Aya Nabil Sayed

485 total citations
18 papers, 276 citations indexed

About

Aya Nabil Sayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Aya Nabil Sayed has authored 18 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Environmental Engineering. Recurrent topics in Aya Nabil Sayed's work include Air Quality Monitoring and Forecasting (4 papers), Building Energy and Comfort Optimization (3 papers) and Simulation-Based Education in Healthcare (3 papers). Aya Nabil Sayed is often cited by papers focused on Air Quality Monitoring and Forecasting (4 papers), Building Energy and Comfort Optimization (3 papers) and Simulation-Based Education in Healthcare (3 papers). Aya Nabil Sayed collaborates with scholars based in Qatar, United Arab Emirates and Greece. Aya Nabil Sayed's co-authors include Fayçal Bensaali, Yassine Himeur, Abdullah Alsalemi, Abbes Amira, Iraklis Varlamis, George Dimitrakopoulos, Mahdi Houchati, Christos Chronis, Ali Ait Hssain and Nader Meskin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Aya Nabil Sayed

15 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aya Nabil Sayed Qatar 8 78 68 59 53 46 18 276
Anam Nawaz Khan South Korea 12 102 1.3× 95 1.4× 122 2.1× 56 1.1× 48 1.0× 41 421
Salah Bouktif United Arab Emirates 5 97 1.2× 97 1.4× 179 3.0× 37 0.7× 28 0.6× 13 351
Hoe-Kyung Jung South Korea 9 63 0.8× 25 0.4× 48 0.8× 51 1.0× 77 1.7× 80 322
Shudong Yang China 3 102 1.3× 22 0.3× 59 1.0× 23 0.4× 34 0.7× 4 286
Christos Chronis Greece 10 69 0.9× 52 0.8× 71 1.2× 15 0.3× 48 1.0× 20 231
Seungwon Jung South Korea 11 167 2.1× 87 1.3× 255 4.3× 55 1.0× 50 1.1× 16 472
Ali Braytee Australia 12 114 1.5× 18 0.3× 56 0.9× 28 0.5× 86 1.9× 40 360
Yunzhe Wang China 11 61 0.8× 205 3.0× 162 2.7× 50 0.9× 52 1.1× 52 438

Countries citing papers authored by Aya Nabil Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Aya Nabil Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aya Nabil Sayed. 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 Aya Nabil Sayed. The network helps show where Aya Nabil Sayed may publish in the future.

Co-authorship network of co-authors of Aya Nabil Sayed

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

All Works

18 of 18 papers shown
1.
Sayed, Aya Nabil, Yassine Himeur, Iraklis Varlamis, & Fayçal Bensaali. (2025). Continual learning for energy management systems: A review of methods and applications, and a case study. Applied Energy. 384. 125458–125458. 4 indexed citations
2.
Mahmud, Sakib, et al.. (2025). A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks. Renewable and Sustainable Energy Reviews. 226. 116481–116481.
3.
Sayed, Aya Nabil, Sakib Mahmud, Fayçal Bensaali, Muhammad E. H. Chowdhury, & Yassine Himeur. (2025). Optimizing energy efficiency through precise occupancy detection: A tailored CNN architecture for smart buildings and beyond. Neural Computing and Applications. 37(21). 16487–16503. 2 indexed citations
4.
Sayed, Aya Nabil, et al.. (2024). From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions. Big Data and Cognitive Computing. 8(4). 36–36. 15 indexed citations
5.
Chronis, Christos, Iraklis Varlamis, Yassine Himeur, et al.. (2024). A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems. SHILAP Revista de lepidopterología. 5. 227–247. 16 indexed citations
6.
Sayed, Aya Nabil, Fayçal Bensaali, Yassine Himeur, George Dimitrakopoulos, & Iraklis Varlamis. (2024). Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring. Energy and Buildings. 328. 115151–115151. 16 indexed citations
7.
Sayed, Aya Nabil, et al.. (2024). Security-Driven Performance Analysis of Lightweight Cryptography for Energy Efficiency Applications. Qatar University QSpace (Qatar University). 1–6. 2 indexed citations
8.
Himeur, Yassine, Aya Nabil Sayed, Abdullah Alsalemi, Fayçal Bensaali, & Abbes Amira. (2023). Edge AI for Internet of Energy: Challenges and perspectives. Internet of Things. 25. 101035–101035. 35 indexed citations
9.
Sayed, Aya Nabil, Fayçal Bensaali, Yassine Himeur, & Mahdi Houchati. (2023). Edge-Based Real-Time Occupancy Detection System through a Non-Intrusive Sensing System. Energies. 16(5). 2388–2388. 12 indexed citations
10.
Sayed, Aya Nabil, Yassine Himeur, & Fayçal Bensaali. (2023). From time-series to 2D images for building occupancy prediction using deep transfer learning. Engineering Applications of Artificial Intelligence. 119. 105786–105786. 39 indexed citations
11.
Sayed, Aya Nabil, et al.. (2023). Ambulatory extracorporeal membrane oxygenation simulator: The next frontier in clinical training. Perfusion. 39(8). 1558–1569.
12.
Sayed, Aya Nabil. (2023). Assessment of Clinical Competencies for Internship Nursing students Condensed Program. Assiut Scientific Nursing Journal. 0(0). 0–0. 1 indexed citations
13.
Sayed, Aya Nabil, Ridha Hamila, Yassine Himeur, & Fayçal Bensaali. (2022). Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis. Qatar University QSpace (Qatar University). 50–54. 2 indexed citations
14.
Sayed, Aya Nabil, Yassine Himeur, & Fayçal Bensaali. (2022). Deep and transfer learning for building occupancy detection: A review and comparative analysis. Engineering Applications of Artificial Intelligence. 115. 105254–105254. 86 indexed citations
15.
Sayed, Aya Nabil, et al.. (2022). IoT‐based mock oxygenator for extracorporeal membrane oxygenation simulator. Artificial Organs. 46(11). 2135–2146. 2 indexed citations
16.
Sayed, Aya Nabil, Yassine Himeur, Abdullah Alsalemi, Fayçal Bensaali, & Abbes Amira. (2021). Intelligent Edge-Based Recommender System for Internet of Energy Applications. IEEE Systems Journal. 16(3). 5001–5010. 40 indexed citations
17.
Alsalemi, Abdullah, et al.. (2021). Advanced Thermochromic Ink System for Medical Blood Simulation. Membranes. 11(7). 520–520. 3 indexed citations
18.
Sayed, Aya Nabil, et al.. (2017). A New Image Super-Resolution Restoration Algorithm. International Journal of Computer Applications. 173(10). 5–12. 1 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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