Ahmed Sedik

1.6k total citations
56 papers, 1.1k citations indexed

About

Ahmed Sedik is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ahmed Sedik has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 12 papers in Artificial Intelligence. Recurrent topics in Ahmed Sedik's work include COVID-19 diagnosis using AI (8 papers), Digital Media Forensic Detection (8 papers) and Biometric Identification and Security (7 papers). Ahmed Sedik is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Digital Media Forensic Detection (8 papers) and Biometric Identification and Security (7 papers). Ahmed Sedik collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Ahmed Sedik's co-authors include Fathi E. Abd El‐Samie, Ahmed A. Abd El‐Latif, Mohamed Hammad, Ghada M. El‐Banby, Ashraf A. M. Khalaf, Brij B. Gupta, Abdullah M. Iliyasu, Ali I. Siam, Basma Abd El-Rahiem and Mohamed M. Dessouky and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Technological Forecasting and Social Change.

In The Last Decade

Ahmed Sedik

53 papers receiving 991 citations

Peers

Ahmed Sedik

CVPR

RNMI

Avinash G. Keskar India

Mohammad Farukh Hashmi India

Amr Elchouemi United States

Igi Ardiyanto Indonesia

Galip Aydın Türkiye

Cemal Köse Türkiye

Farhan Riaz Pakistan

M. Arfan Jaffar Pakistan

AKM Azad Australia

Avinash G. Keskar India

Ahmed Sedik

482 ×1.2

CVPR

318 ×1.1

229 ×0.8

RNMI

84 ×0.6

44 ×0.4

Citations per year, relative to Ahmed Sedik Ahmed Sedik (= 1×) peers Avinash G. Keskar

Countries citing papers authored by Ahmed Sedik

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed Sedik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Sedik

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

AboRas, Kareem M., et al.. (2025). Hybrid dual-area power grid frequency fluctuation effective control utilizing a maiden combination of MOA-based 1 + PIID and PD ^μ F ^λ controllers. Science Progress. 108(1). 352301017–352301017. 2 indexed citations

Sharshir, Swellam W., Ahmed Sedik, Mohamed A. Hamada, et al.. (2025). Data-driven prediction of hemispherical solar distiller performance: Optimizing water production with machine learning. Scientific African. 29. e02851–e02851. 1 indexed citations

Khattak, Sohaib Bin Altaf, et al.. (2025). Enhanced Mobile Vehicle Tracking Based on LPWAN and AI for Logistics Applications. 1–6.

Farhaoui, Yousef, et al.. (2024). Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision. Sustainability. 16(17). 7462–7462. 2 indexed citations

Sedik, Ahmed, et al.. (2023). Efficient Multi-Biometric Secure-Storage Scheme Based on Deep Learning and Crypto-Mapping Techniques. Mathematics. 11(3). 703–703. 8 indexed citations

Asim, Muhammad, Zuping Zhang, Ammar Muthanna, et al.. (2023). Target Detection and Recognition for Traffic Congestion in Smart Cities Using Deep Learning-Enabled UAVs: A Review and Analysis. Applied Sciences. 13(6). 3995–3995. 36 indexed citations

Kiani, Saad Hassan, Hüseyin Şerif Savcı, Mehr E Munir, Ahmed Sedik, & Hala Mostafa. (2023). An Ultra-Wide Band MIMO Antenna System with Enhanced Isolation for Microwave Imaging Applications. Micromachines. 14(9). 1732–1732. 15 indexed citations

El-Rashidy, Nora, Ahmed Sedik, Ali I. Siam, & Zainab H. Ali. (2023). An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural Computing and Applications. 35(14). 10695–10716. 14 indexed citations

Sedik, Ahmed, Mohamed Marey, & Hala Mostafa. (2023). An Adaptive Fatigue Detection System Based on 3D CNNs and Ensemble Models. Symmetry. 15(6). 1274–1274. 5 indexed citations

10.

Sedik, Ahmed, Walid El‐Shafai, Ghada M. El‐Banby, et al.. (2023). A Proposed Deep-Learning-Based Framework for Medical Image Communication, Storage and Diagnosis. Wireless Personal Communications. 131(4). 2331–2369. 3 indexed citations

11.

Sedik, Ahmed, Mohamed Marey, & Hala Mostafa. (2023). WFT-Fati-Dec: Enhanced Fatigue Detection AI System Based on Wavelet Denoising and Fourier Transform. Applied Sciences. 13(5). 2785–2785. 11 indexed citations

12.

Alharbey, Riad, et al.. (2022). Fatigue State Detection for Tired Persons in Presence of Driving Periods. IEEE Access. 10. 79403–79418. 23 indexed citations

13.

Sedik, Ahmed, Amr A. Abohany, Karam M. Sallam, Kumudu S. Munasinghe, & T. Medhat. (2022). Deep fake news detection system based on concatenated and recurrent modalities. Expert Systems with Applications. 208. 117953–117953. 17 indexed citations

14.

Radwan, Ahmed A., et al.. (2022). Levonorgestrel-releasing intrauterine system versus systemic progestins in management of endometrial hyperplasia: A systemic review and meta-analysis. Journal of Gynecology Obstetrics and Human Reproduction. 51(8). 102432–102432. 5 indexed citations

15.

Hammad, Mohamed, Lo’ai Tawalbeh, Abdullah M. Iliyasu, et al.. (2022). Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images. Journal of King Saud University - Science. 34(3). 101898–101898. 11 indexed citations

16.

Siam, Ali I., Ahmed Sedik, Walid El‐Shafai, et al.. (2021). Biosignal classification for human identification based on convolutional neural networks. International Journal of Communication Systems. 34(7). 25 indexed citations

17.

El-Rahiem, Basma Abd, et al.. (2021). An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream. Journal of Ambient Intelligence and Humanized Computing. 13(4). 2177–2189. 14 indexed citations

18.

Sedik, Ahmed, Mohamed Hammad, Fathi E. Abd El‐Samie, Brij B. Gupta, & Ahmed A. Abd El‐Latif. (2021). Efficient deep learning approach for augmented detection of Coronavirus disease. Neural Computing and Applications. 34(14). 11423–11440. 145 indexed citations

19.

Sedik, Ahmed, Walid El‐Shafai, Heba M. El‐Hoseny, et al.. (2020). Classification of retinal images based on convolutional neural network. Microscopy Research and Technique. 84(3). 394–414. 53 indexed citations

20.

Sedik, Ahmed, Ghada M. El‐Banby, Adel S. El‐Fishawy, et al.. (2020). Classification of Corneal Pattern Based on Convolutional Neural Network. 29(2). 9–14. 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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