Using a Self-Growing and Self-Organized Neural Gas,” Engineering Applications of Artificial Intelligence, Volume: 19, Issue: 7, October, 2006, Page(s): 769-786.
-  Y.-H. Chan, “A Modified Multiscale Error Diffusion Technique for Digital Halftoning,” IEEE Signal Processing Letters, Volume: 2, No. 11, 1998, Page(s): 277–280.
-  Y.-H. Chan and S.-M. Cheung, “Feature Preserving Multiscale Error Diffusion for Digital Halftoning,” Journal of Electronic Imaging, Volume: 13, No. 3, 2004, Page(s): 639–645.
-  Guojian Cheng, Jinquan Yang, Kuisheng Wang, and Xiaoxiao Wang, “Image Color Reduction Based on Self-Organizing Maps and Growing Self-Organizing Neural Networks,” HIS '06, the Sixth International Conference on Hybrid Intelligent Systems, December, 2006, Page(s):24-24.
-  Shyi-Chyi Cheng and Chen-Kuei Yang, “A Fast and Novel Technique for Color Quantization Using Reduction of Color Space Dimensionality,” Pattern Recognition Letters, Volume: 22, Issue: 8, June, 2001, Page(s): 845-856.
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