Yasser Omar

470 total citations
31 papers, 282 citations indexed

About

Yasser Omar is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Yasser Omar has authored 31 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Yasser Omar's work include Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Yasser Omar is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (5 papers) and Bioinformatics and Genomic Networks (5 papers). Yasser Omar collaborates with scholars based in Egypt, United States and Saudi Arabia. Yasser Omar's co-authors include Rania Hodhod, Mai S. Mabrouk, Fahima A. Maghraby, Mohamed Kholief, Adel S. El‐Fishawy, Fathi E. Abd El‐Samie, Tarek F. Ibrahim, Amr Badr, Mohamed Shalaby and Rabie Α. Ramadan and has published in prestigious journals such as IEEE Access, Soft Computing and Ain Shams Engineering Journal.

In The Last Decade

Yasser Omar

26 papers receiving 264 citations

Peers

Yasser Omar
Haruhiko Kimura Japan
Xuanyu Wu China
Satya Ranjan Dash India
Mahsa Torkamanian-Afshar Türkiye
Md. Nasim Adnan Australia
Ming-Da Lu Taiwan
M. Sudha India
Mauno Rönkkö Finland
Moolchand Sharma India
Hongji Wang China
Haruhiko Kimura Japan
Yasser Omar
Citations per year, relative to Yasser Omar Yasser Omar (= 1×) peers Haruhiko Kimura

Countries citing papers authored by Yasser Omar

Since Specialization
Citations

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

Fields of papers citing papers by Yasser Omar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasser Omar

This figure shows the co-authorship network connecting the top 25 collaborators of Yasser Omar. A scholar is included among the top collaborators of Yasser Omar 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 Omar. Yasser Omar 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
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Omar, Yasser, et al.. (2025). XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System. Future Internet. 17(1). 25–25. 7 indexed citations
4.
Omar, Yasser, et al.. (2023). Early Detection of Colon Cancer Using Deep Learning Techniques. 569–574.
5.
Omar, Yasser, et al.. (2023). Multi-Agent System Based on Stacking Technique for Rice Yield Prediction. 1–6. 2 indexed citations
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Omar, Yasser, et al.. (2023). Towards an Enhanced Model For Contextual Topic Identification. 188–193.
7.
Omar, Yasser, et al.. (2022). Ensemble Machine Learning Techniques Using Computer Simulation Data for Wild Blueberry Yield Prediction. IEEE Access. 10. 64671–64687. 36 indexed citations
8.
Omar, Yasser, et al.. (2022). Discovering epistasis interactions in Alzheimer’s disease using integrated framework of ensemble learning and multifactor dimensionality reduction (MDR). Ain Shams Engineering Journal. 14(7). 101986–101986. 7 indexed citations
9.
Alkhalil, Adel, et al.. (2021). Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms. Complexity. 2021(1). 15 indexed citations
10.
Maghraby, Fahima A., et al.. (2021). ConvChrome: Predicting Gene Expression Based on Histone ModificationsUsing Deep Learning Techniques. Current Bioinformatics. 17(3). 273–283. 7 indexed citations
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Shalaby, Mohamed, et al.. (2021). Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease. Complexity. 2021(1). 7 indexed citations
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Mabrouk, Mai S., et al.. (2021). MACHINE LEARNING FOR DETECTING EPISTASIS INTERACTIONS AND ITS RELEVANCE TO PERSONALIZED MEDICINE IN ALZHEIMER’S DISEASE: SYSTEMATIC REVIEW. Biomedical Engineering Applications Basis and Communications. 33(6). 6 indexed citations
13.
Ibrahim, Tarek F., Yasser Omar, & Fahima A. Maghraby. (2020). Water Demand Forecasting Using Machine Learning and Time Series Algorithms. 325–329. 15 indexed citations
14.
Omar, Yasser, et al.. (2020). Traditional machine learning and big data analytics in virtual screening: a comparative study. 10(47). 72–88. 10 indexed citations
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Omar, Yasser, et al.. (2019). Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques. IEEE Access. 7. 146953–146963. 15 indexed citations
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Mabrouk, Mai S., et al.. (2019). DEVELOPING AN EARLY PREDICTIVE SYSTEM FOR IDENTIFYING GENETIC BIOMARKERS ASSOCIATED TO ALZHEIMER’S DISEASE USING MACHINE LEARNING TECHNIQUES. Biomedical Engineering Applications Basis and Communications. 31(5). 1950040–1950040. 18 indexed citations
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Hamza, Haitham S., et al.. (2017). Effects of FSM minimization techniques on number of test paths in mobile applications MBT. 180. 297–302. 1 indexed citations
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Omar, Yasser, et al.. (2017). Selection of the Best Despeckle Filter of Ultrasound Images. 245–249. 3 indexed citations
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Omar, Yasser, et al.. (2016). Mapping sorting algorithm. 488–491. 5 indexed citations
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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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