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Data Visualization Techniques: Advances and Applications

Special Issue Information

Dear Colleagues,

The advent of big data has highlighted the usefulness and importance of transforming large datasets into information, which is often essential for decision making in various scientific and technological areas. Data visualization techniques have also evolved, allowing researchers and practitioners to explore and exploit complex information effectively. From interactive graphics to immersive visualizations in augmented and virtual reality, these techniques have created new possibilities for data interpretation.

This Special Issue discusses the recent advances in data visualization techniques and their practical applications in detail. It will show how innovative tools facilitate the understanding of complex data in fields as diverse as cultural heritage analysis, artificial intelligence, medicine, and others. A series of case studies and articles will demonstrate how data visualization techniques improve scientific communication and drive new discoveries in various scientific fields. These works will be essential for understanding the state of data visualization, where the convergence of science and technology has revealed patterns that would otherwise remain hidden.

Dr. Javier Sevilla
Prof. Dr. Kwan-Hee Yoo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • visualization literacy
  • data visualization
  • computer graphics
  • visual analytics
  • virtual reality
  • immersive visualization

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Appl. Sci. - ISSN 2076-3417Creative Common CC BY license