ISA Transactions
Published by International Society of Automation
ISSN : 0019-0578
Abbreviation : ISA Trans.
Aims & Scope
ISA Transactions is a journal of advances and state-of-the-art in the science and engineering of measurement and automation, of value to leading-edge industrial practitioners and applied researchers.
The topics of measurement include: sensors, perception systems, analyzers, signal processing, filtering, data compression, data rectification, fault detection, inferential measurement, soft sensors, hardware interfacing, etc.; and any of the techniques that support them such as artificial intelligence, fuzzy logic, communication systems, and process analysis.
The topics of automation include: statistical and deterministic strategies for discrete event and continuous process control, modelling and simulation, event triggers, scheduling and sequencing, system reliability, quality, maintenance, management, loss prevention, etc.; and any equipment, techniques and best practices that support them such as optimization, learning systems, strategy development, security, and human interfacing and training.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 6.5 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.552 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 119 |
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 Computer Science, Engineering, Mathematics and Physics and Astronomy, 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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Active disturbance rejection control: Methodology and theoretical analysis
Citation: 759
Authors: Yi, Wenchao
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Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Citation: 514
Authors: Zhibin, Tianfu, Jingyao, Chuang, Shibin, Ruqiang, Xuefeng
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Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders
Citation: 505
Authors: Han, Jianzhong, Yang, Wei, Yuncheng
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Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
Citation: 465
Authors: Te, Chao, Wenguang, Dongxiang
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Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Citation: 461
Authors: Tianci, Jinglong, Fudong, Kaiyu, Haixin, Shuilong, Enyong
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Second order sliding mode control for a quadrotor UAV
Citation: 426
Authors: En-Hui, Jing-Jing, Ji-Liang
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Interior search algorithm (ISA): A novel approach for global optimization
Citation: 389
Authors: Amir H.
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Analysis and synthesis of networked control systems: A survey of recent advances and challenges
Citation: 374
Authors: Dan, Peng, Qing-Guo, Li
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OGAS: Omni-directional Glider Assisted Scheme for autonomous deployment of sensor nodes in open area wireless sensor network
Citation: 371
Authors: Vikrant, Satvik, D., Karan, Anton Satria, Mohammed S., Ali