Fayçal Hamdaoui

731 total citations · 1 hit paper
25 papers, 448 citations indexed

About

Fayçal Hamdaoui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Fayçal Hamdaoui has authored 25 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Neurology. Recurrent topics in Fayçal Hamdaoui's work include Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (6 papers). Fayçal Hamdaoui is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (6 papers). Fayçal Hamdaoui collaborates with scholars based in Tunisia. Fayçal Hamdaoui's co-authors include Abdellatif Mtibaa, Khaled Bayoudh, Anis Sakly and Mohamed Hamdaouı and has published in prestigious journals such as Electronics, Applied Intelligence and The Visual Computer.

In The Last Decade

Fayçal Hamdaoui

23 papers receiving 417 citations

Hit Papers

align trajectories

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.

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

2021 238 citations Khaled Bayoudh, Fayçal Hamdaoui et al. The Visual Computer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fayçal Hamdaoui Tunisia	8	228	146	62	57	33	25	448
Donghai Zhai China	11	190 0.8×	87 0.6×	36 0.6×	59 1.0×	33 1.0×	42	537
Khaled Bayoudh Tunisia	5	173 0.8×	135 0.9×	59 1.0×	45 0.8×	20 0.6×	6	408
Miguel A. Molina‐Cabello Spain	12	173 0.8×	136 0.9×	77 1.2×	43 0.8×	20 0.6×	45	370
Muhammad Shehzad Hanif Saudi Arabia	12	341 1.5×	68 0.5×	104 1.7×	99 1.7×	47 1.4×	30	502
Enrique Domínguez Spain	13	257 1.1×	233 1.6×	31 0.5×	48 0.8×	15 0.5×	51	613
Suet-Peng Yong Malaysia	12	168 0.7×	127 0.9×	30 0.5×	24 0.4×	32 1.0×	33	390
R. R. Sedamkar India	6	167 0.7×	133 0.9×	76 1.2×	48 0.8×	9 0.3×	29	478
Saleh Albelwi Saudi Arabia	8	146 0.6×	152 1.0×	45 0.7×	27 0.5×	12 0.4×	15	413
Hanli Zhao China	16	355 1.6×	190 1.3×	50 0.8×	79 1.4×	9 0.3×	54	646
Guoheng Huang China	12	308 1.4×	119 0.8×	38 0.6×	77 1.4×	10 0.3×	97	523

Countries citing papers authored by Fayçal Hamdaoui

Since Specialization

Citations

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

Fields of papers citing papers by Fayçal Hamdaoui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fayçal Hamdaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Fayçal Hamdaoui. A scholar is included among the top collaborators of Fayçal Hamdaoui 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 Fayçal Hamdaoui. Fayçal Hamdaoui 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

Hamdaoui, Fayçal, et al.. (2025). A Novel 3D U-Net–Vision Transformer Hybrid with Multi-Scale Fusion for Precision Multimodal Brain Tumor Segmentation in 3D MRI. Electronics. 14(18). 3604–3604.

Hamdaoui, Fayçal, et al.. (2025). Innovative deep learning architectures for medical image diagnosis: a comprehensive review of convolutional, recurrent, and transformer models. The Visual Computer. 41(13). 11603–11628. 1 indexed citations

Hamdaoui, Fayçal & Anis Sakly. (2023). Automatic diagnostic system for segmentation of 3D/2D brain MRI images based on a hardware architecture. Microprocessors and Microsystems. 98. 104814–104814. 6 indexed citations

Hamdaoui, Fayçal, et al.. (2022). Automated brain tumour segmentation from multi‐modality magnetic resonance imaging data based on new particle swarm optimisation segmentation method. International Journal of Medical Robotics and Computer Assisted Surgery. 19(3). e2487–e2487. 1 indexed citations

Hamdaoui, Fayçal, et al.. (2022). Algorithmic Optimization of Vehicle Detection System based on Hybrid Metaheuristic with Machine Learning. 84–88. 1 indexed citations

Bayoudh, Khaled, et al.. (2021). A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets. The Visual Computer. 38(8). 2939–2970. 238 indexed citations breakdown →

Bayoudh, Khaled, Fayçal Hamdaoui, & Abdellatif Mtibaa. (2020). Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images. Physical and Engineering Sciences in Medicine. 43(4). 1415–1431. 35 indexed citations

Hamdaoui, Fayçal, et al.. (2019). 3D brain tumor segmentation in MRI images based on a modified PSO technique. International Journal of Imaging Systems and Technology. 29(4). 501–509. 4 indexed citations

Hamdaoui, Fayçal, et al.. (2017). Robust FPGA Hardware Architecture of DPSO Multilevel Image Segmentation. 30(2). 81–91. 1 indexed citations

10.

Hamdaoui, Fayçal, et al.. (2017). Linear SVM classifier based HOG car detection. 241–245. 24 indexed citations

11.

Hamdaoui, Fayçal, et al.. (2016). Multi-level fractional order PSO new paradigm algorithm for image segmentation. International Journal of Signal and Imaging Systems Engineering. 9(4/5). 218–218. 2 indexed citations

12.

Hamdaoui, Fayçal, et al.. (2016). Hardware architecture: Correlation-based approach for road sign detection. iii. 247–251. 1 indexed citations

13.

Hamdaoui, Fayçal, Anis Sakly, & Abdellatif Mtibaa. (2015). FPGA implementation of particle swarm optimization based on new fitness function forMRIimages segmentation. International Journal of Imaging Systems and Technology. 25(2). 139–147. 2 indexed citations

14.

Hamdaoui, Fayçal, Anis Sakly, & Abdellatif Mtibaa. (2015). Real-time synchronous hardware architecture for MRI images segmentation based on PSO. 11. 498–503. 3 indexed citations

15.

Hamdaoui, Fayçal, Anis Sakly, & Abdellatif Mtibaa. (2015). FPGA hardware architecture of correlation-based MRI images classification using XSG. International Journal of Computer Applications in Technology. 52(1). 77–77. 2 indexed citations

16.

Hamdaoui, Fayçal, Abdellatif Mtibaa, & Anis Sakly. (2014). Comparison between MPSO and MSFLA metaheuristics for MR brain image segmentation. 3. 164–168.

17.

Hamdaoui, Fayçal, Anis Sakly, & Abdellatif Mtibaa. (2013). Hardware Implementation of PSO-Architecture for Image Segmentation on FPGA. Asian Journal of Applied Sciences. 7(1). 1–12. 9 indexed citations

18.

Hamdaoui, Fayçal, et al.. (2013). Fast MR brain image segmentation based on modified Shuffled Frog Leaping Algorithm. Signal Image and Video Processing. 9(5). 1113–1120. 17 indexed citations

19.

Hamdaoui, Fayçal, et al.. (2013). A new images segmentation method based on modified particle swarm optimization algorithm. International Journal of Imaging Systems and Technology. 23(3). 265–271. 15 indexed citations

20.

Hamdaouı, Mohamed, et al.. (2013). Experimental Study and Mathematical Model to Follow the Drying Phenomenon of Knitted Textile Fabric. Journal of Engineered Fibers and Fabrics. 8(3). 2 indexed citations

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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