Najib Ben Aoun

471 total citations
27 papers, 230 citations indexed

About

Najib Ben Aoun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Najib Ben Aoun has authored 27 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Najib Ben Aoun's work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Brain Tumor Detection and Classification (4 papers). Najib Ben Aoun is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Brain Tumor Detection and Classification (4 papers). Najib Ben Aoun collaborates with scholars based in Tunisia, Saudi Arabia and Pakistan. Najib Ben Aoun's co-authors include Chokri Ben Amar, Mahmoud Mejdoub, Chokri Ben Amar, Haytham Elghazel, Ridha Ejbali, Alexandre Benoît, Patrick Lambert, Mourad Zaied, Wing‐Keung Wong and Amel Ali Alhussan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Najib Ben Aoun

26 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Najib Ben Aoun Tunisia 10 126 77 30 27 19 27 230
Amreen Batool South Korea 10 77 0.6× 84 1.1× 38 1.3× 56 2.1× 18 0.9× 18 229
Mario Alejandro Bravo-Ortíz Colombia 10 99 0.8× 82 1.1× 73 2.4× 32 1.2× 27 1.4× 16 271
Amit Doegar India 11 138 1.1× 96 1.2× 31 1.0× 20 0.7× 7 0.4× 24 280
Nidhal K. El Abbadi Iraq 9 118 0.9× 36 0.5× 34 1.1× 11 0.4× 14 0.7× 52 260
A S Remya Ajai India 8 92 0.7× 66 0.9× 18 0.6× 18 0.7× 9 0.5× 22 218
Tamilvizhi Thanarajan India 7 46 0.4× 50 0.6× 30 1.0× 60 2.2× 14 0.7× 16 265
Yufeng Zheng United States 9 144 1.1× 142 1.8× 95 3.2× 26 1.0× 19 1.0× 35 308
Tiago Gonçalves Portugal 9 84 0.7× 65 0.8× 38 1.3× 10 0.4× 7 0.4× 26 194
Prince Priya Malla India 10 51 0.4× 50 0.6× 17 0.6× 31 1.1× 26 1.4× 13 287
Jitesh Pradhan India 10 167 1.3× 48 0.6× 24 0.8× 13 0.5× 6 0.3× 31 270

Countries citing papers authored by Najib Ben Aoun

Since Specialization
Citations

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

Fields of papers citing papers by Najib Ben Aoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Najib Ben Aoun. 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 Najib Ben Aoun. The network helps show where Najib Ben Aoun may publish in the future.

Co-authorship network of co-authors of Najib Ben Aoun

This figure shows the co-authorship network connecting the top 25 collaborators of Najib Ben Aoun. A scholar is included among the top collaborators of Najib Ben Aoun 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 Najib Ben Aoun. Najib Ben Aoun 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.
Rahman, Hameedur, Najib Ben Aoun, Tanvir Fatima Naik Bukht, et al.. (2025). Automatic liver tumor segmentation of CT and MRI volumes using ensemble ResUNet-InceptionV4 model. Information Sciences. 704. 121966–121966. 4 indexed citations
2.
Gasmi, Karim, et al.. (2025). Enhanced Multimodal Physiological Signal Analysis for Pain Assessment Using Optimized Ensemble Deep Learning. Computer Modeling in Engineering & Sciences. 143(2). 2459–2489. 1 indexed citations
3.
Aoun, Najib Ben, et al.. (2025). Automatic avian parasitic egg identification from pertinent visual features using hybrid machine learning models. International Journal of Machine Learning and Cybernetics. 16(11). 9429–9440.
4.
Aoun, Najib Ben, et al.. (2024). DenseViT-XGB: A hybrid approach for dates varieties identification. Neurocomputing. 596. 127976–127976. 6 indexed citations
5.
Aoun, Najib Ben, et al.. (2024). ResMHA-Net: Enhancing Glioma Segmentation and Survival Prediction Using a Novel Deep Learning Framework. Computers, materials & continua/Computers, materials & continua (Print). 81(1). 885–909. 4 indexed citations
6.
Gasmi, Karim, et al.. (2024). Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique. Frontiers in Neuroinformatics. 18. 1444650–1444650. 5 indexed citations
7.
Aoun, Najib Ben, et al.. (2024). Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models. Heliyon. 10(9). e30308–e30308. 9 indexed citations
8.
Aoun, Najib Ben. (2024). A Review of Automatic Pain Assessment from Facial Information Using Machine Learning. SHILAP Revista de lepidopterología. 12(6). 92–92. 7 indexed citations
9.
Haq, Mahmood Ul, et al.. (2024). CapsNet-FR: Capsule Networks for Improved Recognition of Facial Features. Computers, materials & continua/Computers, materials & continua (Print). 79(2). 2169–2186. 3 indexed citations
10.
Aoun, Najib Ben, et al.. (2024). A review on kinship verification from facial information. The Visual Computer. 41(3). 1789–1809. 3 indexed citations
11.
Ahmad, Sadique, Najib Ben Aoun, Gauhar Ali, Mohammed ElAffendi, & Muhammad Shahid Anwar. (2023). Multi-Clustered Mathematical Model for Student Cognitive Skills Prediction Optimization. IEEE Access. 11. 65371–65381. 1 indexed citations
12.
Aoun, Najib Ben, et al.. (2023). Image super resolution boosting using beta wavelet. Signal Image and Video Processing. 18(2). 1821–1831. 2 indexed citations
13.
Adoni, Wilfried Yves Hamilton, Najib Ben Aoun, Najib Ben Aoun, et al.. (2023). COV19-Dijkstra: A COVID-19 Propagation Model Based on Dijkstra’s Algorithm. Journal of Computer Science. 19(1). 75–86. 2 indexed citations
14.
Aoun, Najib Ben, et al.. (2023). Deep Learning-Based Parasitic Egg Identification From a Slender-Billed Gull’s Nest. IEEE Access. 11. 37194–37202. 5 indexed citations
15.
Aoun, Najib Ben, et al.. (2019). Semantic segmentation using reinforced fully convolutional densenet with multiscale kernel. Multimedia Tools and Applications. 78(15). 22077–22098. 11 indexed citations
16.
Aoun, Najib Ben, et al.. (2018). Improved Very Deep Recurrent Convolutional Neural Network for Object Recognition. 2497–2502. 10 indexed citations
17.
Mejdoub, Mahmoud, Najib Ben Aoun, & Chokri Ben Amar. (2015). Bag of frequent subgraphs approach for image classification. Intelligent Data Analysis. 19(1). 75–88. 14 indexed citations
18.
Aoun, Najib Ben, Mahmoud Mejdoub, & Chokri Ben Amar. (2014). Bag of sub-graphs for video event recognition. 1547–1551. 9 indexed citations
19.
Aoun, Najib Ben, Haytham Elghazel, & Chokri Ben Amar. (2011). Graph modeling based video event detection. 114–117. 20 indexed citations
20.
Aoun, Najib Ben, et al.. (2010). Multiresolution motion estimation and compensation for video coding. 2. 1121–1124. 10 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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