Expert Systems With Applications - Elsevier - Impact Factor

Expert Systems With Applications - Elsevier | 2025 Impact Factor:9.4 | Cite Score:17.0 | Q1

Expert Systems With Applications Journal

Impact Factor and Journal Rank of Expert Systems With Applications

About: Expert Systems with Applications is a highly regarded academic journal that focuses on the development and application of expert systems and artificial intelligence (AI) technologies in solving complex real-world problems. Published by Elsevier, the journal covers a broad range of topics related to expert systems, AI methodologies, and their practical applications across various domains.
Content Types: Original research papers presenting novel methodologies, theoretical advancements, and empirical studies in the field of expert systems and AI. Comprehensive reviews and surveys that summarize the state-of-the-art, identify key trends, and suggest future research directions.
High Standards and Impact: The journal employs a rigorous peer-review process to ensure the publication of high-quality, accurate, and impactful Articles published in Expert Systems with Applications are frequently cited by researchers and professionals, indicating their significant influence and relevance in the field.
Global Reach: The journal attracts contributions from researchers and practitioners worldwide, providing a diverse and global perspective on expert systems and AI. As part of Elsevier extensive journal portfolio, Expert Systems with Applications is accessible to a broad audience through various academic and research databases.
Significance: It is a premier academic journal that significantly contributes to the advancement of expert systems and AI technologies. Its wide-ranging scope, rigorous standards, and international reach make it an essential resource for researchers, practitioners, policymakers, and educators interested in the development and application of expert systems and AI.

Journal Home: Journal Homepage

Editor-in-Chief: Prof. Dr. Binshan Lin

Scope: The scope of the journal is broad and interdisciplinary, covering a wide range of topics related to expert systems and their real-world applications.
Key areas covered by the journal include, but are not limited to:
Artificial Intelligence and Machine Learning: Research on AI techniques, machine learning algorithms, deep learning, neural networks, and their integration into expert systems.
Knowledge Representation and Reasoning: Studies on methods for representing knowledge in expert systems, including rule-based systems, semantic networks, ontologies, and logic-based representations.
Decision Support Systems: Development and application of expert systems for decision-making processes in various fields such as healthcare, finance, and business management.
Fuzzy Logic and Systems: Research on the use of fuzzy logic in expert systems, including fuzzy reasoning, fuzzy control, and applications of fuzzy systems.
Natural Language Processing (NLP): Studies on the application of NLP techniques in expert systems for tasks such as text understanding, information extraction, and language generation.
Robotics and Autonomous Systems: Research on the use of expert systems in robotics, including autonomous decision-making, robotic control, and human-robot interaction.
Computer Vision and Image Processing: Application of expert systems in image analysis, pattern recognition, object detection, and other computer vision tasks.
Knowledge-Based Systems: Development and application of systems that use knowledge bases to solve complex problems, including expert advisory systems, diagnostic systems, and intelligent tutoring systems.
Big Data Analytics: Research on the integration of big data techniques with expert systems, including data mining, predictive analytics, and real-time data processing.
Optimization and Heuristics: Studies on the use of optimization techniques and heuristic methods in the development of expert systems for solving complex problems.