Manel Ayadi

604 total citations
34 papers, 354 citations indexed

About

Manel Ayadi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Manel Ayadi has authored 34 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Manel Ayadi's work include AI in cancer detection (5 papers), Transportation and Mobility Innovations (4 papers) and COVID-19 diagnosis using AI (4 papers). Manel Ayadi is often cited by papers focused on AI in cancer detection (5 papers), Transportation and Mobility Innovations (4 papers) and COVID-19 diagnosis using AI (4 papers). Manel Ayadi collaborates with scholars based in Saudi Arabia, India and Tunisia. Manel Ayadi's co-authors include Amel Ksibi, Ben Othman Soufiene, Mona Jamjoom, Amal Al‐Rasheed, Zahid Ullah, Hédi Sakli, Mohammed Zakariah, Mashael M. Asiri, Monia Hamdi and Nouf Abdullah Almujally and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Manel Ayadi

30 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manel Ayadi Saudi Arabia 11 95 81 62 47 46 34 354
M.A. Saleem Durai India 6 145 1.5× 193 2.4× 49 0.8× 25 0.5× 36 0.8× 29 368
Asfandyar Khan Pakistan 11 80 0.8× 70 0.9× 42 0.7× 11 0.2× 69 1.5× 22 358
Misbah Ahmad South Korea 14 110 1.2× 215 2.7× 28 0.5× 43 0.9× 25 0.5× 31 426
Guangwei Zhang China 8 126 1.3× 121 1.5× 62 1.0× 20 0.4× 86 1.9× 31 371
Isha Kansal India 11 78 0.8× 102 1.3× 39 0.6× 16 0.3× 11 0.2× 39 309
Sujata Chakravarty India 12 168 1.8× 73 0.9× 78 1.3× 8 0.2× 43 0.9× 52 497
Muhammad Saqib Australia 11 114 1.2× 210 2.6× 16 0.3× 36 0.8× 16 0.3× 29 432
Honghui Fan China 10 88 0.9× 158 2.0× 52 0.8× 10 0.2× 20 0.4× 49 363
Manish Shrivastava India 10 63 0.7× 115 1.4× 110 1.8× 14 0.3× 43 0.9× 34 332
S. Vasavi India 9 51 0.5× 68 0.8× 22 0.4× 14 0.3× 34 0.7× 51 241

Countries citing papers authored by Manel Ayadi

Since Specialization
Citations

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

Fields of papers citing papers by Manel Ayadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manel Ayadi

This figure shows the co-authorship network connecting the top 25 collaborators of Manel Ayadi. A scholar is included among the top collaborators of Manel 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 Manel Ayadi. Manel Ayadi 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
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Ayadi, Manel, Oumaima Saidani, Leila Jamel, et al.. (2025). Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women. Computer Modeling in Engineering & Sciences. 142(3). 2959–3001. 1 indexed citations
4.
Roy, Bappadittya, et al.. (2025). Quality of Service-Aware 6G- Enabled NB-IoT for Health Monitoring in Long Distance High-Speed Trains. IEEE Transactions on Consumer Electronics. 71(1). 1136–1147.
5.
Prakash, Deo, et al.. (2025). Optimised RFO tuned RF-DETR model for precision urine microscopy for renal and systemic disease diagnosis. Scientific Reports. 15(1). 25842–25842.
6.
Ksibi, Amel, et al.. (2025). Multimodal Siamese networks for dementia detection from speech in women. Scientific Reports. 15(1). 30938–30938.
7.
Dalal, Surjeet, Umesh Kumar Lilhore, Nidhi Sharma, et al.. (2024). Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency. PeerJ Computer Science. 10. e1939–e1939. 9 indexed citations
8.
Mallik, Saurav, et al.. (2024). An Improved Adaptive Neuro-fuzzy Inference Framework for Lung Cancer Detection and Prediction on Internet of Medical Things Platform. International Journal of Computational Intelligence Systems. 17(1). 6 indexed citations
9.
Islam, Umar, et al.. (2024). SentinelFusion based machine learning comprehensive approach for enhanced computer forensics. PeerJ Computer Science. 10. e2183–e2183. 2 indexed citations
10.
Elmannai, Hela, Monia Hamdi, Souham Meshoul, et al.. (2024). An Improved Deep Learning Framework for Automated Optic Disc Localization and Glaucoma Detection. Computer Modeling in Engineering & Sciences. 140(2). 1429–1457. 4 indexed citations
11.
Dalal, Surjeet, Umesh Kumar Lilhore, Neetu Faujdar, et al.. (2023). Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree. Journal of Cloud Computing Advances Systems and Applications. 12(1). 19 indexed citations
12.
Hamdi, Monia, Mohammad Alibakhshikenari, Manel Ayadi, et al.. (2023). Acoustic Wave Reflection in Water Affects Underwater Wireless Sensor Networks. Sensors. 23(11). 5108–5108. 17 indexed citations
13.
Adnan, Muhammad, et al.. (2023). Leveraging Software-Defined Networking for a QoS-Aware Mobility Architecture for Named Data Networking. Electronics. 12(8). 1914–1914. 4 indexed citations
14.
Rafique, Adnan Ahmed, Amal Al‐Rasheed, Amel Ksibi, et al.. (2023). Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images. IEEE Access. 11. 2993–3007. 31 indexed citations
15.
Chinthaginjala, Ravikumar, et al.. (2023). A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm. Sensors. 23(22). 9154–9154. 8 indexed citations
16.
Ksibi, Amel, Manel Ayadi, Latifah Almuqren, et al.. (2023). Secure and Fast Emergency Road Healthcare Service Based on Blockchain Technology for Smart Cities. Sustainability. 15(7). 5748–5748. 11 indexed citations
17.
Alkhawaldeh, Rami S., Amel Ksibi, Nazeeh Ghatasheh, et al.. (2023). Convolution Neural Network Bidirectional Long Short-Term Memory for Heartbeat Arrhythmia Classification. International Journal of Computational Intelligence Systems. 16(1). 7 indexed citations
18.
Shaukat, Kamran, Talha Mahboob Alam, Ibrahim A. Hameed, et al.. (2022). A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics. 12(12). 3138–3138. 20 indexed citations
19.
Ayadi, Manel, Amel Ksibi, Amal Al‐Rasheed, & Ben Othman Soufiene. (2022). COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images. Healthcare. 10(10). 2072–2072. 10 indexed citations
20.
Ksibi, Amel, Mohammed Zakariah, Manel Ayadi, et al.. (2022). Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks. Computational Intelligence and Neuroscience. 2022. 1–13. 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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