Mouna Afif

773 total citations
35 papers, 429 citations indexed

About

Mouna Afif is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Mouna Afif has authored 35 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 5 papers in Media Technology. Recurrent topics in Mouna Afif's work include Video Surveillance and Tracking Methods (20 papers), Advanced Neural Network Applications (20 papers) and Tactile and Sensory Interactions (8 papers). Mouna Afif is often cited by papers focused on Video Surveillance and Tracking Methods (20 papers), Advanced Neural Network Applications (20 papers) and Tactile and Sensory Interactions (8 papers). Mouna Afif collaborates with scholars based in Tunisia, Saudi Arabia and France. Mouna Afif's co-authors include Yahia Said, Riadh Ayachi, Mohamed Atri, Edwige Pissaloux, Abdessalem Ben Abdelali, Mohsen Machhout, Kais Bouallegue, Oumaima Saidani and Taoufik Saidani and has published in prestigious journals such as Scientific Reports, Alexandria Engineering Journal and Multimedia Tools and Applications.

In The Last Decade

Mouna Afif

31 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mouna Afif Tunisia 10 295 97 81 66 41 35 429
Riadh Ayachi Tunisia 13 348 1.2× 104 1.1× 93 1.1× 70 1.1× 43 1.0× 35 497
Shao-Kuo Tai Taiwan 7 148 0.5× 66 0.7× 58 0.7× 52 0.8× 19 0.5× 14 323
Justin A. Eichel Canada 5 538 1.8× 138 1.4× 88 1.1× 49 0.7× 31 0.8× 10 608
Kunyu Peng Germany 11 395 1.3× 46 0.5× 43 0.5× 111 1.7× 18 0.4× 34 561
Xuejian Rong United States 9 264 0.9× 146 1.5× 53 0.7× 41 0.6× 9 0.2× 17 426
Huiying Shen United States 13 230 0.8× 211 2.2× 25 0.3× 22 0.3× 13 0.3× 28 403
Jinsoo Cho South Korea 12 246 0.8× 99 1.0× 15 0.2× 71 1.1× 44 1.1× 50 577
Shuren Zhou China 10 246 0.8× 45 0.5× 76 0.9× 135 2.0× 30 0.7× 34 540
Hasan Sajid United States 13 352 1.2× 73 0.8× 44 0.5× 111 1.7× 16 0.4× 31 541
Chucai Yi United States 16 751 2.5× 212 2.2× 317 3.9× 67 1.0× 15 0.4× 23 933

Countries citing papers authored by Mouna Afif

Since Specialization
Citations

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

Fields of papers citing papers by Mouna Afif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mouna Afif

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

All Works

20 of 20 papers shown
1.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2025). Deep embedded lightweight CNN network for indoor objects detection on FPGA. Journal of Parallel and Distributed Computing. 201. 105085–105085. 2 indexed citations
2.
Ayachi, Riadh, Mouna Afif, Yahia Said, & Abdessalem Ben Abdelali. (2025). Lightweight path aggregation network for pedestrian detection on FPGA board. Journal of Parallel and Distributed Computing. 204. 105137–105137.
3.
Ayachi, Riadh, et al.. (2025). Assessing YOLO models for real-time object detection in urban environments for advanced driver-assistance systems (ADAS). Alexandria Engineering Journal. 123. 530–549. 3 indexed citations
4.
Said, Yahia, et al.. (2025). AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis. Scientific Reports. 15(1). 23058–23058.
5.
Afif, Mouna, et al.. (2024). An End-to-End Object Detection System in Indoor Environments Using Lightweight Neural Network. Traitement du signal. 41(5). 2711–2719. 2 indexed citations
6.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2023). An indoor scene recognition system based on deep learning evolutionary algorithms. Soft Computing. 27(21). 15581–15594. 2 indexed citations
7.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2023). Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction. Multimedia Tools and Applications. 82(17). 26885–26899. 15 indexed citations
8.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2022). An evaluation of EfficientDet for object detection used for indoor robots assistance navigation. Journal of Real-Time Image Processing. 19(3). 651–661. 12 indexed citations
9.
Ayachi, Riadh, Mouna Afif, Yahia Said, & Abdessalem Ben Abdelali. (2022). Traffic Sign recognition for smart vehicles based on lightweight CNN implementation on mobile devices. 12–18. 2 indexed citations
10.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2021). Indoor sign Detection System for Indoor Assistance Navigation. 1 indexed citations
11.
Ayachi, Riadh, Mouna Afif, Yahia Said, & Abdessalem Ben Abdelali. (2020). pedestrian detection for advanced driving assisting system: a transfer learning approach. 1–5. 9 indexed citations
12.
Ayachi, Riadh, Mouna Afif, Yahia Said, & Abdessalem Ben Abdelali. (2020). Traffic Sign Recognition Based On Scaled Convolutional Neural Network For Advanced Driver Assistance System. 149–154. 8 indexed citations
13.
Afif, Mouna, Riadh Ayachi, Yahia Said, Edwige Pissaloux, & Mohamed Atri. (2020). An Evaluation of RetinaNet on Indoor Object Detection for Blind and Visually Impaired Persons Assistance Navigation. Neural Processing Letters. 51(3). 2265–2279. 78 indexed citations
14.
Afif, Mouna, Riadh Ayachi, Yahia Said, Edwige Pissaloux, & Mohamed Atri. (2020). Recognizing signs and doors for Indoor Wayfinding for Blind and Visually Impaired Persons. 1–4. 8 indexed citations
15.
Afif, Mouna, Yahia Said, & Mohamed Atri. (2020). Computer vision algorithms acceleration using graphic processors NVIDIA CUDA. Cluster Computing. 23(4). 3335–3347. 21 indexed citations
16.
Afif, Mouna, Riadh Ayachi, Yahia Said, & Mohamed Atri. (2020). Deep Learning Based Application for Indoor Scene Recognition. Neural Processing Letters. 51(3). 2827–2837. 53 indexed citations
17.
Afif, Mouna, et al.. (2020). Deep Learning based Approach for Bone Diagnosis Classification in Ultrasonic Computed Tomographic Images. International Journal of Advanced Computer Science and Applications. 11(12). 5 indexed citations
18.
Afif, Mouna, Riadh Ayachi, Yahia Said, Edwige Pissaloux, & Mohamed Atri. (2019). A Novel Dataset For Intelligent Indoor Object Detection Systems. 1(1). 52–58. 8 indexed citations
19.
Afif, Mouna, Yahia Said, & Mohamed Atri. (2018). Efficient 2D Convolution Filters Implementations on Graphics Processing Unit Using NVIDIA CUDA. International Journal of Image Graphics and Signal Processing. 10(8). 1–8. 3 indexed citations
20.
Afif, Mouna, et al.. (2016). Efficient implementation of sobel filter based on GPUs cards. 1–4. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Riadh Ayachi Breakdown of academic impact, for papers by Shao-Kuo Tai Breakdown of academic impact, for papers by Justin A. Eichel Breakdown of academic impact, for papers by Kunyu Peng Breakdown of academic impact, for papers by Xuejian Rong Breakdown of academic impact, for papers by Huiying Shen Breakdown of academic impact, for papers by Jinsoo Cho Breakdown of academic impact, for papers by Shuren Zhou Breakdown of academic impact, for papers by Hasan Sajid Breakdown of academic impact, for papers by Chucai Yi
Rankless by CCL
2026