Advances in Multimedia

Aims & Scope

Advances in Multimedia publishes papers on the technologies associated with multimedia systems.

Considering both experimental and theoretical studies, the journal publishes across the breadth computer-media integration for digital information processing, storage, transmission, and representation.

As well as original research, Advances in Multimedia also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, 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 Computer Science, 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 950.00 USD. 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.

• A Survey of Visual Sensor Networks

  Citation: 315

  Authors: Stanislava, Wendi

• Can Deep Learning Identify Tomato Leaf Disease?

  Citation: 168

  Authors: Keke, Qiufeng, Anwang, Xiangyan

• MOS-Based Multiuser Multiapplication Cross-Layer Optimization for Mobile Multimedia Communication

  Citation: 69

  Authors: Shoaib, Svetoslav, Eckehard, Wolfgang

• Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks

  Citation: 56

  Authors: P. V. V., K. V. V., E., A. S. C. S., M., D., M. V. D.

• The Impact of Digital Transformation on Environmental Sustainability

  Citation: 48

  Authors: Thanh Cong

• Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems

  Citation: 47

  Authors: Sol Ji, Sang Yeon, Keon Myung

• Color Image Quality Assessment Based on CIEDE2000

  Citation: 45

  Authors: Yang, Jun, Nenghai

• Deep Learning Model of Image Classification Using Machine Learning

  Citation: 43

  Authors: Qing, Suzhen, Yuechun

• Chaotic Lightweight Cryptosystem for Image Encryption

  Citation: 39

  Authors: Jannatul, Mahbuba, Mohammad Shorif

• A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks

  Citation: 38

  Authors: Yongwei, Pin, Shunchao, Yonghua, Nan