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 ） 。
-  Yen-Jung Chang, Tsung-Hsien Lee, and Ting-Chi Wang, “GLADE: A Modern Global Router Considering Layer Directives,” in Proceedings of International Conference on Computer-Aided Design, San Jose, CA, pp. 319-323, 2010.
-  Tomohiro Okuyama, Fumihiko Ino, and Kenichi Hagihara, “A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-compatible GPU”, in Proceedings of 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 284-291, 2008
-  Quoc-Nam Tran, “Designing Efficient Many-core Parallel Algorithms for All-Pairs Shortest-Paths using CUDA,” 2010 Seventh International Conference on Information Technology, 2010.
-  Shucai Xiao, and Wu-chun Feng, “Inter-Block GPU Communication via Fast Barrier Synchronization,” in Proceedings of 2010 IEEE International Symposium on Parallel and Distributed Processing, pp. 1, 2010
-  Zhuo Feng, and Zhiyu Zeng, “Parallel Multigrid Preconditioning on Graphics Processing Units (GPUs) for Robust Power Grid Analysis,” in Proceedings of the 47th Design Automation Conference, DAC ’10, pp. 661–666, New York, NY, USA. ACM.
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