Hadil Shaiba

758 total citations
38 papers, 438 citations indexed

About

Hadil Shaiba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hadil Shaiba has authored 38 papers receiving a total of 438 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 Computer Networks and Communications. Recurrent topics in Hadil Shaiba's work include IoT and Edge/Fog Computing (4 papers), COVID-19 diagnosis using AI (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Hadil Shaiba is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), COVID-19 diagnosis using AI (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Hadil Shaiba collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Hadil Shaiba's co-authors include Maya John, Rabha W. Ibrahim, Souham Meshoul, Hamid A. Jalab, Ala’a R. Al-Shamasneh, Ali M. Hasan, Marija Bezbradica, Mashael Khayyat, Ammar Muthanna and Mohammad Hammoudeh and has published in prestigious journals such as IEEE Access, Sensors and Heliyon.

In The Last Decade

Hadil Shaiba

31 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hadil Shaiba Saudi Arabia	11	167	121	64	60	49	38	438
A.M. Aleesa Malaysia	7	178 1.1×	150 1.2×	92 1.4×	50 0.8×	29 0.6×	11	450
Md. Sarwar Kamal Bangladesh	14	195 1.2×	69 0.6×	41 0.6×	51 0.8×	46 0.9×	51	633
Shiva Toumaj Iran	7	193 1.2×	149 1.2×	84 1.3×	83 1.4×	43 0.9×	11	511
Omar Darwish United States	12	254 1.5×	70 0.6×	119 1.9×	69 1.1×	56 1.1×	50	520
Mehmet Akif Çifçi Türkiye	11	220 1.3×	93 0.8×	24 0.4×	35 0.6×	40 0.8×	31	531
Muhammad Assam Pakistan	11	134 0.8×	69 0.6×	50 0.8×	55 0.9×	112 2.3×	35	401
Gitanjali R. Shinde India	8	138 0.8×	92 0.8×	102 1.6×	64 1.1×	23 0.5×	51	383
H. Swapnarekha India	7	159 1.0×	137 1.1×	29 0.5×	15 0.3×	39 0.8×	19	410
Nripendra Narayan Das India	6	237 1.4×	272 2.2×	25 0.4×	45 0.8×	80 1.6×	25	494
Harshvardhan GM India	11	162 1.0×	46 0.4×	27 0.4×	39 0.7×	96 2.0×	20	488

Countries citing papers authored by Hadil Shaiba

Since Specialization

Citations

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

Fields of papers citing papers by Hadil Shaiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hadil Shaiba

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

Meshoul, Souham, et al.. (2025). A Novel Approach to Enhanced Cancelable Multi-Biometrics Personal Identification Based on Incremental Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 1727–1752.

Shaiba, Hadil, et al.. (2025). Designing AI-powered translation education tools: a framework for parallel sentence generation using SauLTC and LLMs. PeerJ Computer Science. 11. e2788–e2788. 2 indexed citations

Joshua, Eali Stephen Neal, et al.. (2024). Hybrid healthcare unit recommendation system using computational techniques with lung cancer segmentation. Frontiers in Medicine. 11. 1429291–1429291. 3 indexed citations

Hammad, Mohamed, Mudasir Ahmad Wani, Kashish Ara Shakil, Hadil Shaiba, & Ahmed A. Abd El‐Latif. (2024). Deep Cancelable Multibiometric Finger Vein and Fingerprint Authentication With Non-Negative Matrix Factorization. IEEE Access. 12. 120638–120660. 10 indexed citations

John, Maya & Hadil Shaiba. (2024). Identification of self-care problem in children using machine learning. Heliyon. 10(5). e26977–e26977.

Meshoul, Souham, et al.. (2024). Real-Time Implementation of Quadrotor UAV Control System Based on a Deep Reinforcement Learning Approach. Computers, materials & continua/Computers, materials & continua (Print). 81(3). 4757–4786.

Shaiba, Hadil, Maya John, & Souham Meshoul. (2024). Evaluating the Pandemic's Effect on Clinical Skill Development Among Dental Students. 4(1). 30–37. 1 indexed citations

Mohamed, Azlinah, Zuhaira Muhammad Zain, Hadil Shaiba, et al.. (2023). LexDeep: Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1577–1601. 6 indexed citations

Karamti, Hanen, Raed Alharthi, Muhammad Umer, et al.. (2023). Breast cancer detection employing stacked ensemble model with convolutional features. Cancer Biomarkers. 40(2). 155–170. 4 indexed citations

10.

Shaiba, Hadil, Ayman Yafoz, Raed Alsini, et al.. (2022). Feature Subset Selection Hybrid Deep Belief Network Based Cybersecurity Intrusion Detection Model. Electronics. 11(19). 3077–3077. 3 indexed citations

11.

Shaiba, Hadil, Maya John, & Souham Meshoul. (2022). Female Saudi College students' e-learning experience amidst COVID-19 pandemic: An investigation and analysis. Heliyon. 9(1). e12768–e12768. 3 indexed citations

12.

Shaiba, Hadil, et al.. (2021). Student Perspective-Based Evaluation of Online Transition During the COVID-19 Outbreak. International Journal of Web-Based Learning and Teaching Technologies. 16(5). 21–38. 4 indexed citations

13.

Elgendy, Ibrahim A., Ammar Muthanna, Mohammad Hammoudeh, et al.. (2021). Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing. Big Data. 9(4). 265–278. 33 indexed citations

14.

Hasan, Ali M., et al.. (2020). Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features. Entropy. 22(5). 517–517. 106 indexed citations

15.

Karamti, Hanen, Hadil Shaiba, & Abeer M. Mahmoud. (2020). Hybrid Shallow Learning and Deep Learning for Feature Extraction and Image Retrieval. 165–172. 1 indexed citations

16.

Khan, Prince Waqas, Khizar Abbas, Hadil Shaiba, et al.. (2020). Energy Efficient Computation Offloading Mechanism in Multi-Server Mobile Edge Computing—An Integer Linear Optimization Approach. Electronics. 9(6). 1010–1010. 36 indexed citations

17.

John, Maya & Hadil Shaiba. (2019). Main factors influencing recovery in MERS Co-V patients using machine learning. Journal of Infection and Public Health. 12(5). 700–704. 12 indexed citations

18.

Shaiba, Hadil, et al.. (2018). An Effective Perspective towards Riyadh Smart City. 1–5. 2 indexed citations

19.

Shaiba, Hadil, et al.. (2018). Applying Machine Learning Methods for Predicting Sand Storms. 6 4. 1–5. 5 indexed citations

20.

Shaiba, Hadil & Michael Hahsler. (2016). Applying Machine Learning Methods for Predicting Tropical Cyclone Rapid Intensification Events. Research Journal of Applied Sciences Engineering and Technology. 13(8). 638–651. 5 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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