Huda M. Alshanbari

1.1k total citations
75 papers, 671 citations indexed

About

Huda M. Alshanbari is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Huda M. Alshanbari has authored 75 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Statistics and Probability, 24 papers in Statistics, Probability and Uncertainty and 10 papers in Management Science and Operations Research. Recurrent topics in Huda M. Alshanbari's work include Statistical Distribution Estimation and Applications (38 papers), Probabilistic and Robust Engineering Design (18 papers) and Statistical Methods and Bayesian Inference (13 papers). Huda M. Alshanbari is often cited by papers focused on Statistical Distribution Estimation and Applications (38 papers), Probabilistic and Robust Engineering Design (18 papers) and Statistical Methods and Bayesian Inference (13 papers). Huda M. Alshanbari collaborates with scholars based in Saudi Arabia, Egypt and Pakistan. Huda M. Alshanbari's co-authors include Abd Al-Aziz Hosni El-Bagoury, Dost Muhammad Khan, Zubair Ahmad, Faridoon Khan, Zubair Ahmad, Hasnain Iftikhar, Ahmed M. Gemeay, G. Srinivasa Rao, Saima K. Khosa and E. H. Hafez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Huda M. Alshanbari

63 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huda M. Alshanbari Saudi Arabia 15 306 212 145 66 56 75 671
Abd Al-Aziz Hosni El-Bagoury Egypt 14 176 0.6× 109 0.5× 107 0.7× 52 0.8× 42 0.8× 30 415
Faridoon Khan Pakistan 14 129 0.4× 88 0.4× 87 0.6× 32 0.5× 40 0.7× 33 468
Rosa E. Lillo Spain 16 388 1.3× 187 0.9× 180 1.2× 177 2.7× 55 1.0× 91 872
Muhammad Qaiser Shahbaz Pakistan 14 524 1.7× 312 1.5× 61 0.4× 112 1.7× 23 0.4× 88 820
Muhammad Zubair Pakistan 18 452 1.5× 305 1.4× 52 0.4× 283 4.3× 77 1.4× 77 1.1k
‎M‎ohammad Arashi Iran 19 906 3.0× 310 1.5× 135 0.9× 135 2.0× 44 0.8× 163 1.3k
Oluwafemi Samson Balogun Finland 12 335 1.1× 196 0.9× 54 0.4× 61 0.9× 11 0.2× 111 617
S. Ejaz Ahmed Canada 17 785 2.6× 134 0.6× 104 0.7× 156 2.4× 12 0.2× 159 1.1k
K. B. Kulasekera United States 16 510 1.7× 154 0.7× 94 0.6× 129 2.0× 22 0.4× 52 758
Yong Zhou China 22 1.1k 3.7× 112 0.5× 120 0.8× 258 3.9× 42 0.8× 165 1.5k

Countries citing papers authored by Huda M. Alshanbari

Since Specialization
Citations

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

Fields of papers citing papers by Huda M. Alshanbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huda M. Alshanbari

This figure shows the co-authorship network connecting the top 25 collaborators of Huda M. Alshanbari. A scholar is included among the top collaborators of Huda M. Alshanbari 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 Huda M. Alshanbari. Huda M. Alshanbari 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.
Alshanbari, Huda M., et al.. (2025). FEM-based numerical study for enhanced electrical and thermal effectiveness in photovoltaic thermal systems with attached trapezoidal flow channels. Case Studies in Thermal Engineering. 69. 105997–105997. 4 indexed citations
2.
Alshanbari, Huda M., et al.. (2025). Prospective Inference of Central Tendency Through Data-Adaptive Mechanisms. Mathematics. 13(22). 3622–3622.
3.
Alshanbari, Huda M., et al.. (2025). A new asymmetrical probability model: Its empirical exploration using the price quotations of the ceramic products. Alexandria Engineering Journal. 117. 66–80.
4.
Yang, Honghao, et al.. (2025). Financial engineering and the digital economy: The implementations of machine learning algorithms. Alexandria Engineering Journal. 125. 311–319. 2 indexed citations
5.
6.
Huang, Xiaowei, Dongmei Wang, Olayan Albalawi, & Huda M. Alshanbari. (2024). The enhanced fitting ability of a new tangent-apt probabilistic model: Its implementations to the music engineering and reliability phenomena. Alexandria Engineering Journal. 105. 508–522. 2 indexed citations
7.
Dar, Aamir H., et al.. (2024). Novel fractional scaled Wigner distribution using fractional instantaneous autocorrelation. Signal Image and Video Processing. 18(S1). 825–835.
8.
Albalawi, Olayan, et al.. (2024). A novel probabilistic model: Simulation and modeling the time duration in musical education and engineering. Alexandria Engineering Journal. 106. 392–402. 3 indexed citations
9.
Yong, Wang, et al.. (2024). A new optimal probability model: Its background and applications to sports and reliability. Alexandria Engineering Journal. 107. 521–532. 3 indexed citations
10.
Alshanbari, Huda M., et al.. (2023). A new flexible Weibull extension model: Different estimation methods and modeling an extreme value data. Heliyon. 9(11). e21704–e21704. 6 indexed citations
11.
Alshanbari, Huda M., et al.. (2023). A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data. Axioms. 12(5). 477–477. 16 indexed citations
12.
Khan, Dost Muhammad, et al.. (2023). Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model. Applied Sciences. 13(3). 1429–1429. 68 indexed citations
13.
Al‐Essa, Laila A., Ahmed A. Soliman, Gamal A. Abd-Elmougod, & Huda M. Alshanbari. (2023). Copula Approach for Dependent Competing Risks of Generalized Half-Logistic Distributions under Accelerated Censoring Data. Symmetry. 15(2). 564–564. 1 indexed citations
14.
Farooq, Muhammad Adeel, et al.. (2023). Modeling of System Availability and Bayesian Analysis of Bivariate Distribution. Symmetry. 15(9). 1698–1698. 1 indexed citations
15.
Amin, Muhammad, et al.. (2023). On the Estimation of the Binary Response Model. Axioms. 12(2). 175–175. 1 indexed citations
16.
Alshanbari, Huda M., et al.. (2023). On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events. Diagnostics. 13(7). 1310–1310. 34 indexed citations
17.
Alshanbari, Huda M., et al.. (2022). Novel Type I Half Logistic Burr-Weibull Distribution: Application to COVID-19 Data. Computational and Mathematical Methods in Medicine. 2022. 1–13. 3 indexed citations
18.
Taloba, Ahmed I., Rasha M. Abd El-Aziz, Huda M. Alshanbari, & Abd Al-Aziz Hosni El-Bagoury. (2022). Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning. Journal of Healthcare Engineering. 2022. 1–10. 25 indexed citations
19.
Almetwally, Ehab M., et al.. (2021). Statistical Inference under Censored Data for the New Exponential‐X Fréchet Distribution: Simulation and Application to Leukemia Data. Computational Intelligence and Neuroscience. 2021(1). 2167670–2167670. 18 indexed citations
20.
Alshanbari, Huda M., et al.. (2021). New Weighted Lomax (NWL) Distribution with Applications to Real and Simulated Data. Mathematical Problems in Engineering. 2021. 1–12. 1 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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