学术动态

　　通信领域的顶级期刊介绍？顶级期刊指的是在特定学科领域内具有高度声誉和广泛影响力的学术期刊。对论文的要求也是比较高的，需要注意的是顶级期刊只是在同领域内做对比，不同领域是没有对比性的。接下来，详细的推荐四本通信领域内顶级的SCI期刊，仅供参考。

　　1、PROCEEDINGS OF THE IEEE

　　学科领域：

　　大类：

　　小类：工程：电子与电气

　　中科院分区：1区

　　是否TOP：是

　　期刊简介：Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science. Consistently ranked as one of the top journals by Impact Factor, Article Influence Score and more, the journal serves as a trusted resource for engineers around the world.

　　2、KNOWLEDGE-BASED SYSTEMS

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：1区

　　是否TOP：是

　　期刊简介：Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

　　3、ACM COMPUTING SURVEYS

　　学科领域：

　　大类：计算机科学

　　小类：计算机：理论方法

　　中科院分区：1区

　　是否TOP：是

　　期刊简介：These comprehensive, readable surveys and tutorial papers give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties in an accessible way. The carefully planned and presented introductions in Computing Surveys (CSUR) are also an excellent way for researchers and professionals to develop perspectives on, and identify trends in complex technologies. Contributions which bridge existing and emerging technologies (such as machine learning) with a variety of science and engineering domains in a novel and interesting way are also welcomed.

　　4、PATTERN RECOGNITION

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：1区

　　是否TOP：是

　　期刊简介：For over 40 years, Pattern Recognition has provided the primary forum for the exchange of information on pattern recognition research among the many varied engineering, mathematical and applied professions which make up this unique field. Original papers cover all methods, techniques and applications of pattern recognition, artificial intelligence, image processing, 2-D and 3-D matching, expert systems and robotics. The Journal also includes reviews of significant developments in the field.