Alhuseen Omar Alsayed

1.7k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Alhuseen Omar Alsayed is a scholar working on Education, Computer Science Applications and General Health Professions. According to data from OpenAlex, Alhuseen Omar Alsayed has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 4 papers in Computer Science Applications and 3 papers in General Health Professions. Recurrent topics in Alhuseen Omar Alsayed's work include Online and Blended Learning (5 papers), Online Learning and Analytics (4 papers) and Diabetes Management and Education (3 papers). Alhuseen Omar Alsayed is often cited by papers focused on Online and Blended Learning (5 papers), Online Learning and Analytics (4 papers) and Diabetes Management and Education (3 papers). Alhuseen Omar Alsayed collaborates with scholars based in Saudi Arabia, Malaysia and India. Alhuseen Omar Alsayed's co-authors include Edeh Michael Onyema, Shuvro Sen, Faith Ayobamidele Obafemi, Aabha Sharma, Quadri Noorulhasan Naveed, M.N. Qureshi, Sumaya Sanober, Asadullah Shaikh, Asadullah Shah and Omar Almomani and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Alhuseen Omar Alsayed

22 papers receiving 1.0k citations

Hit Papers

Impact of Coronavirus Pandemic on Education 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alhuseen Omar Alsayed Saudi Arabia 13 490 301 162 149 124 23 1.1k
Tushar Gupta India 10 919 1.9× 512 1.7× 320 2.0× 95 0.6× 182 1.5× 28 1.6k
Li Zhao China 19 322 0.7× 195 0.6× 93 0.6× 71 0.5× 192 1.5× 90 1.0k
Rasheed Abubakar Rasheed Malaysia 9 658 1.3× 289 1.0× 94 0.6× 77 0.5× 250 2.0× 13 1.0k
Edeh Michael Onyema Nigeria 18 407 0.8× 263 0.9× 167 1.0× 227 1.5× 88 0.7× 51 1.3k
Yu-Sheng Su Taiwan 20 390 0.8× 252 0.8× 105 0.6× 136 0.9× 305 2.5× 65 1.0k
Lijuan Peng China 11 234 0.5× 165 0.5× 121 0.7× 95 0.6× 107 0.9× 21 796
Jian‐Hong Ye China 19 294 0.6× 165 0.5× 202 1.2× 59 0.4× 65 0.5× 89 1.1k
Armando De Giusti Argentina 8 315 0.6× 266 0.9× 177 1.1× 115 0.8× 77 0.6× 48 892
Prathamesh Churi India 18 212 0.4× 272 0.9× 37 0.2× 227 1.5× 126 1.0× 72 1.0k
Anuradha Mathrani New Zealand 17 219 0.4× 201 0.7× 34 0.2× 154 1.0× 358 2.9× 73 908

Countries citing papers authored by Alhuseen Omar Alsayed

Since Specialization
Citations

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

Fields of papers citing papers by Alhuseen Omar Alsayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alhuseen Omar Alsayed. 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 Alhuseen Omar Alsayed. The network helps show where Alhuseen Omar Alsayed may publish in the future.

Co-authorship network of co-authors of Alhuseen Omar Alsayed

This figure shows the co-authorship network connecting the top 25 collaborators of Alhuseen Omar Alsayed. A scholar is included among the top collaborators of Alhuseen Omar Alsayed 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 Alhuseen Omar Alsayed. Alhuseen Omar Alsayed 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.
Alsayed, Alhuseen Omar, et al.. (2025). Leveraging a hybrid convolutional gated recursive diabetes prediction and severity grading model through a mobile app. PeerJ Computer Science. 11. e2642–e2642. 2 indexed citations
2.
3.
Ismail, Nor Azman, et al.. (2024). CAMIR: fine-tuning CLIP and multi-head cross-attention mechanism for multimodal image retrieval with sketch and text features. International Journal of Multimedia Information Retrieval. 14(1).
4.
Alsayed, Alhuseen Omar, et al.. (2024). Super learner model for classifying leukemia through gene expression monitoring. Discover Oncology. 15(1). 499–499. 5 indexed citations
5.
Alsayed, Alhuseen Omar, et al.. (2023). A Comprehensive Review of Modern Methods to Improve Diabetes Self-Care Management Systems. International Journal of Advanced Computer Science and Applications. 14(9). 3 indexed citations
6.
Alsayed, Alhuseen Omar, et al.. (2023). A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal. 79. 274–295. 7 indexed citations
7.
Alsayed, Alhuseen Omar, et al.. (2021). Selection of the Right Undergraduate Major by Students Using Supervised Learning Techniques. Applied Sciences. 11(22). 10639–10639. 23 indexed citations
8.
Al-Rahmi, Waleed Mugahed, Noraffandy Yahaya, Uthman Alturki, et al.. (2020). Social media – based collaborative learning: the effect on learning success with the moderating role of cyberstalking and cyberbullying. Interactive Learning Environments. 30(8). 1434–1447. 83 indexed citations
9.
Hassan, Asif, et al.. (2020). An Ensemble-Learning Based Application to Predict the Earlier Stages of Alzheimer’s Disease (AD). IEEE Access. 8. 222126–222143. 20 indexed citations
10.
He, Ying, et al.. (2020). A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition. IEEE Access. 8. 95197–95207. 20 indexed citations
11.
Alfakeeh, Ahmed S., Riaz Hussain, Muhammad Awais Javed, et al.. (2020). Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks. Sensors. 20(7). 1872–1872. 15 indexed citations
12.
Onyema, Edeh Michael, et al.. (2020). Impact of Coronavirus Pandemic on Education. Journals & Books Hosting (International Knowledge Sharing Platform). 93 indexed citations
13.
Adil, Muhammad, Mohammed Amin Almaiah, Alhuseen Omar Alsayed, & Omar Almomani. (2020). An Anonymous Channel Categorization Scheme of Edge Nodes to Detect Jamming Attacks in Wireless Sensor Networks. Sensors. 20(8). 2311–2311. 57 indexed citations
14.
Sharif, Mhd Saeed, et al.. (2020). A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry. 12(5). 866–866. 5 indexed citations
15.
Naveed, Quadri Noorulhasan, M.N. Qureshi, Nasser Tairan, et al.. (2020). Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making. PLoS ONE. 15(5). e0231465–e0231465. 110 indexed citations
16.
Khan, Rafiullah, Arshad Ahmad, Alhuseen Omar Alsayed, et al.. (2020). QuPiD Attack: Machine Learning-Based Privacy Quantification Mechanism for PIR Protocols in Health-Related Web Search. Scientific Programming. 2020. 1–11. 11 indexed citations
17.
Naveed, Quadri Noorulhasan, Naim Ahmad, Shamimul Qamar, et al.. (2019). Relationship modeling for OSN-based E-Learning Deployment. 1–7. 3 indexed citations
18.
Onyema, Edeh Michael, et al.. (2019). Online Discussion Forum as a Tool for Interactive Learning and Communication. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 4852–4868. 55 indexed citations
19.
Naveed, Quadri Noorulhasan, M.N. Qureshi, Asadullah Shaikh, et al.. (2019). Evaluating and Ranking Cloud-Based E-Learning Critical Success Factors (CSFs) Using Combinatorial Approach. IEEE Access. 7. 157145–157157. 61 indexed citations
20.
Naveed, Quadri Noorulhasan, M.N. Qureshi, Alhuseen Omar Alsayed, et al.. (2017). Prioritizing barriers of E-Learning for effective teaching-learning using fuzzy analytic hierarchy process (FAHP). 1–8. 43 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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