Yasser M. Kadah

2.8k total citations
160 papers, 2.1k citations indexed

About

Yasser M. Kadah is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yasser M. Kadah has authored 160 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Computer Vision and Pattern Recognition and 28 papers in Molecular Biology. Recurrent topics in Yasser M. Kadah's work include Advanced MRI Techniques and Applications (35 papers), Ultrasound Imaging and Elastography (22 papers) and Medical Imaging Techniques and Applications (22 papers). Yasser M. Kadah is often cited by papers focused on Advanced MRI Techniques and Applications (35 papers), Ultrasound Imaging and Elastography (22 papers) and Medical Imaging Techniques and Applications (22 papers). Yasser M. Kadah collaborates with scholars based in Egypt, United States and Saudi Arabia. Yasser M. Kadah's co-authors include Abou‐Bakr M. Youssef, Khaled Z. Abd‐Elmoniem, Xiaoping Hu, Mohamed I. Owis, Manal Abdel Wahed, Ahmed Badawi, Jacek M. Żurada, Nahed H. Solouma, Mugahed A. Al–antari and Nagwan Abdel Samee and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Yasser M. Kadah

143 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasser M. Kadah Egypt 22 707 627 474 329 283 160 2.1k
Manuel G. Penedo Spain 23 1.0k 1.5× 594 0.9× 273 0.6× 182 0.6× 204 0.7× 121 1.9k
Jan Kybic Czechia 21 950 1.3× 966 1.5× 225 0.5× 320 1.0× 490 1.7× 107 2.3k
Carlos Alberola‐López Spain 26 818 1.2× 1.2k 2.0× 313 0.7× 137 0.4× 365 1.3× 169 2.6k
Marios S. Pattichis United States 28 969 1.4× 1.6k 2.6× 351 0.7× 167 0.5× 464 1.6× 239 3.4k
Abou‐Bakr M. Youssef Egypt 18 393 0.6× 529 0.8× 340 0.7× 145 0.4× 225 0.8× 93 1.7k
Ali Gholipour United States 31 1.6k 2.2× 986 1.6× 742 1.6× 307 0.9× 189 0.7× 136 3.8k
Murray H. Loew United States 26 811 1.1× 616 1.0× 458 1.0× 131 0.4× 323 1.1× 187 2.2k
Anke Meyer‐Baese United States 27 705 1.0× 268 0.4× 784 1.7× 438 1.3× 169 0.6× 193 2.3k
Gemma Piella Spain 25 576 0.8× 1.1k 1.7× 345 0.7× 109 0.3× 322 1.1× 122 2.7k
Zhifan Gao China 31 1.1k 1.5× 818 1.3× 414 0.9× 128 0.4× 630 2.2× 111 2.5k

Countries citing papers authored by Yasser M. Kadah

Since Specialization
Citations

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

Fields of papers citing papers by Yasser M. Kadah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasser M. Kadah

This figure shows the co-authorship network connecting the top 25 collaborators of Yasser M. Kadah. A scholar is included among the top collaborators of Yasser M. Kadah 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 Yasser M. Kadah. Yasser M. Kadah 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.
Samee, Nagwan Abdel, Mohammed A. Al‐masni, Mugahed A. Al–antari, et al.. (2025). New Gait Representation Maps for Enhanced Recognition in Clinical Gait Analysis. Bioengineering. 12(10). 1130–1130.
2.
Al‐masni, Mohammed A., Mugahed A. Al–antari, Maali Alabdulhafith, et al.. (2024). Gait Impairment Analysis Using Silhouette Sinogram Signals and Assisted Knowledge Learning. Bioengineering. 11(5). 477–477. 1 indexed citations
3.
Kadah, Yasser M., et al.. (2024). Intelligent standalone eye blinking monitoring system for computer users. Journal of Eye Movement Research. 17(5). 1 indexed citations
4.
Samee, Nagwan Abdel, Amel Ali Alhussan, Ghada Atteia, et al.. (2022). A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms. Sensors. 22(13). 4938–4938. 41 indexed citations
5.
Samee, Nagwan Abdel, Ghada Atteia, Souham Meshoul, Mugahed A. Al–antari, & Yasser M. Kadah. (2022). Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach. Mathematics. 10(19). 3631–3631. 35 indexed citations
6.
Alhussan, Amel Ali, et al.. (2021). Evaluating Deep and Statistical Machine Learning Models in the Classification of Breast Cancer from Digital Mammograms. International Journal of Advanced Computer Science and Applications. 12(10). 9 indexed citations
7.
Yassine, Inas A., et al.. (2020). Alzheimer’s disease diagnosis from diffusion tensor images using convolutional neural networks. PLoS ONE. 15(3). e0230409–e0230409. 60 indexed citations
8.
Alhaddad, Mohammed J., et al.. (2014). Spectral subtraction denoising preprocessing block to improve P300-based brain-computer interfacing. BioMedical Engineering OnLine. 13(1). 36–36. 14 indexed citations
9.
Kadah, Yasser M., et al.. (2013). Digital Signal Processing Methodologies for Conventional Digital Medical Ultrasound Imaging System. 3(1). 14–30. 9 indexed citations
10.
Alakwaa, Fadhl, Nahed H. Solouma, & Yasser M. Kadah. (2011). Construction of gene regulatory networks using biclustering and bayesian networks. Theoretical Biology and Medical Modelling. 8(1). 39–39. 19 indexed citations
11.
Kadah, Yasser M., et al.. (2009). Modeling the interaction of Brain Regions based on Functional Magnetic Resonance Imaging time series. 1–11.
12.
Kadah, Yasser M., et al.. (2009). Electrocardiogram signals identification for cardiac arrhythmias using prony's method and neural network. PubMed. 2009. 1893–1896. 5 indexed citations
13.
Kadah, Yasser M., et al.. (2009). Fast fractal modeling of mammograms for microcalcifications detection. 1–6. 4 indexed citations
14.
Youssef, Abou‐Bakr M., et al.. (2009). Feature selection in computer aided diagnostic system for microcalcification detection in digital mammograms. 1–9. 6 indexed citations
15.
Kadah, Yasser M., et al.. (2009). Software development for low cost, high quality, real-time 4D ultrasound imaging system on personal computers (PCs). 1–2. 1 indexed citations
16.
Kadah, Yasser M., et al.. (2009). Modeling of ultrasound hyperthermia treatment of breast tumors. 1–8. 4 indexed citations
17.
Alakwaa, Fadhl, Mohamed Ali, & Yasser M. Kadah. (2009). BicAT_Plus: An automatic comparative tool for bi/clustering of gene expression data obtained using microarrays. 1–8. 5 indexed citations
18.
Kadah, Yasser M., et al.. (2009). Embedded high-speed data acquisition and digital signal processing platform for digital ultrasound imaging. 1–2.
19.
Wahed, Manal Abdel, et al.. (2009). Computer aided diagnosis system for classification of microcalcifications in digital mammograms. 1–6. 6 indexed citations
20.
Kadah, Yasser M. & Xiaoping Hu. (1998). Algebraic reconstruction for magnetic resonance imaging under B/sub 0/ inhomogeneity. IEEE Transactions on Medical Imaging. 17(3). 362–370. 38 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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