Ali Mohammad Alqudah

1.8k total citations
64 papers, 1.2k citations indexed

About

Ali Mohammad Alqudah is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ali Mohammad Alqudah has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Ali Mohammad Alqudah's work include AI in cancer detection (14 papers), Digital Imaging for Blood Diseases (12 papers) and Phonocardiography and Auscultation Techniques (10 papers). Ali Mohammad Alqudah is often cited by papers focused on AI in cancer detection (14 papers), Digital Imaging for Blood Diseases (12 papers) and Phonocardiography and Auscultation Techniques (10 papers). Ali Mohammad Alqudah collaborates with scholars based in Jordan, Malaysia and Canada. Ali Mohammad Alqudah's co-authors include Isam Abu‐Qasmieh, Hiam Alquran, Amin Alqudah, Yazan Al-Issa, Yusra Obeidat, Wan Azani Mustafa, Zahra Moussavi, Nor Hazlyna Harun, Hussein Al-Zoubi and Mahmood Al-khassaweneh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Ali Mohammad Alqudah

60 papers receiving 1.1k 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 Mohammad Alqudah Jordan 21 418 415 242 231 227 64 1.2k
Hiam Alquran Jordan 15 358 0.9× 257 0.6× 105 0.4× 113 0.5× 127 0.6× 71 816
Isam Abu‐Qasmieh Jordan 13 226 0.5× 178 0.4× 77 0.3× 101 0.4× 103 0.5× 39 604
Bülent Yılmaz Türkiye 15 139 0.3× 227 0.5× 74 0.3× 66 0.3× 131 0.6× 71 804
Marcos Salganicoff United States 22 331 0.8× 577 1.4× 247 1.0× 426 1.8× 17 0.1× 56 1.2k
Quang H. Nguyen Vietnam 25 248 0.6× 636 1.5× 157 0.6× 31 0.1× 65 0.3× 93 1.8k
Marwa Obayya Saudi Arabia 15 283 0.7× 191 0.5× 172 0.7× 44 0.2× 36 0.2× 78 725
Fatma Taher United Arab Emirates 21 464 1.1× 483 1.2× 297 1.2× 265 1.1× 50 0.2× 110 1.3k
Muhammad Nazir Pakistan 21 369 0.9× 212 0.5× 452 1.9× 62 0.3× 33 0.1× 53 1.0k
Hossam Magdy Balaha Egypt 23 503 1.2× 420 1.0× 461 1.9× 81 0.4× 19 0.1× 70 1.2k

Countries citing papers authored by Ali Mohammad Alqudah

Since Specialization
Citations

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

Fields of papers citing papers by Ali Mohammad Alqudah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Mohammad Alqudah

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Mohammad Alqudah. A scholar is included among the top collaborators of Ali Mohammad Alqudah 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 Mohammad Alqudah. Ali Mohammad Alqudah 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.
Alqudah, Ali Mohammad & Zahra Moussavi. (2025). A Review of Deep Learning for Biomedical Signals: Current Applications, Advancements, Future Prospects, Interpretation, and Challenges. Computers, materials & continua/Computers, materials & continua (Print). 83(3). 3753–3841. 5 indexed citations
2.
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Alqudah, Ali Mohammad & Zahra Moussavi. (2025). Assessing Obstructive Sleep Apnea Severity During Wakefulness via Tracheal Breathing Sound Analysis. Sensors. 25(20). 6280–6280. 1 indexed citations
4.
Alqudah, Ali Mohammad, et al.. (2025). Developing an Empirical Acoustic Transfer Function Model for the Upper Airway. Annals of Biomedical Engineering. 54(1). 248–261.
5.
Alqudah, Ali Mohammad, et al.. (2024). Obstructive sleep apnea detection during wakefulness: a comprehensive methodological review. Medical & Biological Engineering & Computing. 62(5). 1277–1311. 4 indexed citations
6.
Alqudah, Ali Mohammad, et al.. (2024). Volumetric Alterations in Brain Structures Caused by Autism during Different Age Stages. Journal of biomimetics, biomaterials and biomedical engineering. 64. 95–104. 1 indexed citations
7.
Alqudah, Ali Mohammad, et al.. (2024). Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques. Journal of Electrical and Computer Engineering. 2024(1). 1 indexed citations
8.
Alquran, Hiam, et al.. (2023). Advanced Time-Frequency Methods for ECG Waves Recognition. Diagnostics. 13(2). 308–308. 11 indexed citations
9.
Abu‐Qasmieh, Isam, et al.. (2023). CT-based generation of synthetic-pseudo MR images with different weightings for human knee. Computers in Biology and Medicine. 169. 107842–107842. 1 indexed citations
10.
Mustafa, Wan Azani, et al.. (2023). A review of detection and classification cervical cell images. AIP conference proceedings. 2848. 20061–20061. 1 indexed citations
11.
Obeidat, Yusra & Ali Mohammad Alqudah. (2023). An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring. Applied Sciences. 13(14). 8273–8273. 9 indexed citations
12.
Al-Issa, Yazan & Ali Mohammad Alqudah. (2022). A lightweight hybrid deep learning system for cardiac valvular disease classification. Scientific Reports. 12(1). 14297–14297. 49 indexed citations
13.
Alqudah, Ali Mohammad, et al.. (2021). Performance Evaluation of Different Machine Learning Classification Algorithms for Disease Diagnosis. International Journal of E-Health and Medical Communications. 12(6). 1–28. 14 indexed citations
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Alqudah, Ali Mohammad, et al.. (2020). Detecting Cognitive Features of Videos Using EEG Signal. The Computer Journal. 65(1). 105–123. 4 indexed citations
16.
Alqudah, Amin & Ali Mohammad Alqudah. (2019). Sliding Window Based Support Vector Machine System for Classification of Breast Cancer Using Histopathological Microscopic Images. IETE Journal of Research. 68(1). 59–67. 46 indexed citations
17.
Alqudah, Ali Mohammad. (2019). AOCT-NET: a convolutional network automated classification of multiclass retinal diseases using spectral-domain optical coherence tomography images. Medical & Biological Engineering & Computing. 58(1). 41–53. 121 indexed citations
18.
Alquran, Hiam, et al.. (2019). Gaussian Model of Electrooculogram Signals. 214. 293–296. 3 indexed citations
19.
Alqudah, Ali Mohammad, et al.. (2019). Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features. Australasian Physical & Engineering Sciences in Medicine. 42(1). 149–157. 35 indexed citations
20.
Alquran, Hiam, et al.. (2017). The melanoma skin cancer detection and classification using support vector machine. 1–5. 124 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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