Mona A. S. Ali

946 total citations
25 papers, 518 citations indexed

About

Mona A. S. Ali is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Mona A. S. Ali has authored 25 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Plant Science. Recurrent topics in Mona A. S. Ali's work include Smart Agriculture and AI (4 papers), Brain Tumor Detection and Classification (3 papers) and Infrared Thermography in Medicine (3 papers). Mona A. S. Ali is often cited by papers focused on Smart Agriculture and AI (4 papers), Brain Tumor Detection and Classification (3 papers) and Infrared Thermography in Medicine (3 papers). Mona A. S. Ali collaborates with scholars based in Egypt, Saudi Arabia and Jordan. Mona A. S. Ali's co-authors include Fathimathul Rajeena P. P., Aboul Ella Hassenian, Hesham A. Hefny, Aboul Ella Hassanien, Walaa N. Ismail, Tarek Gaber, Václav Snåšel, Gehad Ismail Sayed, Diaa Salama Abd Elminaam and Mohamed A. Moustafa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Mona A. S. Ali

22 papers receiving 487 citations

Peers

Mona A. S. Ali

RNMI

CVPR

Rusdha Muharar Indonesia

Fitri Arnia Indonesia

Ch. Usha Kumari India

Hengde Zhu United Kingdom

Aiman Al-Sabaawi Australia

Mingle Xu South Korea

K. Suganya Devi India

Abdullah Elen Türkiye

Esraa Hassan Egypt

Weiming Wu China

Rusdha Muharar Indonesia

Mona A. S. Ali

48 ×0.3

131 ×1.0

RNMI

80 ×0.6

19 ×0.2

50 ×0.7

CVPR

Citations per year, relative to Mona A. S. Ali Mona A. S. Ali (= 1×) peers Rusdha Muharar

Countries citing papers authored by Mona A. S. Ali

Since Specialization

Citations

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

Fields of papers citing papers by Mona A. S. Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona A. S. Ali. 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 Mona A. S. Ali. The network helps show where Mona A. S. Ali may publish in the future.

Co-authorship network of co-authors of Mona A. S. Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mona A. S. Ali. A scholar is included among the top collaborators of Mona A. S. Ali 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 Mona A. S. Ali. Mona A. S. Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ali, Mona A. S., et al.. (2024). Image-based deep learning automated grading of date fruit (Alhasa case study Saudi Arabia). International Journal of Computational Vision and Robotics. 14(2). 213–231. 2 indexed citations

Moustafa, Mohamed A., et al.. (2024). How Does Sustainable Organizational Support Affect Job Burnout in the Hospitality Sector? The Mediating Role of Psychological Capital. Sustainability. 16(2). 840–840. 3 indexed citations

P., Fathimathul Rajeena P., S Aswathy, Mohamed A. Moustafa, & Mona A. S. Ali. (2023). Detecting Plant Disease in Corn Leaf Using EfficientNet Architecture—An Analytical Approach. Electronics. 12(8). 1938–1938. 31 indexed citations

P., Fathimathul Rajeena P., Walaa N. Ismail, & Mona A. S. Ali. (2023). A Metaheuristic Harris Hawks Optimization Algorithm for Weed Detection Using Drone Images. Applied Sciences. 13(12). 7083–7083. 14 indexed citations

Ismail, Walaa N., Fathimathul Rajeena P. P., & Mona A. S. Ali. (2023). A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data. Mathematics. 11(4). 957–957. 33 indexed citations

P., Fathimathul Rajeena P., et al.. (2023). Construction Site Hazards Identification Using Deep Learning and Computer Vision. Sustainability. 15(3). 2358–2358. 30 indexed citations

Ali, Mona A. S., Mohamed Meselhy Eltoukhy, Fathimathul Rajeena P. P., & Tarek Gaber. (2023). Efficient thermal face recognition method using optimized curvelet features for biometric authentication. PLoS ONE. 18(6). e0287349–e0287349. 6 indexed citations

P., Fathimathul Rajeena P., Malliga Subramanian, Suresh Muthusamy, et al.. (2022). A Novel Method for the Classification of Butterfly Species Using Pre-Trained CNN Models. Electronics. 11(13). 2016–2016. 28 indexed citations

Ali, Mona A. S., et al.. (2022). Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network. Electronics. 11(11). 1763–1763. 16 indexed citations

10.

Ali, Mona A. S., et al.. (2022). A Novel Method for Survival Prediction of Hepatocellular Carcinoma Using Feature-Selection Techniques. Applied Sciences. 12(13). 6427–6427. 15 indexed citations

11.

Ismail, Walaa N., Fathimathul Rajeena P. P., & Mona A. S. Ali. (2022). MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model. Electronics. 11(23). 3893–3893. 16 indexed citations

12.

Hafsa, Noor E., et al.. (2021). An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images. Symmetry. 13(1). 113–113. 27 indexed citations

13.

Ali, Mona A. S., et al.. (2019). Bio-inspired Based Techniques for Thermogram Breast Cancer Classification. International journal of intelligent engineering and systems. 12(2). 114–124. 15 indexed citations

14.

Ali, Mona A. S., et al.. (2018). A Hybrid Model (SVM-LOA) for Epileptic Seizure Detection in Long-Term EEG Records Using Machine Learning Techniques. International journal of intelligent engineering and systems. 11(5). 162–172. 5 indexed citations

15.

Ali, Mona A. S., et al.. (2017). Increasing the hiding capacity in image steganography using Braille code. International Journal of Intelligent Engineering Informatics. 5(4). 327–327.

16.

Houssein, Essam H., Mona A. S. Ali, & Aboul Ella Hassanien. (2016). An Image Steganography Algorithm using Haar Discreet Wavelet Transform with Advanced Encryption System. SHILAP Revista de lepidopterología. 8. 641–644. 13 indexed citations

17.

Ali, Mona A. S., et al.. (2015). Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method. SHILAP Revista de lepidopterología. 5. 255–261. 46 indexed citations

18.

Ali, Mona A. S., Mohamed Shaalan, Aboul Ella Hassanien, & Tai-hoon Kim. (2015). A Simple Approach for Segmentation and Removal of Interphase Cells from Chromosome Images. 3–8. 4 indexed citations

19.

Sayed, Gehad Ismail, Mona A. S. Ali, Tarek Gaber, Aboul Ella Hassanien, & Václav Snåšel. (2015). A hybrid segmentation approach based on Neutrosophic sets and modified watershed: A case of abdominal CT Liver parenchyma. 144–149. 30 indexed citations

20.

Gaber, Tarek, Ahmed M. Anter, Mona Soliman, et al.. (2015). Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm. PubMed. 2015. 4254–4257. 29 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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