Wadhah Ayadi

635 total citations · 1 hit paper
10 papers, 406 citations indexed

About

Wadhah Ayadi is a scholar working on Computer Vision and Pattern Recognition, Neurology and Urban Studies. According to data from OpenAlex, Wadhah Ayadi has authored 10 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Neurology and 3 papers in Urban Studies. Recurrent topics in Wadhah Ayadi's work include Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Computing and Algorithms (3 papers). Wadhah Ayadi is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Computing and Algorithms (3 papers). Wadhah Ayadi collaborates with scholars based in Tunisia and Saudi Arabia. Wadhah Ayadi's co-authors include Mohamed Atri, Wajdi Elhamzi, Imen Charfi, Abdennaceur Kachouri and Sahbi Chaibi and has published in prestigious journals such as Neural Computing and Applications, Biomedical Signal Processing and Control and The Visual Computer.

In The Last Decade

Wadhah Ayadi

10 papers receiving 379 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep CNN for Brain Tumor Classification

2021 247 citations Wadhah Ayadi, Wajdi Elhamzi et al. Neural Processing Letters profile →

Peers

Countries citing papers authored by Wadhah Ayadi

Since Specialization

Citations

This map shows the geographic impact of Wadhah Ayadi'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 Wadhah Ayadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wadhah Ayadi more than expected).

Fields of papers citing papers by Wadhah Ayadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wadhah Ayadi. 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 Wadhah Ayadi. The network helps show where Wadhah Ayadi may publish in the future.

Co-authorship network of co-authors of Wadhah Ayadi

This figure shows the co-authorship network connecting the top 25 collaborators of Wadhah Ayadi. A scholar is included among the top collaborators of Wadhah Ayadi 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 Wadhah Ayadi. Wadhah Ayadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	A deep conventional neural network model for glioma tumor segmentation 2023 ·International Journal of Imaging Systems and Technology ·Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri	4
2	Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features 2023 ·Biomedizinische Technik/Biomedical Engineering ·Sahbi Chaibi, (unknown), Wadhah Ayadi, Abdennaceur Kachouri	6
3	A novel automatic approach for glioma segmentation 2022 ·Neural Computing and Applications ·Wajdi Elhamzi, Wadhah Ayadi, Mohamed Atri	4
4	Glioma segmentation based on deep CNN 2022 ·Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri	1
5	Deep CNN for Brain Tumor Classification breakdown → 2021 ·Neural Processing Letters ·Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, Mohamed Atri	247
6	Brain tumor classification based on hybrid approach 2020 ·The Visual Computer ·Wadhah Ayadi, Imen Charfi, Wajdi Elhamzi, Mohamed Atri	74
7	A new deep CNN for brain tumor classification 2020 ·Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri	6
8	A hybrid feature extraction approach for brain MRI classification based on Bag-of-words 2018 ·Biomedical Signal Processing and Control ·Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, Mohamed Atri	56
9	Brain MRI classification using discrete wavelet transform and bag-of-words 2018 ·Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, (unknown), Mohamed Atri	5
10	A FPGA-based implementation of JPEG encoder 2016 ·Wadhah Ayadi, Wajdi Elhamzi, Mohamed Atri	3

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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