Murtada K. Elbashir

671 total citations
45 papers, 371 citations indexed

About

Murtada K. Elbashir is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Murtada K. Elbashir has authored 45 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Murtada K. Elbashir's work include Machine Learning in Bioinformatics (8 papers), Gene expression and cancer classification (8 papers) and Protein Structure and Dynamics (5 papers). Murtada K. Elbashir is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Gene expression and cancer classification (8 papers) and Protein Structure and Dynamics (5 papers). Murtada K. Elbashir collaborates with scholars based in Saudi Arabia, Sudan and South Africa. Murtada K. Elbashir's co-authors include Mohanad Mohammed, Henry Mwambi, Bernard Omolo, Innocent B. Mboya, Mohamed Ezz, Mohamed Elhafiz Mustafa, Jianxin Wang, Waseem Asghar Khan, Umer Farooq and Wael Said and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Murtada K. Elbashir

40 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Murtada K. Elbashir Saudi Arabia	9	124	121	59	43	34	45	371
Meihong Wang China	12	149 1.2×	103 0.9×	44 0.7×	76 1.8×	20 0.6×	38	550
Lei You China	9	113 0.9×	132 1.1×	61 1.0×	137 3.2×	29 0.9×	23	462
Alexander Partin United States	10	80 0.6×	107 0.9×	133 2.3×	26 0.6×	28 0.8×	24	463
Reinel Tabares-Soto Colombia	14	176 1.4×	142 1.2×	115 1.9×	162 3.8×	14 0.4×	46	632
Dhirendra Pratap Singh India	11	93 0.8×	51 0.4×	75 1.3×	100 2.3×	21 0.6×	62	456
Edwin Vans Fiji	5	114 0.9×	125 1.0×	24 0.4×	50 1.2×	26 0.8×	6	358
Qi Song China	14	237 1.9×	229 1.9×	74 1.3×	200 4.7×	75 2.2×	56	805
Wenwen Min China	9	47 0.4×	150 1.2×	15 0.3×	53 1.2×	31 0.9×	48	294
Bilal Mirza Singapore	10	430 3.5×	202 1.7×	32 0.5×	103 2.4×	45 1.3×	19	751

Countries citing papers authored by Murtada K. Elbashir

Since Specialization

Citations

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

Fields of papers citing papers by Murtada K. Elbashir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murtada K. Elbashir. 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 Murtada K. Elbashir. The network helps show where Murtada K. Elbashir may publish in the future.

Co-authorship network of co-authors of Murtada K. Elbashir

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

All Works

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20 of 20 papers shown

Mahmood, Mahmood A., et al.. (2025). Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM. Scientific Reports. 15(1). 31956–31956.

Aldughayfiq, Bader, et al.. (2025). AI-based prediction of traffic crash severity for improving road safety and transportation efficiency. Scientific Reports. 15(1). 27468–27468.

Elbashir, Murtada K., et al.. (2024). Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network. Diagnostics. 14(19). 2178–2178. 4 indexed citations

Elbashir, Murtada K., et al.. (2024). Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data. Journal of Computational Biology. 31(5). 458–471.

Elbashir, Murtada K., et al.. (2024). Performance Evaluation of Multiple Machine Learning Models in Predicting Power Generation for a Grid-Connected 300 MW Solar Farm. Energies. 17(2). 525–525. 6 indexed citations

Mahmood, Mahmood A., et al.. (2024). Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI). International Journal of Computers Communications & Control. 19(5). 1 indexed citations

Ezz, Mohamed, et al.. (2023). Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication. Applied Sciences. 13(19). 10871–10871. 25 indexed citations

Elbashir, Murtada K., Mohanad Mohammed, Henry Mwambi, & Bernard Omolo. (2023). Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network. Applied Sciences. 13(4). 2403–2403. 13 indexed citations

Elbashir, Murtada K., et al.. (2023). Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization. Journal of Intelligent Systems. 32(1). 4 indexed citations

10.

Ezz, Mohamed, et al.. (2023). Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection. Computer Systems Science and Engineering. 46(1). 619–636. 1 indexed citations

11.

Ezugwu, Absalom E., et al.. (2023). A novel feature selection algorithm for identifying hub genes in lung cancer. Scientific Reports. 13(1). 21671–21671. 5 indexed citations

12.

Elbashir, Murtada K., et al.. (2023). A Transfer Learning Approach Based on Ultrasound Images for Liver Cancer Detection. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5105–5121. 5 indexed citations

13.

Almuayqil, Saleh Naif, et al.. (2023). An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network. Applied Sciences. 13(19). 10919–10919. 4 indexed citations

14.

Elbashir, Murtada K., et al.. (2022). Nonlinear Conjugate Gradient Coefficients with Exact and Strong Wolfe Line Searches Techniques. Journal of Mathematics. 2022(1). 2 indexed citations

15.

Elbashir, Murtada K., et al.. (2022). ECG Heartbeat Classification Using CONVXGB Model. Electronics. 11(15). 2280–2280. 7 indexed citations

16.

Elbashir, Murtada K., et al.. (2021). Global Convergence of Nonlinear Conjugate Gradient Coefficients with Inexact Line Search. 4 indexed citations

17.

Mohammed, Mohanad, Innocent B. Mboya, Henry Mwambi, Murtada K. Elbashir, & Bernard Omolo. (2021). Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data. PLoS ONE. 16(12). e0261625–e0261625. 17 indexed citations

18.

Mohammed, Mohanad, Henry Mwambi, Innocent B. Mboya, Murtada K. Elbashir, & Bernard Omolo. (2021). A stacking ensemble deep learning approach to cancer type classification based on TCGA data. Scientific Reports. 11(1). 15626–15626. 92 indexed citations

19.

Elbashir, Murtada K., et al.. (2017). Enhancement of Seamless mobility in Nested Network Mobility. 1–5. 2 indexed citations

20.

Elbashir, Murtada K. & Jianxin Wang. (2015). Kernel Logistic Regression Algorithm for Large-Scale Data Classification.. The International Arab Journal of Information Technology. 12. 465–472. 4 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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