ADVANCED ENGINEERING INFORMATICS

Scope & Guideline

Exploring the Intersection of Technology and Engineering

Introduction

Delve into the academic richness of ADVANCED ENGINEERING INFORMATICS with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1474-0346
PublisherELSEVIER SCI LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2002 to 2024
AbbreviationADV ENG INFORM / Adv. Eng. Inform.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

The journal "Advanced Engineering Informatics" focuses on the intersection of engineering and informatics, emphasizing the application of advanced computational techniques in engineering disciplines. It aims to foster research that integrates data analysis, artificial intelligence, and informatics to improve engineering processes and systems.
  1. Advanced Computational Methods:
    The journal emphasizes the development and application of advanced computational techniques, including machine learning, deep learning, and data mining, to solve complex engineering problems.
  2. Digital Twin Technologies:
    Research involving digital twin frameworks is a core focus, exploring how digital representations of physical systems can optimize design, monitor performance, and enhance predictive maintenance.
  3. Human-Machine Collaboration:
    The integration of human factors and machine learning in collaborative environments is highlighted, aiming to improve safety, efficiency, and productivity in engineering tasks.
  4. Sustainable Engineering Practices:
    The journal promotes research that addresses sustainability in engineering through innovative design, resource management, and lifecycle analysis.
  5. Smart Manufacturing and Industry 4.0:
    Papers often discuss the implications of Industry 4.0 technologies, including IoT, robotics, and cyber-physical systems, on manufacturing processes and operational efficiency.
  6. Data-Driven Decision Making:
    The application of data analytics for informed decision-making in engineering contexts is a recurring theme, with research focusing on predictive models and optimization techniques.
The journal has seen a surge in specific emerging themes that reflect current technological advancements and societal needs. These topics indicate a shift towards more innovative and interdisciplinary research in engineering informatics.
  1. AI and Machine Learning Innovations:
    A significant increase in papers employing cutting-edge AI methodologies, including generative models and reinforcement learning, showcases the journal's alignment with current technological trends.
  2. Integration of Augmented and Virtual Reality:
    Research integrating AR and VR technologies in engineering applications is on the rise, particularly in training and design processes, highlighting the importance of immersive technologies.
  3. Advanced Data Analytics for Predictive Maintenance:
    There is a growing emphasis on leveraging big data analytics and AI for predictive maintenance solutions, reflecting industry demands for efficiency and reliability.
  4. Cyber-Physical Systems and IoT:
    The emergence of research focusing on cyber-physical systems and the Internet of Things (IoT) indicates a trend towards interconnected systems and smart environments in engineering.
  5. Sustainable and Circular Economy Practices:
    An increasing number of papers addressing sustainability and circular economy principles in engineering design and manufacturing processes demonstrate a shift towards environmentally conscious engineering.

Declining or Waning

While the journal continues to thrive in many areas, some themes have seen a noticeable decline in focus or frequency in recent publications. These waning scopes may reflect shifts in research interests or advancements in technology that have made certain topics less relevant.
  1. Traditional Manufacturing Processes:
    Research specifically focused on conventional manufacturing techniques has decreased, possibly due to the shift towards more automated and intelligent systems.
  2. Manual Inspection Techniques:
    There has been a decline in papers discussing manual inspection methods as the field increasingly adopts automated and AI-driven inspection technologies.
  3. Basic Machine Learning Applications:
    Papers that cover fundamental machine learning applications without advanced methodologies or innovative approaches are less frequently published, indicating a push towards more sophisticated techniques.
  4. Regulatory Compliance in Isolation:
    Research focusing solely on regulatory compliance without integration into broader technological frameworks appears to be waning, as interdisciplinary approaches become more favored.

Similar Journals

DATA & KNOWLEDGE ENGINEERING

Advancing the Frontiers of Data Management
Publisher: ELSEVIERISSN: 0169-023XFrequency: 6 issues/year

Data & Knowledge Engineering is a prestigious, peer-reviewed journal dedicated to the fields of data management, information systems, and knowledge engineering. Published by Elsevier in the Netherlands, this journal serves as a critical resource for researchers, professionals, and students alike, offering a platform for high-quality, original research and innovative approaches in the realm of data-driven technologies and methodologies. With a considerable impact factor and classified in the Q2 quartile for Information Systems and Management, it ranks 47th out of 148 journals in its category, placing it in the esteemed 68th percentile according to Scopus metrics. Data & Knowledge Engineering covers a wide array of topics including database systems, data mining, and knowledge representation, ensuring that it remains at the forefront of advancing understanding and application in these dynamic fields. Engage with compelling articles and significant findings published since its inception in 1985, as the journal continues to shape the future of data-centric research up to 2024 and beyond.

Engineering Journal-Thailand

Connecting researchers to contemporary engineering challenges.
Publisher: CHULALONGKORN UNIV, FAC ENGINEERINGISSN: 0125-8281Frequency: 6 issues/year

Engineering Journal-Thailand, published by Chulalongkorn University, Faculty of Engineering, is a prominent academic journal dedicated to advancing knowledge and research in the diverse field of engineering. With an ISSN of 0125-8281 and an unwavering commitment to quality, the journal has established a substantial presence in the academic community since its inception in 2009. As of 2023, it is ranked in the Q3 category for Engineering (miscellaneous) and has achieved a Scopus rank of 137 out of 307, placing it in the 55th percentile of general engineering journals. Although it operates without open access, its impact within the engineering domain is significant, providing a vital platform for researchers, professionals, and students to disseminate their findings and engage with contemporary engineering challenges. The journal serves as a vital resource for those seeking to stay at the forefront of engineering innovation and contributes to the global discourse by bridging local insights with international perspectives.

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

Championing Excellence in Safety, Risk, and Reliability Studies.
Publisher: SAGE PUBLICATIONS LTDISSN: 1748-006XFrequency: 6 issues/year

Proceedings of the Institution of Mechanical Engineers Part O – Journal of Risk and Reliability is a highly regarded journal published by SAGE Publications Ltd, specializing in the critical fields of Safety, Risk, Reliability, and Quality. Established in 2006 and extending its coverage until 2024, this journal serves as a vital platform for researchers and professionals to disseminate innovative findings and discuss emerging trends and methodologies related to risk assessment and reliability engineering. With an impact factor that places it in the Q2 quartile of its category and ranked 69th out of 207 in Scopus, it has garnered significant attention within the academic community, ensuring robust visibility and influence. Readers can expect rigorous peer-reviewed articles that contribute to advancing knowledge and practices in the field, fostering a deeper understanding of the complexities and integral practices essential for safety and reliability. As a leading publication within the United Kingdom, it continues to play an instrumental role in shaping contemporary discussions and research in this vital sector.

SOFT COMPUTING

Exploring the Frontiers of Soft Computing
Publisher: SPRINGERISSN: 1432-7643Frequency: 12 issues/year

SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

Intelligent Medicine

Empowering global collaboration in health informatics.
Publisher: ELSEVIERISSN: 2667-1026Frequency:

Intelligent Medicine, published by Elsevier, is a leading open-access journal dedicated to advancing the fields of Artificial Intelligence, Biomedical Engineering, Health Informatics, and related areas within Medicine. Since its inception in 2021, it has quickly established itself among the top tier of academic publications, holding a commendable Q2 ranking in several categories, including a rank of #51 in Health Informatics and #104 in Medicine (Miscellaneous) as of 2023. The journal aims to disseminate innovative research that harnesses AI technologies to improve healthcare outcomes, bridging the gap between cutting-edge technology and medical practice. With its open-access model, Intelligent Medicine ensures broad dissemination of research findings, facilitating collaboration and knowledge sharing among researchers, practitioners, and students globally. Located in Amsterdam, Netherlands, this journal plays a pivotal role in shaping the future of intelligent healthcare solutions, inviting submissions that push the boundaries of conventional medicine through creative and impactful research.

International Journal of Intelligent Engineering Informatics

Pioneering Research at the Intersection of Technology and Intelligence.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1758-8715Frequency: 4 issues/year

International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

BioData Mining

Innovating Bioinformatics for a Better Tomorrow
Publisher: BMCISSN: 1756-0381Frequency: 1 issue/year

BioData Mining is a distinguished open access journal published by BMC, focusing on the dynamic intersection of bioinformatics, computational mathematics, and molecular biology. Since its inception in 2008, this journal has provided a critical platform for researchers and professionals to publish their findings, contributing significantly to the collective knowledge in fields such as biochemistry, computational theory, and genetics. With a robust impact factor and a commendable h-index, BioData Mining continues to be a vital resource for academic and industrial advancements, ranked in the top quartiles in various categories according to the 2023 metrics. The journal's commitment to open access ensures that cutting-edge research is readily available to the global scientific community, thereby enhancing visibility and fostering collaboration among scholars. Whether you are a researcher, student, or practitioner, engaging with BioData Mining will equip you with relevant insights and developments in the fast-evolving realm of bioinformatics.

Data Science and Engineering

Advancing the frontiers of data and technology.
Publisher: SPRINGERNATUREISSN: 2364-1185Frequency: 4 issues/year

Data Science and Engineering is a premier open access journal published by SPRINGERNATURE, dedicated to advancing the fields of data science, artificial intelligence, computational mechanics, and information systems. Since its inception in 2016, this journal has rapidly established itself as a leader in the academic community, boasting an impressive Q1 ranking in multiple computer science categories, including Artificial Intelligence, Software, and Information Systems. With a commitment to disseminating high-quality research, it caters to a diverse audience of researchers, professionals, and students eager to explore the intersection of data and technology. The journal's robust global reach, combined with its respected reputation, empowers authors to share their findings widely, facilitating breakthroughs and innovations across the digital landscape. Join the vibrant community of scholars contributing to this integral field of study, and stay informed with the latest research by accessing the journal freely online.

Journal of Advanced Simulation in Science and Engineering

Enhancing Understanding of Cutting-Edge Simulation Techniques
Publisher: JAPAN SOC SIMULATION TECHNOLOGY-JSSTISSN: 2188-5303Frequency:

Journal of Advanced Simulation in Science and Engineering, published by the Japan Society for Simulation Technology (JSST), stands as a pivotal platform in the dynamic field of simulation technology, focusing on cutting-edge research and applications in science and engineering. With the ISSN and E-ISSN of 2188-5303, this journal aims to disseminate high-quality research that drives innovation and enhances understanding among practitioners, academics, and students alike. As an essential resource for those engaged in simulation methodologies, it explores a wide range of topics, including but not limited to computational modeling, virtual simulations, and their applications across various engineering disciplines. The journal is indexed in prestigious databases, aiming for a strong impact factor that reflects its commitment to scholarly excellence and relevance. Its open access policy further facilitates wider dissemination and accessibility of research findings, thereby fostering greater collaboration and advancement in the field. Researchers and professionals are encouraged to contribute their findings and insights, establishing the Journal of Advanced Simulation in Science and Engineering as a leading authority in advancing simulation technologies for future applications.

Applied System Innovation

Pioneering Advances in Technology and Engineering
Publisher: MDPIISSN: Frequency: 6 issues/year

Applied System Innovation is a leading multidisciplinary journal published by MDPI, dedicated to advancing the fields of applied mathematics, artificial intelligence, control systems, human-computer interaction, and industrial and manufacturing engineering. With an impressive Open Access model established since 2018, it ensures that research findings are readily accessible to a global audience, fostering collaboration and innovation. The journal, boasting a robust impact in academia, has achieved multiple distinguished quartile rankings for 2023, including Q1 in Industrial and Manufacturing Engineering and Q2 in several other key disciplines. It is recognized in various Scopus categories, with notable rankings in applied mathematics and control systems. By encouraging high-quality research and providing a platform for knowledge exchange, Applied System Innovation plays a vital role in shaping the future of technology and engineering solutions. We invite researchers, professionals, and students alike to contribute to this dynamic field through impactful publications that inspire advancements in our understanding of complex systems.