A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

554 indexed citations
published 2018

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Fields of papers citing A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges.

About A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges

This paper, published in 2018, received 554 indexed citations . Written by Junfeng Xie, Fei Richard Yu, Tao Huang, Renchao Xie, Jiang Liu, Chenmeng Wang and Yunjie Liu covering the research area of Artificial Intelligence and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (468 citations), Artificial Intelligence (177 citations), Electrical and Electronic Engineering (135 citations), Signal Processing (65 citations) and Information Systems (58 citations). Published in IEEE Communications Surveys & Tutorials.

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This paper is also available at doi.org/10.1109/comst.2018.2866942.

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