Mobarak Abumohsen

403 total citations · 1 hit paper
8 papers, 190 citations indexed

About

Mobarak Abumohsen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mobarak Abumohsen has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mobarak Abumohsen's work include Energy Load and Power Forecasting (4 papers), Stock Market Forecasting Methods (2 papers) and Solar Radiation and Photovoltaics (2 papers). Mobarak Abumohsen is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Stock Market Forecasting Methods (2 papers) and Solar Radiation and Photovoltaics (2 papers). Mobarak Abumohsen collaborates with scholars based in Palestinian Territory, Spain and Netherlands. Mobarak Abumohsen's co-authors include Amani Yousef Owda, Majdi Owda, Enrique Costa‐Montenegro, Lampros Stergioulas and Silvia García-Méndez and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

Mobarak Abumohsen

6 papers receiving 177 citations

Hit Papers

Electrical Load Forecasting Using LSTM, GRU, and RNN Algo... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms
    2023 160 citations Mobarak Abumohsen, Amani Yousef Owda et al. Energies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mobarak Abumohsen Palestinian Territory 3 131 44 38 26 21 8 190
Jiangyi Hu China 4 166 1.3× 49 1.1× 33 0.9× 35 1.3× 25 1.2× 4 233
Cenk Gezegin Türkiye 8 262 2.0× 38 0.9× 35 0.9× 26 1.0× 63 3.0× 17 323
Arunesh Kumar Singh India 7 221 1.7× 47 1.1× 64 1.7× 22 0.8× 37 1.8× 23 270
Yixiu Guo China 6 184 1.4× 46 1.0× 19 0.5× 35 1.3× 38 1.8× 12 245
Paweł Pełka Poland 7 163 1.2× 43 1.0× 86 2.3× 33 1.3× 16 0.8× 13 216
Zhetong Ding China 9 247 1.9× 92 2.1× 43 1.1× 39 1.5× 53 2.5× 17 302
Weixuan Lin Canada 8 322 2.5× 62 1.4× 31 0.8× 91 3.5× 66 3.1× 17 355
Shafiul Hasan Rafi Bangladesh 5 294 2.2× 63 1.4× 94 2.5× 67 2.6× 33 1.6× 8 341

Countries citing papers authored by Mobarak Abumohsen

Since Specialization
Citations

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

Fields of papers citing papers by Mobarak Abumohsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mobarak Abumohsen

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

All Works

8 of 8 papers shown
1.
2.
Owda, Majdi, et al.. (2025). A Lightweight Hybrid Deep Learning Model for Tuberculosis Detection from Chest X-Rays. Diagnostics. 15(24). 3216–3216.
3.
Owda, Amani Yousef, et al.. (2025). A Novel Hybrid Model for Brain Ischemic Stroke Detection Using Feature Fusion and Convolutional Block Attention Module. IEEE Access. 13. 44466–44483. 1 indexed citations
4.
Abumohsen, Mobarak, Enrique Costa‐Montenegro, Silvia García-Méndez, Amani Yousef Owda, & Majdi Owda. (2025). Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification. ArXiv.org. 7–12.
5.
Abumohsen, Mobarak, et al.. (2024). Forecasting Solar Power Generation Using Extreme Gradient Boosting: A Machine Learning Approach. 505–510. 1 indexed citations
6.
Abumohsen, Mobarak, et al.. (2024). Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation. SHILAP Revista de lepidopterología. 9. 100636–100636. 18 indexed citations
7.
Abumohsen, Mobarak, Amani Yousef Owda, & Majdi Owda. (2023). Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms. Energies. 16(5). 2283–2283. 160 indexed citations breakdown →
8.
Abumohsen, Mobarak, Amani Yousef Owda, & Majdi Owda. (2023). Electrical Load Forecasting Based on Random Forest, XGBoost, and Linear Regression Algorithms. 25–31. 9 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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