Abdullah A. Asiri

632 total citations
33 papers, 340 citations indexed

About

Abdullah A. Asiri is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Abdullah A. Asiri has authored 33 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Abdullah A. Asiri's work include Brain Tumor Detection and Classification (18 papers), Advanced Neural Network Applications (16 papers) and Machine Learning and ELM (6 papers). Abdullah A. Asiri is often cited by papers focused on Brain Tumor Detection and Classification (18 papers), Advanced Neural Network Applications (16 papers) and Machine Learning and ELM (6 papers). Abdullah A. Asiri collaborates with scholars based in Saudi Arabia, Pakistan and Australia. Abdullah A. Asiri's co-authors include Muhammad Irfan, Tariq Ali, Ahmad Shaf, Saeed Alqahtani, Muhammad Aamir, Samar M. Alqhtani, Ali Alghamdi, Hassan A. Alshamrani, Ahmed Ali and Ganna Pogrebna and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Abdullah A. Asiri

28 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah A. Asiri Saudi Arabia 10 261 184 112 94 41 33 340
Faiza Akram Pakistan 5 351 1.3× 293 1.6× 129 1.2× 193 2.1× 39 1.0× 16 476
Geethu Mohan India 4 246 0.9× 219 1.2× 92 0.8× 119 1.3× 33 0.8× 8 327
Foad Kazemi Iran 3 399 1.5× 311 1.7× 109 1.0× 173 1.8× 27 0.7× 9 451
Nagaraj Yamanakkanavar South Korea 6 164 0.6× 147 0.8× 76 0.7× 103 1.1× 38 0.9× 10 323
Wadhah Ayadi Tunisia 6 349 1.3× 280 1.5× 81 0.7× 175 1.9× 28 0.7× 10 406
Mausumi Maitra India 6 161 0.6× 214 1.2× 53 0.5× 85 0.9× 34 0.8× 8 312
Hossam H. Sultan United Kingdom 3 440 1.7× 340 1.8× 119 1.1× 208 2.2× 32 0.8× 6 500
Andrés Anaya-Isaza Colombia 7 102 0.4× 77 0.4× 102 0.9× 82 0.9× 34 0.8× 9 256
Hassan Ali Khan China 4 206 0.8× 169 0.9× 74 0.7× 130 1.4× 25 0.6× 14 303
Rachida Saouli Algeria 5 235 0.9× 232 1.3× 107 1.0× 85 0.9× 38 0.9× 13 343

Countries citing papers authored by Abdullah A. Asiri

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah A. Asiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdullah A. Asiri. 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 Abdullah A. Asiri. The network helps show where Abdullah A. Asiri may publish in the future.

Co-authorship network of co-authors of Abdullah A. Asiri

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah A. Asiri. A scholar is included among the top collaborators of Abdullah A. Asiri 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 Abdullah A. Asiri. Abdullah A. Asiri 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.
Asiri, Abdullah A., Toufique Ahmed Soomro, Ahmed Ali, et al.. (2025). Advanced Computational Modeling for Brain Tumor Detection: Enhancing Segmentation Accuracy Using ICA-I and ICA-II Techniques. Computer Modeling in Engineering & Sciences. 143(1). 255–287. 1 indexed citations
2.
Alshehri, Mohammed, et al.. (2025). Evaluating poor sleep quality and its risk factors in non-dialysis chronic kidney disease patients from Saudi Arabia. Medicine. 104(28). e43206–e43206. 1 indexed citations
3.
Alqhtani, Samar M., et al.. (2024). Contrast Normalization Strategies in Brain Tumor Imaging: From Preprocessing to Classification. Computer Modeling in Engineering & Sciences. 140(2). 1539–1562. 2 indexed citations
4.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2024). Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability. PeerJ Computer Science. 10. e1878–e1878. 18 indexed citations
5.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2024). Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis. PeerJ Computer Science. 10. e1867–e1867. 11 indexed citations
6.
Asiri, Abdullah A., Toufique Ahmed Soomro, Ahmed Ali, et al.. (2024). Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification. IEEE Access. 12. 42868–42887. 45 indexed citations
7.
8.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2023). Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans. Diagnostics. 13(12). 2094–2094. 38 indexed citations
9.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2023). Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications. Life. 13(7). 1449–1449. 50 indexed citations
10.
Ali, Usman, Javed Ferzund, Ahmad Shaf, et al.. (2023). Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples. Computer Systems Science and Engineering. 46(2). 1355–1369. 1 indexed citations
11.
Asiri, Abdullah A., Muhammad Aamir, Tariq Ali, et al.. (2023). Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks. PeerJ Computer Science. 9. e1667–e1667. 5 indexed citations
12.
Asiri, Abdullah A., Ahmad Shaf, Tariq Ali, et al.. (2022). Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images. Intelligent Automation & Soft Computing. 36(1). 127–143. 28 indexed citations
13.
Khan, Bilal, et al.. (2022). Investigating of Classification Algorithms for Heart Disease Risk Prediction. 1(1). 11–31. 7 indexed citations
14.
Asiri, Abdullah A., Tariq Ali, Ahmad Shaf, et al.. (2022). A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 3983–4002. 9 indexed citations
15.
Asiri, Abdullah A., Javed Ferzund, Tariq Ali, et al.. (2022). A Novel Hybrid Machine Learning Approach for Classification of Brain Tumor Images. Computers, materials & continua/Computers, materials & continua (Print). 73(1). 641–655. 6 indexed citations
16.
Khan, Bilal, Abdullah A. Asiri, Fazal Muhammad, et al.. (2022). Heart Disease Risk Prediction Expending of Classification Algorithms. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 6595–6616. 2 indexed citations
17.
Asiri, Abdullah A., Akhtar Badshah, Fazal Muhammad, et al.. (2022). Human Emotions Classification Using EEG via Audiovisual Stimuli and AI. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 5075–5089. 4 indexed citations
18.
Asiri, Abdullah A., Bilal Khan, Fazal Muhammad, et al.. (2022). Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification. Intelligent Automation & Soft Computing. 36(1). 299–312. 17 indexed citations
19.
Asiri, Abdullah A.. (2022). Increasing awareness of radiation hazard and radiation protection among medical staff. SHILAP Revista de lepidopterología. 45. e59256–e59256. 1 indexed citations
20.
Asiri, Abdullah A., et al.. (2020). Comparison between 2D and 3D MEDIC for human cervical spinal cord MRI at 3T. Journal of Medical Radiation Sciences. 68(1). 4–12. 7 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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