Skip to content
Contact
Algeria - National academic platform
...

Home › Researcher directory › Aicha Majda

Aicha Majda

Affiliation : Université Moulay Ismail de Meknes

  • 30Publications (affiliation in Morocco)
  • 45Total publications
  • 596Citations
  • 9h-index

Research profile

Aicha Majda has 30 indexed publications (2011–2026). Their work appears mainly in “Lecture notes in networks and systems”, “International Conference on Intelligent Systems and Computer Vision (ISCV)” and “Journal of King Saud University - Computer and Information Sciences”. Their most cited article, “Lung CT Image Segmentation Using Deep Neural Networks” (2018), has been cited 346 times. 8 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in Ireland.

Is this you? Get your research seen

Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.

Create my free profile Add my publications

Research areas

  • Face recognition and analysis
  • Autism Spectrum Disorder Research
  • Face and Expression Recognition
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques

Publications (30)

Publication venues

  • Lecture notes in networks and systems × 3
  • International Conference on Intelligent Systems and Computer Vision (ISCV) × 2
  • Journal of King Saud University - Computer and Information Sciences × 2
  • International Journal of Bioinformatics Research and Applications × 2
  • International Journal of Intelligent Systems Technologies and Applications × 2
  • IEEE Congress on Information Science and Technology (CiSt) × 2

Publications per year

  • 20266
  • 20242
  • 20221
  • 20212
  • 20203
  • 20196
  • 20184
  • 20172
  • 20161
  • 20121

Collaborations

Partner institutions : Sidi Mohamed Ben Abdellah University · University of Limerick

Co-authors’ countries : Ireland

Co-authors

Bibliographic data from OpenAlex (open database).

Your research deserves to be discovered.

Give my research greater visibility →