Reviews on Data Analytics and Its Applications
A special issue of Analytics (ISSN 2813-2203).
Deadline for manuscript submissions: 31 March 2026 | Viewed by 124
Special Issue Editor
Interests: AI; data mining and analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of data analytics is evolving rapidly, with continuous advancements in methodologies, technologies, and applications. To provide a comprehensive overview of the latest developments in the field, Analytics is launching a Special Issue dedicated to high-quality review papers that consolidate knowledge, analyze trends, and identify future directions in data analytics science, engineering, and projects.
This Special Issue welcomes the submission of systematic reviews, meta-analyses, and state-of-the-art surveys that address topics including, but not limited to, machine learning foundations, big data analytics, information integration, quality metrics, AI-driven analytics, and emerging technologies such as quantum computing and AI hardware. We also encourage the contribution of reviews on engineering frameworks, standards, and methodologies related to data analytics, as well as sector-specific applications in healthcare, finance, cybersecurity, and smart cities.
We welcome contributions that offer critical insights, comparative analyses, and future research perspectives, helping to shape the next generation of data analytics innovations.
Prof. Dr. Carson K. Leung
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Analytics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data analytics science
- data analytics engineering
- data analytics projects
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