‌The IECE Council has approved a proposal from the IECE Publications Commission to establish a new journal focused on information fusion and related fields. The journal’s scope will also encompass the ethical and responsible use of AI/ML for the sciences that IECE covers. The new journal will begin accepting submissions for peer review starting in the spring of 2024.

Aims & Scope

Chinese Journal of Information Fusion is an academic journal that reflects the cutting-edge research and application achievements of information fusion technology. It publishes academic papers in the field of information fusion. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles. The journal publishes original papers, letters to the Editors and review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:

• Image, Data, Information, and Multi-modal Fusion

• Multi-view Fusion

• Distributed and Wireless Sensor Fusion Networks

• Multi-Sensor, Multi-Source Fusion System Methods

• Multi-Sensor Management and Real-Time Applications

• Adaptive Fusion System Theory

• Active, Passive, And mixed-sensor Suites

• Multi-Sensor And Distributed Sensor System Design

• Uncertainty Fusion Learning

• Artificial Intelligence For Fusion Processing

• Deep learning For Fusion Processing

• Machine learning For Fusion Processing

• Information Fusion Applications in Multi-Spectral/Hyper-Spectral Image Data

• Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena

• Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems

Publication Frequency

Quarterly

Affiliated Society