Ali M. Hasan

754 total citations
33 papers, 515 citations indexed

About

Ali M. Hasan is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Ali M. Hasan has authored 33 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Neurology and 11 papers in Artificial Intelligence. Recurrent topics in Ali M. Hasan's work include Brain Tumor Detection and Classification (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Image Segmentation Techniques (9 papers). Ali M. Hasan is often cited by papers focused on Brain Tumor Detection and Classification (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Image Segmentation Techniques (9 papers). Ali M. Hasan collaborates with scholars based in Iraq, Malaysia and United Kingdom. Ali M. Hasan's co-authors include Hamid A. Jalab, Farid Meziane, Rabha W. Ibrahim, Ala’a R. Al-Shamasneh, Hadil Shaiba, Rob Aspin, Ahmad Al‐Ahmad, Hasan Kahtan, Suzan J. Obaiys and Faten Khalid Karim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ali M. Hasan

28 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali M. Hasan Iraq 11 256 204 193 183 34 33 515
Cheng Bian China 12 228 0.9× 225 1.1× 42 0.2× 224 1.2× 60 1.8× 21 487
Emrah Irmak Türkiye 9 251 1.0× 196 1.0× 256 1.3× 186 1.0× 41 1.2× 14 475
Dina A. Ragab Egypt 8 135 0.5× 423 2.1× 140 0.7× 502 2.7× 42 1.2× 9 648
Mingquan Lin United States 11 102 0.4× 163 0.8× 35 0.2× 117 0.6× 32 0.9× 48 397
Adeel Abbasi Pakistan 8 105 0.4× 166 0.8× 51 0.3× 211 1.2× 64 1.9× 16 395
Sakshi Ahuja India 7 114 0.4× 331 1.6× 94 0.5× 251 1.4× 22 0.6× 10 450
Mustafa Elattar Egypt 10 118 0.5× 148 0.7× 34 0.2× 117 0.6× 56 1.6× 34 449
Yonghong Shi China 12 211 0.8× 431 2.1× 38 0.2× 167 0.9× 90 2.6× 32 661
Ruobing Huang China 10 88 0.3× 162 0.8× 33 0.2× 167 0.9× 33 1.0× 29 316
Shafiullah Soomro South Korea 12 348 1.4× 268 1.3× 158 0.8× 124 0.7× 45 1.3× 22 556

Countries citing papers authored by Ali M. Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Ali M. Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali M. Hasan. 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 Ali M. Hasan. The network helps show where Ali M. Hasan may publish in the future.

Co-authorship network of co-authors of Ali M. Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Ali M. Hasan. A scholar is included among the top collaborators of Ali M. Hasan 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 Ali M. Hasan. Ali M. Hasan 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.
Hasan, Ali M., et al.. (2025). An Artificial Intelligence Techniques in Lung Cancer 18F- Fluorodeoxyglucose Radiotracer PET/CT Imaging. Procedia Computer Science. 259. 202–208.
2.
Hasan, Ali M., et al.. (2025). Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features. Biomedical Signal Processing and Control. 104. 107546–107546. 1 indexed citations
3.
Hasan, Ali M., et al.. (2025). Classification of oral cavity cancer using linear discriminant analysis (LDA) and principal component analysis (PCA). AIP conference proceedings. 3255. 30008–30008. 1 indexed citations
4.
5.
Hasan, Ali M., et al.. (2023). A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina’s polynomial based fusion. Biomedical Signal Processing and Control. 84. 105002–105002. 7 indexed citations
6.
Hasan, Ali M., et al.. (2023). Molecular subtypes classification of breast cancer in DCE-MRI using deep features. Expert Systems with Applications. 236. 121371–121371. 8 indexed citations
7.
Hasan, Ali M., et al.. (2023). Diagnosis of breast cancer based on hybrid features extraction in dynamic contrast enhanced magnetic resonance imaging. Neural Computing and Applications. 35(31). 23199–23212. 2 indexed citations
8.
Hasan, Ali M., et al.. (2023). MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM. International Journal of Online and Biomedical Engineering (iJOE). 19(2). 134–149. 3 indexed citations
9.
Hasan, Ali M., Hamid A. Jalab, Rabha W. Ibrahim, et al.. (2020). MRI Brain Classification Using the Quantum Entropy LBP and Deep-Learning-Based Features. Entropy. 22(9). 1033–1033. 18 indexed citations
10.
11.
Hasan, Ali M., et al.. (2020). Impact of the Use of the Beanie on the Neurodevelopmental Outcomes of Preterm Infants With Plagiocephaly: A Pilot Study. Cureus. 12(6). e8716–e8716. 1 indexed citations
12.
Howard, Ashley, et al.. (2019). Pediatric Myocarditis Protocol: An Algorithm for Early Identification and Management with Retrospective Analysis for Validation. Pediatric Cardiology. 41(2). 316–326. 14 indexed citations
13.
Hasan, Ali M., Hamid A. Jalab, Farid Meziane, Hasan Kahtan, & Ahmad Al‐Ahmad. (2019). Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification. IEEE Access. 7. 79959–79967. 84 indexed citations
14.
15.
Jalab, Hamid A. & Ali M. Hasan. (2019). Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review. Archives of Neuroscience. 6(Brain Mapping). 17 indexed citations
16.
Ibrahim, Rabha W., Ali M. Hasan, & Hamid A. Jalab. (2018). A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans. Computer Methods and Programs in Biomedicine. 163. 21–28. 35 indexed citations
17.
Hasan, Ali M.. (2018). A Hybrid Approach of Using Particle Swarm Optimization and Volumetric Active Contour without Edge for Segmenting Brain Tumors in MRI Scan. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 6(3). 8 indexed citations
18.
Hasan, Ali M., Farid Meziane, Rob Aspin, & Hamid A. Jalab. (2017). MRI brain scan classification using novel 3-D statistical features. 1–5. 8 indexed citations
19.
Hasan, Ali M. & Farid Meziane. (2016). Automated screening of MRI brain scanning using grey level statistics. Computers & Electrical Engineering. 53. 276–291. 32 indexed citations
20.
Vitale, Nicola, et al.. (1999). Early results with the Carbo-seal composite valve conduit for aortic root replacement.. PubMed. 8(1). 80–4. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Cheng Bian Breakdown of academic impact, for papers by Emrah Irmak Breakdown of academic impact, for papers by Dina A. Ragab Breakdown of academic impact, for papers by Mingquan Lin Breakdown of academic impact, for papers by Adeel Abbasi Breakdown of academic impact, for papers by Sakshi Ahuja Breakdown of academic impact, for papers by Mustafa Elattar Breakdown of academic impact, for papers by Yonghong Shi Breakdown of academic impact, for papers by Ruobing Huang Breakdown of academic impact, for papers by Shafiullah Soomro
Rankless by CCL
2026