International Journal of Automation Technology
Published by Fuji Technology Press
ISSN : 1881-7629 eISSN : 1883-8022
Abbreviation : Int. J. Autom. Technol.
Aims & Scope
This journal focuses on advanced automation technologies ranging from basic techniques to a variety of applications meeting industrial requirements.
This covers automation technologies on design, manufacturing, assembly, inspection, transportation, logistics, machine tools, robotic system, and control systems and devices.
While some journals focus on automation specific to scientific research, no single journal provides such comprehensive coverage as engineering research and development papers and commercial magazines.
This journal thus provides many practical examples relating advanced automation and reviews, research and development papers, news, and interview, providing readers with much new, interesting, and informative topics directly applicable to their work.
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 14950 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 316 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.357 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 28 |
Impact Factor
Year | Value |
---|---|
2024 | 0.90 |
Impact Factor Trend
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 Engineering, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Policy Links
This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.
- Aims scope
- Homepage
- Oa statement
- Author instructions
- License terms
- Review url
- Board url
- Copyright url
- Plagiarism url
- Preservation url
- Apc url
- License
Plagiarism Policy
This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.
For more details, please refer to our official: Plagiarism Policy.
APC Details
The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering, ensuring accessibility and quality in research dissemination.
This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 150,000.00 JPY. Learn more.
Explore journals without APCs for alternative publishing options.
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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“Industrie 4.0†and Smart Manufacturing – A Review of Research Issues and Application Examples
Citation: 865
Authors: Klaus-Dieter, Stefan, Thorsten
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Indirect Measurement of Volumetric Accuracy for Three-Axis and Five-Axis Machine Tools: A Review
Citation: 220
Authors: Soichi, Wolfgang
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Review of Wire Arc Additive Manufacturing for 3D Metal Printing
Citation: 135
Authors: Johnnieew Zhong, Mohd Rizal, Nor Ana Binti, Rafidah, Mohd Nizam, Faiz Redza
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Effect of Nanoparticle Lubrication in Diamond Turning of Reaction-Bonded SiC
Citation: 66
Authors: Jiwang, Zhiyu, Tsunemoto
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Quantitative Performance Analysis of Exoskeleton Augmenting Devices - Muscle Suit - for Manual Worker
Citation: 64
Authors: Yoshiki, Hiroyuki, Yutaka, He, Takuya, Hiroshi
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Cyber-Physical Product-Service Systems – Challenges for Requirements Engineering
Citation: 55
Authors: Stefan, Eugenia, Klaus-Dieter
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Theoretical Comparison of McKibben-Type Artificial Muscle and Novel Straight-Fiber-Type Artificial Muscle
Citation: 54
Authors: Hiroki, Taro
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Analytical Prediction of Part Dynamics for Machining Stability Analysis
Citation: 48
Authors: Salih, Erhan, H. Nevzat
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In-Process and On-Machine Measurement of Machining Accuracy for Process and Product Quality Management: A Review
Citation: 47
Authors: Yasuhiro