Oumaima Saidani

1.4k total citations
58 papers, 521 citations indexed

About

Oumaima Saidani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Oumaima Saidani has authored 58 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Oumaima Saidani's work include COVID-19 diagnosis using AI (7 papers), Brain Tumor Detection and Classification (6 papers) and Network Security and Intrusion Detection (5 papers). Oumaima Saidani is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Brain Tumor Detection and Classification (6 papers) and Network Security and Intrusion Detection (5 papers). Oumaima Saidani collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Oumaima Saidani's co-authors include Nazik Alturki, Muhammad Umer, Imran Ashraf, Ala Saleh Alluhaidan, Rashid Jahangir, Leila Jamel, Shtwai Alsubai, Abid Ishaq, Amel Ksibi and Latifah Almuqren and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Oumaima Saidani

47 papers receiving 497 citations

Peers

Countries citing papers authored by Oumaima Saidani

Since Specialization

Citations

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

Fields of papers citing papers by Oumaima Saidani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oumaima Saidani

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

#	Work	Indexed citations
1	Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women 2025 ·Computer Modeling in Engineering & Sciences ·(unknown), Manel Ayadi, (unknown), Oumaima Saidani, Leila Jamel, Nouf Abdullah Almujally, Amel Ksibi, Mohammed Zakariah	1
2	Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture 2025 ·Egyptian Informatics Journal ·Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais, Muhammad Naveed Tahir, (unknown), (unknown), (unknown), Oumaima Saidani, M. Ijaz Khan, Junfeng Wu, Wei Zhang, Jiandong Hu	2
3	Explainable skin cancer diagnosis with parallel attention mechanism for segmentation and classification 2025 ·Biomedical Signal Processing and Control ·Adel Thaljaoui, (unknown), Inzamam Mashood Nasir, Oumaima Saidani, (unknown), Taoufik Saidani	0
4	Proactive Zero-Trust Intrusion Detection for Consumer IoT Applications Using Lightweight Ensemble Learning With Anomaly Analysis 2025 ·IEEE Transactions on Consumer Electronics ·(unknown), Deepsubhra Guha Roy, (unknown), Surbhi Bhatia, (unknown), Oumaima Saidani	0
5	Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning 2025 ·Frontiers in Computational Neuroscience ·(unknown), (unknown), (unknown), Oumaima Saidani, Muhammad Fainan Hanif, (unknown), Muhammad Shahbaz Khan	4
6	A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks 2024 ·Alexandria Engineering Journal ·(unknown), (unknown), (unknown), Oumaima Saidani, (unknown), Anum Masood, (unknown), Muhammad Attique Khan, Deepak Gupta	13
7	Federated Learning (FL) Model of Wind Power Prediction 2024 ·IEEE Access ·(unknown), (unknown), Rab Nawaz Bashir, Oumaima Saidani, Rashid Jahangir	7
8	Efficient and Secure IoT Based Smart Home Automation Using Multi-Model Learning and Blockchain Technology 2024 ·Computer Modeling in Engineering & Sciences ·Nazik Alturki, Raed Alharthi, Muhammad Umer, Oumaima Saidani, (unknown), (unknown), Shtwai Alsubai, Ali Kashif Bashir	3
9	Robust Control for Cancer Chemotherapy Through Time Delayed Estimation Philosophy 2024 ·IEEE Access ·(unknown), Oumaima Saidani, Latifah Almuqren, Syed Muhammad Amrr, (unknown), Abdelaziz Salah Saidi	1
10	White blood cells classification using multi-fold pre-processing and optimized CNN model 2024 ·Scientific Reports ·Oumaima Saidani, Muhammad Umer, Nazik Alturki, (unknown), (unknown), Shtwai Alsubai, Tai-hoon Kim, Imran Ashraf	21
11	A novel approach for breast cancer detection using optimized ensemble learning framework and XAI 2024 ·Image and Vision Computing ·(unknown), Lucia Cascone, Nazik Alturki, Oumaima Saidani, (unknown), Muhammad Umer	27
12	Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm 2024 ·Frontiers in Oncology ·(unknown), Muhammad Attique Khan, (unknown), (unknown), Oumaima Saidani, Nazik Alturki	28
13	Correction to: Convolutional neural network and ensemble machine learning model for optimizing performance of emotion recognition in wild 2024 ·Multimedia Tools and Applications ·Nazik Alturki, Muhammad Umer, (unknown), Oumaima Saidani, Andrea F. Abate, Imran Ashraf	1
14	Innovative Feature Extraction and Machine Learning Joint Approaches for Automated Detection of Focal Cortical Dysplasia Type II 2024 ·IEEE Access ·(unknown), Nazik Alturki, (unknown), Oumaima Saidani, Ridha Ejbali	2
15	Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques 2023 ·Water ·Hamza Ahmad Madni, Muhammad Umer, Abid Ishaq, (unknown), Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf	31
16	Improving Sentiment Prediction of Textual Tweets Using Feature Fusion and Deep Machine Ensemble Model 2023 ·Electronics ·Hamza Ahmad Madni, Muhammad Umer, (unknown), Yu‐Chen Hu, Oumaima Saidani, Shtwai Alsubai, Monia Hamdi, Imran Ashraf	9
17	Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification 2023 ·Electronics ·(unknown), (unknown), (unknown), Fatma S. Alrayes, Oumaima Saidani, Kia Dashtipour	19
18	Real time emotions recognition through facial expressions 2023 ·Multimedia Tools and Applications ·(unknown), Muhammad Umer, Oumaima Saidani, Monia Hamdi, Khaled Alnowaiser, Carmen Bisogni, Andrea F. Abate, Imran Ashraf	2
19	Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques 2023 ·Diagnostics ·Amel Ksibi, Mohammed Zakariah, Leila Jamel, Oumaima Saidani, Latifah Almuqren, (unknown)	31
20	Towards Situational Business Process Meta-Modelling. 2008 ·Oumaima Saidani, Selmin Nurcan	2

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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