本刊特点：AMI入库（2022-2026版）,CSCD核心期刊（2023-2024）,高质量科技期刊（T2）,高质量科技期刊（T3）,EI 中国期刊(2024版),目次收录（维普）,外文期刊,
期刊基本信息
出版周期：季刊 级别：核心期刊
主管部门：教育部
主办单位：清华大学
编辑部：《大数据挖掘与分析（英文）》编辑部
中国国内刊号：CN10-1514/G2
国际标准刊号：ISSN 2096-0654
价格：200元
知网复合影响因子：2.286
知网综合影响因子：1.469
杂志社联系方式
地址：北京市海淀区双清路学研大厦B座608C
邮编：100084
电话：010-83470494
微信公众号：大数据挖掘与分析期刊（bigdatajournal）
官网邮箱：journal-bdma@tup.tsinghua.edu.cn
官方网站：https://www.sciopen.com/journal/2096-0654
杂志征稿投稿要求
《大数据挖掘与分析（英文）》期刊简介
（Big Data Mining and Analytics）
【微信公众号“大数据挖掘与分析期刊”信息】
《大数据挖掘与分析(英文)》是由教育部主管，清华大学主办，清华大学出版社出版的国际化英文学术期刊。清华大学教授、中国工程院院士郑纬民和中国科学院深圳理工大学讲席教授、美国医学与生物工程院院士、英国皇家公共卫生学院院士、乌克兰国家工程院院士潘毅共同担任主编。期刊发表大数据挖掘与分析方面高水平的原创性研究和综述类文章。期刊与IEEE Xplore和SciOpen合作，以开放获取（OA）模式发行。
自创办以来，《大数据挖掘与分析(英文)》获得“中国科技期刊国际影响力提升计划”“清华大学世界一流科技期刊集群发展计划”等项目资助。期刊得到了国内外学术界的关注与认可，陆续被ESCI，EI，Scopus，dblp computer science bibliography，Google Scholar，INSPEC，CSCD、DOAJ等检索收录。根据Elsevier最新发布的全球出版物影响力榜单，期刊2021 CiteScore（引用分）为12.8，位居全球计算机领域前4%。2021年，期刊入选“中国最具影响力国际学术期刊”。
《大数据挖掘与分析(英文)》得到国际认可离不开期刊主编和编委会团队、客座编辑、审稿专家和作者、读者们的倾力奉献和大力支持，在此致以衷心的感谢！我们将继续以建设世界一流期刊为目标，为国内外大数据研究者打造高端学术交流平台！
期刊主页：
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253
https://www.sciopen.com/journal/2096-0654?issn=2096-0654
投稿链接：
https://mc03.manuscriptcentral.com/bdma
《大数据挖掘与分析（英文）》投稿指南
（Big Data Mining and Analytics）
【杂志社官方网站信息】
Submission Guidelines
Overview
Big Data Mining and Analytics, an academic journal sponsored by Tsinghua University, is published quarterly. This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in big data mining and analytics. Contributions all over the world are welcome. Big Data Mining and Analytics is indexed by IEEE Xplore.
Manuscripts are selected for publication according to the editorial assessment of their suitability and evaluation from independent reviewers. Papers are usually sent to two or more reviewers. Editorial staff will edit accepted papers to improve accuracy and clarity and shorten, if necessary.
It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere.
Manuscript submission
The electronic manuscript should be sent to the editorial board through ScholarOne Manuscripts at http://mc03.manuscriptcentral.com/bdma.
Authorship
Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. All those who have made significant contributions should be listed as co-authors. Where there are others who have participated in certain substantive aspects of the research project, they should be named in an Acknowledgment section. The corresponding author should ensure that all appropriate co-authors (according to the above definition) and no inappropriate co-authors are included in the author list of the manuscript, and that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication. After acceptance, changes of authorship or in the order of the authors listed will not be accepted by Tsinghua University Press.
Title and By-line
The title should be descriptive, not full sentences. Name, affiliation (institution) of the authors, city, zip code, country, and E-mail address of the author(s) should be listed.
Abstract and Key words
The abstract of about 100−150 words must accompany each article on page one. It should be a concise summary of the aims, methods, results, and conclusions and/or other significant items in the paper. Together with the title, it must be adequate as an index to all the subjects treated in the paper, and will be used as a base for indexing. Abstracts shall not contain numbered mathematical equations nor numbered references. If a citation is made, reword the sentence to exclude citation numbers. Define all nonstandard symbols and abbreviations. Do not use footnote indicators. Summarize the experimental or theoretical results, the conclusions, and/or other significant items in the paper. If space permits, include any important new quantitative data. Summarized results should be exact, direct, and specific. The key words should include 3−8 pieces of words or phrases to serve as guidelines for indexing.
Text
The text should contain an Introduction that puts the paper into perspective for readers, and should also contain Methods, Results, Discussion, and Conclusions. The SI system should be used for units of measure throughout the text.
All digital arts, including micrographs, line arts, and grayscale images, included in the manuscript should be supplied in a separate electronic file in TIFF, EPS, or JPEG format with a preferred resolution of 600 dpi relative to the final figure size. All figures should be numbered using Arab numerals and supplied with a figure caption. Please make sure that all elements found in the figure are identified in the caption. Figures should always be cited in text, such as Fig. 1, Fig. 2, in consecutive numerical order.
All tables should be numbered using Arab numerals and supplied with a table title which explains clearly and concisely the components of the table. Tables should not duplicate results presented elsewhere in the manuscript (for example, in figures). Tables should always be cited in the text, such as Table 1, Table 2, in consecutive numerical order.
Mathematical material &Acknowledgment
Mathematical material The text should make clear distinctions between physical variables, mathematical symbols, units of measurement, abbreviations, etc. Authors should use italic and boldface to identify physical or mathematical variables. Variables are to be set in normal italic, and vectors, tensors, and matrixes in boldface.
Acknowledgment The placement of the Acknowledgment appears after the final text of the paper, just before the References and after any Appendix(es). All financial support for the work should be listed here. Individuals, affiliation, or other to be concerned who were of direct help in the work should be acknowledged by a brief statement.
Article Processing charge (APC)
Big Data Mining and Analytics is a subsidized open access journal where TUP pays for the publishing costs incurred by the journal. Authors do not have to pay any Article Processing Charge or Open Access Publication.
Others
References Only essential references (formally published journals, articles, monographs, dissertations, reports, proceedings, standards, patents, and/or electronic publications) cited in the text can be listed and must be numbered consecutively by Arabic numerals, which should be listed in the same order as cited in the text. There should be at least ten references.
Open Access The articles published in this journal are distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Ownership The articles published in Big Data Mining and Analytics cannot be published anywhere in any form without the written permission from Big Data Mining and Analytics, Tsinghua University.
Manuscript template