Yousef Alhwaiti

760 total citations
22 papers, 385 citations indexed

About

Yousef Alhwaiti is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Yousef Alhwaiti has authored 22 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Networks and Communications. Recurrent topics in Yousef Alhwaiti's work include Brain Tumor Detection and Classification (3 papers), Context-Aware Activity Recognition Systems (3 papers) and COVID-19 diagnosis using AI (3 papers). Yousef Alhwaiti is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), Context-Aware Activity Recognition Systems (3 papers) and COVID-19 diagnosis using AI (3 papers). Yousef Alhwaiti collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Yousef Alhwaiti's co-authors include Muhammad Hameed Siddiqi, Madallah Alruwaili, Saad Alanazi, M. M. Kamruzzaman, Nasser Alshammari, Munir Ahmad, Nouh Sabri Elmitwally, Sagheer Abbas, Md Nazirul Islam Sarker and Muhammad Adnan Khan and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and IEEE Access.

In The Last Decade

Yousef Alhwaiti

20 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yousef Alhwaiti Saudi Arabia 10 141 100 87 68 38 22 385
Muhammad Assam Pakistan 11 134 1.0× 112 1.1× 69 0.8× 50 0.7× 42 1.1× 35 401
Summrina Kanwal Saudi Arabia 11 185 1.3× 67 0.7× 61 0.7× 46 0.7× 29 0.8× 22 371
Nadhem Nemri Saudi Arabia 12 168 1.2× 79 0.8× 54 0.6× 105 1.5× 63 1.7× 50 431
Saeed Iqbal Pakistan 12 167 1.2× 94 0.9× 130 1.5× 52 0.8× 43 1.1× 42 425
Hemanta Kumar Bhuyan India 11 155 1.1× 117 1.2× 62 0.7× 62 0.9× 32 0.8× 35 367
C. Karthikeyan India 9 135 1.0× 69 0.7× 73 0.8× 40 0.6× 70 1.8× 51 359
Yunlei Sun China 7 161 1.1× 56 0.6× 65 0.7× 60 0.9× 18 0.5× 15 384
Tapas Si India 12 238 1.7× 119 1.2× 73 0.8× 32 0.5× 62 1.6× 61 450
Labib M. Labib Egypt 8 219 1.6× 57 0.6× 57 0.7× 103 1.5× 32 0.8× 14 382

Countries citing papers authored by Yousef Alhwaiti

Since Specialization
Citations

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

Fields of papers citing papers by Yousef Alhwaiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yousef Alhwaiti

This figure shows the co-authorship network connecting the top 25 collaborators of Yousef Alhwaiti. A scholar is included among the top collaborators of Yousef Alhwaiti 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 Yousef Alhwaiti. Yousef Alhwaiti 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.
Alruwaili, Madallah, et al.. (2025). Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques. Complex & Intelligent Systems. 11(9).
2.
Alhwaiti, Yousef, Muhammad Jaleed Khan, Muhammad Asim, et al.. (2025). Leveraging YOLO deep learning models to enhance plant disease identification. Scientific Reports. 15(1). 7969–7969. 12 indexed citations
3.
Khan, Jawad, Asfandyar Khan, Madallah Alruwaili, et al.. (2025). A Hybrid Framework Combining Rule-Based and Deep Learning Approaches for Data-Driven Verdict Recommendations. Computers, materials & continua/Computers, materials & continua (Print). 83(3). 5345–5371. 1 indexed citations
4.
Alhwaiti, Yousef, Ibrahim Alrashdi, Irshad Ahmad, & Abdullah Khan. (2024). A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning. Computers in Human Behavior. 156. 108213–108213. 4 indexed citations
5.
Siddiqi, Muhammad Hameed, Irshad Ahmad, Yousef Alhwaiti, & Faheem Khan. (2024). Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest. IEEE Journal of Biomedical and Health Informatics. 29(1). 30–42. 1 indexed citations
6.
Alhwaiti, Yousef, Muhammad Hameed Siddiqi, & Irshad Ahmad. (2023). An Adaptive Edge Detection Algorithm for Weed Image Analysis. Computer Systems Science and Engineering. 47(3). 3011–3031. 1 indexed citations
7.
Siddiqi, Muhammad Hameed, et al.. (2023). Development of a Smart Signalization for Emergency Vehicles. Sensors. 23(10). 4703–4703. 6 indexed citations
8.
Alruwaili, Madallah, Muhammad Hameed Siddiqi, Abdullah Khan, et al.. (2023). Deep Learning-Based YOLO Models for the Detection of People With Disabilities. IEEE Access. 12. 2543–2566. 14 indexed citations
9.
Siddiqi, Muhammad Hameed, Amjad Ali, Madallah Alruwaili, et al.. (2022). A Template Matching Based Feature Extraction for Activity Recognition. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 611–634. 3 indexed citations
10.
Kamruzzaman, M. M., Saad Alanazi, Madallah Alruwaili, et al.. (2022). Fuzzy-assisted machine learning framework for the fog-computing system in remote healthcare monitoring. Measurement. 195. 111085–111085. 17 indexed citations
11.
Siddiqi, Muhammad Hameed, et al.. (2022). An Enhanced Machine Learning Approach for Brain MRI Classification. Diagnostics. 12(11). 2791–2791. 3 indexed citations
12.
Alanazi, Saad, M. M. Kamruzzaman, Md Nazirul Islam Sarker, et al.. (2021). Boosting Breast Cancer Detection Using Convolutional Neural Network. Journal of Healthcare Engineering. 2021. 1–11. 108 indexed citations
13.
Abbas, Sagheer, Yousef Alhwaiti, Areej Fatima, et al.. (2021). Convolutional Neural Network Based Intelligent Handwritten Document Recognition. Computers, materials & continua/Computers, materials & continua (Print). 70(3). 4563–4581. 59 indexed citations
14.
Siddiqi, Muhammad Hameed, Umar Draz, Amjad Ali, et al.. (2021). FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks. IET Communications. 16(10). 1209–1217. 16 indexed citations
15.
Abbas, Sagheer, Yousef Alhwaiti, Areej Fatima, et al.. (2021). Cluster-Based Stable BSM Dissemination System for Safe Autonomous Platooning. Computers, materials & continua/Computers, materials & continua (Print). 71(1). 321–338. 5 indexed citations
16.
Alhwaiti, Yousef, et al.. (2021). Diagnosis of COVID‐19 Using a Deep Learning Model in Various Radiology Domains. Complexity. 2021(1). 7 indexed citations
17.
Siddiqi, Muhammad Hameed, Amjad Ali, Madallah Alruwaili, et al.. (2021). A Unified Approach for Patient Activity Recognition in Healthcare Using Depth Camera. IEEE Access. 9. 92300–92317. 21 indexed citations
18.
Siddiqi, Muhammad Hameed, et al.. (2021). Segmentation and Classification of Heart Angiographic Images Using Machine Learning Techniques. Journal of Healthcare Engineering. 2021. 1–9. 2 indexed citations
19.
Alhwaiti, Yousef, et al.. (2021). Protein-Protein Interaction Analysis through Network Topology (Oral Cancer). Journal of Healthcare Engineering. 2021. 1–9. 21 indexed citations
20.

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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