Applications of Artificial Intelligence - Impact Factor

Engineering Applications of Artificial Intelligence - Elsevier | 2024 Impact Factor:8.0 | Cite Score:9.5 | Q1

Engineering Applications of Artificial Intelligence Journal

Impact Factor and Journal Rank of Engineering Applications of Artificial Intelligence

About: Engineering Applications of Artificial Intelligence (EAAI) is a highly regarded, peer-reviewed journal that focuses on the practical application of artificial intelligence (AI) techniques and methodologies in various engineering disciplines. The journal aims to bridge the gap between AI research and engineering practice by publishing high-quality research articles that demonstrate the implementation of AI solutions to solve real-world engineering problems.
Content Types: Research Articles: In-depth original research papers presenting novel AI methodologies, algorithms, and their applications in engineering. Case Studies: Practical case studies that demonstrate the successful application of AI solutions in real-world engineering projects, providing insights and best practices. Review Articles: Comprehensive reviews that summarize current trends, challenges, and future directions in the application of AI in engineering.
High Standards and Impact: Peer-Reviewed: The journal employs a rigorous peer-review process to ensure the quality, accuracy, and relevance of published research. Citation Impact: Articles published in EAAI are widely cited, reflecting the journal significant influence and impact in the field of AI applications in engineering. Reputation: Recognized as a leading publication, the journal is known for publishing high-quality, impactful research that advances the field of AI in engineering.
Global Reach: International Contributions: The journal attracts contributions from researchers and practitioners worldwide, offering diverse and global perspectives on AI applications in engineering. Broad Accessibility: Research articles are accessible through academic libraries, online databases, and digital platforms, ensuring wide dissemination and impact.
Significance: Engineering Applications of Artificial Intelligence is a prestigious and influential journal that significantly contributes to the advancement of knowledge, innovation, and practice in the field of AI applications in engineering. Its broad scope, high standards, and global reach make it an essential resource for researchers, practitioners, and policymakers dedicated to leveraging AI to solve complex engineering challenges.

Journal Home: Journal Homepage

Editor-in-Chief: Prof. Patrick Siarry

Scope: The journal publishes high-quality research articles, reviews, and case studies that demonstrate the use of AI to solve engineering problems.
The scope of the journal includes, but is not limited to, the following areas:
AI in Control Systems: Application of AI techniques in the design, implementation, and optimization of control systems for various industrial and engineering processes.
Robotics and Automation: Research on the use of AI in robotics and automation, including robot perception, motion planning, and autonomous systems.
Machine Learning and Data Mining: Studies on machine learning algorithms and data mining techniques applied to engineering problems, including predictive maintenance, quality control, and process optimization.
Intelligent Manufacturing Systems: Exploration of AI applications in smart manufacturing, such as adaptive manufacturing systems, intelligent production planning, and real-time monitoring.
Computer Vision and Image Processing: Implementation of AI-based computer vision and image processing techniques in engineering applications, including defect detection, object recognition, and visual inspection.
Optimization and Decision Support: Use of AI for optimization and decision support in engineering, covering areas like resource allocation, scheduling, and supply chain management.
Natural Language Processing (NLP): Application of NLP techniques in engineering contexts, such as technical document analysis, knowledge extraction, and human-computer interaction.
AI in Energy Systems: Research on AI applications in energy systems, including smart grids, renewable energy management, and energy optimization.
Intelligent Transportation Systems: Studies on the integration of AI in transportation systems, including traffic management, autonomous vehicles, and logistics.
Environmental and Civil Engineering: Use of AI to address challenges in environmental and civil engineering, such as climate modeling, infrastructure management, and environmental monitoring.