万维提示：
1、投稿方式：在线投稿。
2、期刊主页：
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10419381
3、投稿系统：
https://mc03.manuscriptcentral.com/chain
（微信公众号信息）
4、出刊日期：季刊，一年出版4期。
2023年11月16日星期四
《Chain》正式创刊！
【微信公众号“链CHAIN”信息】
链CHAIN 2023-11-09 10:38 发表于北京
Chain
ISSN 2097-3470 (print)
ISSN 2097-3489 (online)
CN 10-1915/TB
Administrated by China Association for Science and Technology
Sponsored by The Nonferrous Metals Society of China and Beihang University
Published by Youke Publishing Co., Ltd.
Distributed internationally via IEEE Xplore
Publishing model: Open Access
Technically supported by the IEEE Power and Energy Society (PES) and the IEEE Society on Social Implications of Technology (SSIT)
Submission and review system
https://mc03.manuscriptcentral.com/chain
Aims and scope
Chain, a scholarly peer-reviewed journal, aims to publish great advances made in the transportation related cutting-edge interdisciplines of information technology (artificial intelligence, intelligent control, computers, etc.), materials science (materials, chemical, metallurgy, etc.) and advanced manufacturing (transportation, aerospace, etc.). Chainis expected to foster the fusion of data and model for internet-of-things so as to pave a cross-disciplinary way in foundations, methodologies and applications.
The journal considers full length article, short communications, perspective, review articles and paper previews, and publishes 4 volumes per year.
Focal areas and topics of interest of the journal include, but are not limited to:
• Advanced design of energy materials, devices and systems
• Reliability, durability and safety of intelligent energy management and control systems
• Internet-of-things and cyber-physical energy system and internet
• Advanced material design, signal processing techniques, data fusion techniques, intelligent algorithms, and artificial intelligence for intelligent sensors
• Hybrid model, data science, artificial intelligence, internet of things, digital twin, computational intelligence, evolutionary computation, machine and deep learning
• Stereo-traffic network including new energy vehicles, aeronautics and astronautics
• New technologies, processes, methods, materials, systems, and applications in the field of additive manufacturing
Guides for authors投稿指南
【官网信息】
About this journal
CHAIN, a scholarly peer-reviewed journal, aims to publish great advances made in the transportation related cutting-edge interdisciplines of information technology (artificial intelligence, intelligent control, computers, etc.), materials science (materials, chemical, metallurgy, etc.) and advanced manufacturing (transportation, aerospace, etc.). CHAIN is expected to foster the fusion of data and model for internet-of-things so as to pave a cross-disciplinary way in foundations, methodologies and applications.
The journal considers full length article, short communications, perspective, review articles and paper previews, and publishes 4 volumes per year.
Focal areas and topics of interest of the journal include, but are not limited to:
• Advanced design of energy materials, devices and systems
• Reliability, durability and safety of intelligent energy management and control systems
• Internet-of-things and cyber-physical energy system and internet
• Advanced material design, signal processing techniques, data fusion techniques, intelligent algorithms, and artificial intelligence for intelligent sensors
• Hybrid model, data science, artificial intelligence, internet of things, digital twin, computational intelligence, evolutionary computation, machine and deep learning
• Stereo-traffic network including new energy vehicles, aeronautics and astronautics
• New technologies, processes, methods, materials, systems, and applications in the field of additive manufacturing
Manuscript submission
Submission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities-tacitly or explicitly -at the institute where the work has been carried out.
The publisher will not be held legally responsible should there be any claims for compensation.
Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) [the publisher(s) of the journal, not the authors of the paper] for both the print and online format and to include evidence that such permission has been granted when submitting their papers (Reprinted with permission from Ref. [xx]. Copyright XXXX, Publisher).
Any material received without such evidence will be assumed to originate from the authors. It is the authors’ responsibility to retain an electronic or hardcopy of the permission.
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更多详情：
https://s3-us-west-2.amazonaws.com/clarivate-scholarone-prod-us-west-2-s1m-public/wwwRoot/prod3/societyimages/chain/Guides%20for%20authors-Chain%202023.pdf
