Khaled Shaban

4.8k total citations · 1 hit paper
131 papers, 3.4k citations indexed

About

Khaled Shaban is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Khaled Shaban has authored 131 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 41 papers in Computer Networks and Communications and 38 papers in Artificial Intelligence. Recurrent topics in Khaled Shaban's work include Software-Defined Networks and 5G (23 papers), Topic Modeling (20 papers) and High voltage insulation and dielectric phenomena (19 papers). Khaled Shaban is often cited by papers focused on Software-Defined Networks and 5G (23 papers), Topic Modeling (20 papers) and High voltage insulation and dielectric phenomena (19 papers). Khaled Shaban collaborates with scholars based in Qatar, Canada and United Arab Emirates. Khaled Shaban's co-authors include Ayman El‐Hag, Chadi Assi, Long Qu, H. Fayaz, Glenn Hardaker, Atika Qazi, Khalid Haruna, Nasrudin Abd Rahim, Daniyal Alghazzawi and Hazem Hajj and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Khaled Shaban

126 papers receiving 3.2k citations

Hit Papers

Towards Sustainable Energy: A Systematic Review of Renewa... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khaled Shaban Qatar 29 1.5k 819 679 554 422 131 3.4k
Petr Musı́lek Canada 28 1.8k 1.2× 511 0.6× 652 1.0× 975 1.8× 809 1.9× 218 4.0k
Jun Zhao China 32 1.3k 0.8× 969 1.2× 473 0.7× 1.1k 2.0× 135 0.3× 363 4.4k
Liang Liang China 28 866 0.6× 564 0.7× 839 1.2× 273 0.5× 284 0.7× 250 3.3k
Rui Castro Portugal 35 2.1k 1.4× 584 0.7× 564 0.8× 805 1.5× 106 0.3× 170 3.8k
Xiufeng Liu China 31 983 0.7× 542 0.7× 209 0.3× 387 0.7× 240 0.6× 180 2.8k
Shady S. Refaat Qatar 28 2.1k 1.4× 490 0.6× 152 0.2× 1.1k 1.9× 132 0.3× 166 3.0k
David Flynn United Kingdom 30 3.1k 2.1× 423 0.5× 851 1.3× 1.3k 2.4× 1.4k 3.3× 219 6.2k
Fang Fang China 37 1.2k 0.8× 566 0.7× 487 0.7× 1.3k 2.4× 72 0.2× 220 3.7k
Tanveer Ahmad China 29 2.4k 1.6× 618 0.8× 134 0.2× 556 1.0× 189 0.4× 37 4.4k
Karzan Wakil Iraq 27 487 0.3× 393 0.5× 325 0.5× 273 0.5× 374 0.9× 83 2.6k

Countries citing papers authored by Khaled Shaban

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Shaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khaled Shaban

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled Shaban. A scholar is included among the top collaborators of Khaled Shaban 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 Khaled Shaban. Khaled Shaban 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.
Hamdi, Ali, et al.. (2025). CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning. Scientific Reports. 15(1). 23016–23016. 1 indexed citations
2.
Abdellatif, Alaa Awad, et al.. (2024). ODL: Opportunistic Distributed Learning for Intelligent IoT Systems. IEEE Internet of Things Magazine. 7(4). 92–99.
3.
Abdellatif, Alaa Awad, Khaled Shaban, & Ahmed Massoud. (2024). Blockchain-enabled distributed learning for enhanced smart grid security and efficiency. Computers & Electrical Engineering. 123. 110012–110012. 7 indexed citations
4.
Abdellatif, Alaa Awad, Khaled Shaban, & Ahmed Massoud. (2024). ONDS: Optimum Node and Data Selection From Constrained IoT for Efficient Online Learning. IEEE Transactions on Network Science and Engineering. 12(1). 44–53.
5.
Shaban, Khaled, et al.. (2024). Navigating Privacy Challenges in the Metaverse: A Comprehensive Examination of Current Technologies and Platforms. IEEE Internet of Things Magazine. 7(4). 144–152. 7 indexed citations
6.
Shaban, Khaled, et al.. (2023). Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes. Sensors. 23(16). 7216–7216. 1 indexed citations
7.
Abdellatif, Alaa Awad, et al.. (2023). Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems. 55. 1622–1627. 2 indexed citations
8.
Hamdi, Ali, et al.. (2022). Spatiotemporal data mining: a survey on challenges and open problems. RMIT Research Repository (RMIT University Library). 77 indexed citations
9.
Shaaban, Khaled, Ali Hamdi, Mohammad Ghanim, & Khaled Shaban. (2022). Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections. International Journal of Transportation Science and Technology. 12(1). 245–257. 10 indexed citations
10.
Shaban, Khaled, et al.. (2022). DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives. IEEE Transactions on Smart Grid. 14(1). 239–250. 61 indexed citations
11.
Shaban, Khaled, et al.. (2022). Demand Response in HEMSs Using DRL and the Impact of Its Various Configurations and Environmental Changes. Energies. 15(21). 8235–8235. 4 indexed citations
13.
Badaro, Gilbert, Ramy Baly, Hazem Hajj, et al.. (2019). A Survey of Opinion Mining in Arabic. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(3). 1–52. 59 indexed citations
14.
Khalifa, Tarek, et al.. (2017). Modelling and performance analysis of TCP variants for data collection in smart power grids. Computer Communications. 103. 39–48. 3 indexed citations
15.
Khalifa, Tarek, et al.. (2016). Surviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration. IEEE Transactions on Network and Service Management. 13(4). 899–912. 9 indexed citations
16.
Hussein, Ramy, Khaled Shaban, & Ayman El‐Hag. (2016). Energy conservation‐based thresholding for effective wavelet denoising of partial discharge signals. IET Science Measurement & Technology. 10(7). 813–822. 32 indexed citations
17.
Ahmed, Mohamed Hassan, et al.. (2015). Distribution system restoration based on cooperative multi-agent approach. Qatar University QSpace (Qatar University). 42–46. 5 indexed citations
18.
Ghunem, Refat Atef, Khaled Shaban, Ayman El‐Hag, & Khaled Assaleh. (2012). Towards cost-effective maintenance of power transformer by accurately predicting its insulation condition. Qatar University QSpace (Qatar University). 111–116. 1 indexed citations
19.
Singh, Ajay, et al.. (2010). A proposed 10-T full adder cell for low power consumption. International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 389–391. 4 indexed citations
20.
Shaban, Khaled, Otman Basir, & Mohamed S. Kamel. (2004). Team consensus in web multi-agents information retrieval system. World Automation Congress. 17. 68–73. 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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