Networking is a leading international, peer-reviewed journal that publishes rigorously high quality original articles and authoritative reviews that focus on Networking. All articles are published fully Open Access.

 

The journal welcomes Original Papers, Commentaries, Comprehensive Reviews, Perspectives, Brief Reports, Letter to the Editor on all aspects of networking and its applications. Conference papers may be accepted if they have been substantially extended. Special issues of the journal that focus on a particular aspect of the field are also occasionally published.

 

The scope of the journal encompasses, but is not limited to, the following areas:

 

Neural Networking and Deep Learning

 

Large Language Models and Generative Artificial Intelligence

 

Multimodal Learning, Neural-Symbolic AI, Continual Learning, Trustworthy AI

 

Artificial Intelligence for Computer Networking and Blockchain

 

Artificial Intelligence for Computer Vision and Computer Graphics

 

Artificial Intelligence for Science and Engineering

 

By fostering interdisciplinary dialogue, Networking serves as an essential resource for basic scientists, application engineer, policymakers working at the vibrant intersection of the networking and all industries.