Journal of Industrial Information Integration
Published by Elsevier
ISSN : 2452-414X
Abbreviation : J. Ind. Inf. Integr.
Aims & Scope
The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization.
These topics encompass not only hardware and software, but also information integration.
Industrial information integration engineering is an emerging subject.
This journal aims to promote and communicate advances in industrial information integration in order to provide insights into challenges, issues, and solutions related to industrial integration and industrial informatization through an interdisciplinary forum for researchers, practitioners, and policy makers.
Journal of Industrial Information Integration welcomes papers on the foundational, technical, and practical aspects of industrial information integration, while also welcoming the complex and cross-disciplinary topics of industrial information integration that arise in industrial integration.
Techniques developed in mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management used in industrial integration and industrial informatization are integral to this journal.
Occasionally the journal may publish white papers on policies, standards, and best practices regarding industrial information integration, industrial integration, industrial informatization, and industrial informatics.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
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2024 | 998 |
Journal Citation Indicator
Year | Value |
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2024 | 3806 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 2.445 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 62 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Engineering, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Industry 4.0: A survey on technologies, applications and open research issues
Citation: 1507
Authors: Yang
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Industry 5.0: A survey on enabling technologies and potential applications
Citation: 956
Authors: Praveen Kumar Reddy, Quoc-Viet, Prabadevi, N, Kapal, Thippa Reddy, Rukhsana, Madhusanka
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Study on artificial intelligence: The state of the art and future prospects
Citation: 534
Authors: Caiming, Yang
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Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
Citation: 504
Authors: Giuseppe, Valerio, Antonio
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The internet of things in healthcare: An overview
Citation: 383
Authors: Yuehong, Yan, Xing, Yuanjie
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Industrial IoT in 5G environment towards smart manufacturing
Citation: 267
Authors: Jiangfeng, Weihai, Fei, Chun-Liang
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Blockchain characteristics and consensus in modern business processes
Citation: 253
Authors: Wattana, Danupol
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Blockchain technology: Is it hype or real in the construction industry?
Citation: 248
Authors: Srinath, Samudaya, M.N.N., Sepani, Ralf