Computer Science Review

Computer Science Review is a peer-reviewed journal published by Elsevier that presents research surveys and expository overviews of open problems across computer science, with a 2025 Journal Impact Factor of 17.5《计算机科学评论》是由(Elsevier)出版的同行评审期刊,刊载计算机科学各领域开放问题的研究综述与阐释性概述,2025 年影响因子为 17.5。

Scope

History

Editors

References

  1. ^Dong S, Wang P, Abbas K. A survey on deep learning and its applications. Computer Science Review, 2021, 40:100379. doi:10.1016/j.cosrev.2021.100379
  2. ^Schaeffer S E. Graph clustering. Computer Science Review, 2007, 1(1):27-64. doi:10.1016/j.cosrev.2007.05.001
  3. ^Lukosevicius M, Jaeger H. Reservoir computing approaches to recurrent neural network training. Computer Science Review, 2009, 3(3):127-149. doi:10.1016/j.cosrev.2009.03.005