Frontiers in Big Data (FBD)
Journal Descriptions
Frontiers in Big Data is an interdisciplinary journal that focuses on the advancements and applications of big data. Led by Field Chief Editor, Dr Huan Liu (Arizona State University, USA) the journal focuses on understanding and managing the power of big data, as well as acquiring intelligence from information to address and solve the biggest challenges of humankind. Frontiers in Big Data welcomes research contributions across the multifaceted and vast field, which advance new methodologies and develops data science, AI, data mining, and medical health informatics. Topics include, but are not limited to: big data networks big data and AI in high energy physics cybersecurity and privacy data analytics for social impact data mining and management data science data-driven climate sciences machine learning and artificial intelligence medicine and public health. In particular, the journal welcomes submissions that support and advance the UN’s Sustainable Development Goals (SDGs), notably SDG 9: industry, innovation and infrastructure. Frontiers in Big Data is committed to advancing developments in the field by allowing unrestricted access to articles, and communicating scientific knowledge to researchers and the public alike, to enable the scientific breakthroughs of the future.
Frontiers in Big Data (FBD) is :-
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International, Peer-Reviewed, Open Access, Refereed, Big Data Networks, Big Data AI In High Energy Physics, Cybersecurity, Privacy, Data Analytics For Social Impact, Data Mining, Management, Data Science, Data-Driven Climate Sciences, Machine Learning, Artificial Intelligence, Medicine, Public Health , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2624-909X, Established: 2025, Impact Factor: 2.4
- Does Not Provide Crossref DOI
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Indexed in: Scopus, WoS, DOAJ, PubMed
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Not indexed in UGC CARE
