Amira Echtioui

516 total citations
37 papers, 311 citations indexed

About

Amira Echtioui is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amira Echtioui has authored 37 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 13 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amira Echtioui's work include EEG and Brain-Computer Interfaces (16 papers), Advanced Memory and Neural Computing (7 papers) and Blind Source Separation Techniques (7 papers). Amira Echtioui is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Advanced Memory and Neural Computing (7 papers) and Blind Source Separation Techniques (7 papers). Amira Echtioui collaborates with scholars based in Tunisia, Saudi Arabia and Canada. Amira Echtioui's co-authors include Mohamed Ghorbel, Habib Hamam, Wassim Zouch, Ahmed Ben Hamida, Chokri Mhiri, Yassine Ben Ayed, Inès Kammoun and Mohamed Ben Slima and has published in prestigious journals such as Applied Sciences, Annals of Biomedical Engineering and Multimedia Tools and Applications.

In The Last Decade

Amira Echtioui

32 papers receiving 297 citations

Peers

Countries citing papers authored by Amira Echtioui

Since Specialization

Citations

This map shows the geographic impact of Amira Echtioui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amira Echtioui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amira Echtioui more than expected).

Fields of papers citing papers by Amira Echtioui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amira Echtioui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amira Echtioui. The network helps show where Amira Echtioui may publish in the future.

Co-authorship network of co-authors of Amira Echtioui

This figure shows the co-authorship network connecting the top 25 collaborators of Amira Echtioui. A scholar is included among the top collaborators of Amira Echtioui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amira Echtioui. Amira Echtioui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Interpretable transfer learning framework for diabetic retinopathy stage classification 2025 ·Network Modeling Analysis in Health Informatics and Bioinformatics ·(unknown), Amira Echtioui	0
2	Exploring Pre-Trained Models for Skin Cancer Classification 2025 ·Applied System Innovation ·(unknown), Amira Echtioui, (unknown)	3
3	Explainable AI Framework for Alzheimer’s Diagnosis Using Convolutional Neural Networks 2024 ·(unknown), Amira Echtioui, (unknown), Ahmed Ben Hamida	6
4	Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models 2024 ·SN Computer Science ·(unknown), (unknown), Amira Echtioui, Mohamed Ghorbel, (unknown), Inès Kammoun	0
5	Automated diabetic retinopathy screening using deep learning 2024 ·Multimedia Tools and Applications ·(unknown), Amira Echtioui, Habib Hamam	18
6	Skin Cancer Detection Based on Transfer Learning Techniques 2024 ·(unknown), Amira Echtioui, (unknown)	1
7	Transfer Learning Models for MRI-Based Brain Tumor Detection 2024 ·(unknown), Amira Echtioui, (unknown), Ahmed Ben Hamida	0
8	Comparative analysis of deep learning algorithms for seizure detection 2024 ·Multimedia Tools and Applications ·(unknown), Amira Echtioui, (unknown)	0
9	Convolutional neural network with support vector machine for motor imagery EEG signal classification 2023 ·Multimedia Tools and Applications ·Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri	5
10	Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network 2023 ·Clinical EEG and Neuroscience ·Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam	10
11	Retinal fundus image classification for diabetic retinopathy using transfer learning technique 2023 ·Signal Image and Video Processing ·(unknown), Amira Echtioui	9
12	Lung Disease Detection in Chest X-ray Images Using Transfer Learning 2022 ·(unknown), Amira Echtioui, (unknown), Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida	5
13	New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection 2022 ·Journal of Digital Imaging ·(unknown), Amira Echtioui, (unknown), (unknown), (unknown), Chokri Mhiri, (unknown)	1
14	COVID-19 detection in CT and CXR images using deep learning models 2022 ·Biogerontology ·(unknown), Amira Echtioui, (unknown), Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida	44
15	Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques 2022 ·(unknown), Amira Echtioui, (unknown), (unknown), Ahmed Ben Hamida	8
16	Modified U-Net Architeture based Ischemic Stroke Lesions Segmentation 2022 ·(unknown), Amira Echtioui, (unknown), Ahmed Ben Hamida	2
17	Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study 2022 ·(unknown), Amira Echtioui, Ahmed Ben Hamida	4
18	A Novel Convolutional Neural Network Classification Approach of Motor-Imagery EEG Recording Based on Deep Learning 2021 ·Applied Sciences ·Amira Echtioui, (unknown), Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam	14
19	Detection Methods of COVID-19 2020 ·SLAS TECHNOLOGY ·Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam	21
20	Artificial and Convolutional Neural Network of EEG-Based Motor imagery classification: A Comparative Study 2020 ·(unknown), Amira Echtioui, (unknown), Mohamed Ghorbel	5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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