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Publication

All papers accepted by 2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020) will be published by the Journal of Physics: Conference Series https://iopscience.iop.org/journal/1742-6596, and the proceedings will be submitted by the Journal of Physics: Conference Series for EI Compendex, CPCI-S (ISTP), Scopus, Inspec and CNKI indexing. Journal of Physics: Conference Series is an open-access proceedings journal, and MBDAS2020 papers will be online available in full text via the press platform.

Journal of Physics: Conference Series
Online ISSN: 1742-6596
Print ISSN: 1742-6588
Website: https://iopscience.iop.org/journal/1742-6596
Index by: EI Compendex, CPCI-S(ISTP), Scopus, Inspec, CNKI, etc
Journal of Physics: Conference Series EI 最新检索截图

MBDAS2020收录的文章将由英国皇家物理学会(IOP Publishing)旗下的Journal of Physics: Conference Series期刊出版,提交的检索机构为:EI Compendex、CPCI-S(即ISTP)、CNKI、Scopus、Inspec等。目前,Journal of Physics: Conference Series提交EI数据库检索情况稳定,作者可登陆EI数据库自行查看近期检索情况。

Publication Notice:
All submissions should be original, professional and have not been published elsewhere. Paper length should exceed 4 pages followed and it need be formatted strictly according to the Template.
Submissions must be original, unpublished work, and not have been submitted to another conference or journal for publication. All submission will be peer-reviewed roughly by at least 2-3 experts.
Authors are invited to submit English papers. Please confirm your papers with clear argumentation, close core, sufficient theoretical analysis, proper language and standard grammar in English.
Submission of a paper implies that should the paper be accepted for formal publication, at least one of the authors will register and present the paper in the conference. Plagiarism in any form is not allowed.

Plagiarism Prevention
2020 International Conference on Modeling, Big Data Analytics and Simulation (MBDAS2020) uses the iThenticate software to detect instances of overlapping and similar text in submitted manuscripts. iThenticate software checks content against a database of periodicals, the Internet, and a comprehensive article database.