Hamza Mubarak

491 total citations
23 papers, 290 citations indexed

About

Hamza Mubarak is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering. According to data from OpenAlex, Hamza Mubarak has authored 23 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 9 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Control and Systems Engineering. Recurrent topics in Hamza Mubarak's work include Energy Load and Power Forecasting (11 papers), Electric Power System Optimization (7 papers) and Optimal Power Flow Distribution (6 papers). Hamza Mubarak is often cited by papers focused on Energy Load and Power Forecasting (11 papers), Electric Power System Optimization (7 papers) and Optimal Power Flow Distribution (6 papers). Hamza Mubarak collaborates with scholars based in Malaysia, Australia and Bangladesh. Hamza Mubarak's co-authors include Abdallah Abdellatif, Shameem Ahmad, Hazlie Mokhlis, Tofael Ahmed, Saad Mekhilef, Hamdan Abdellatef, Hassan Muwafaq Gheni, Md Mahmudur Rahman, Nurulafiqah Nadzirah Mansor and GM Shafiullah and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Hamza Mubarak

19 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamza Mubarak Malaysia 10 222 97 82 33 32 23 290
V. Prema India 10 240 1.1× 163 1.7× 85 1.0× 68 2.1× 28 0.9× 26 352
Mohsen Ben Ammar Tunisia 9 198 0.9× 135 1.4× 157 1.9× 75 2.3× 16 0.5× 23 305
Haihong Bian China 10 201 0.9× 85 0.9× 75 0.9× 31 0.9× 27 0.8× 24 294
Khalid Guissi Morocco 3 147 0.7× 146 1.5× 109 1.3× 19 0.6× 19 0.6× 8 246
El Houssain Baali Morocco 3 147 0.7× 146 1.5× 109 1.3× 19 0.6× 19 0.6× 8 246
Ashkan Safari Iran 10 160 0.7× 43 0.4× 31 0.4× 62 1.9× 34 1.1× 43 267
Leena Heistrene India 4 147 0.7× 96 1.0× 36 0.4× 54 1.6× 18 0.6× 11 278
Yanbo Che China 7 228 1.0× 161 1.7× 94 1.1× 49 1.5× 17 0.5× 25 334
Adila El Maghraoui Morocco 8 130 0.6× 70 0.7× 54 0.7× 58 1.8× 10 0.3× 18 235

Countries citing papers authored by Hamza Mubarak

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Mubarak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Mubarak

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Mubarak. A scholar is included among the top collaborators of Hamza Mubarak 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 Hamza Mubarak. Hamza Mubarak 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.
Abdellatif, Abdallah, Hamza Mubarak, Harikrishnan Ramiah, et al.. (2025). SHapley Additive exPlanations-guided rule-based energy management: bridging machine learning interpretability and adaptive control strategies. Renewable energy focus. 56. 100779–100779.
2.
Mubarak, Hamza, Abdallah Abdellatif, Shameem Ahmad, et al.. (2024). Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization. International Journal of Electrical Power & Energy Systems. 161. 110206–110206. 16 indexed citations
3.
4.
Barbosa, A.F., Hamza Mubarak, Fazel Mohammadi, M. J. Sanjari, & Mehrdad Saif. (2024). A Real-Time IoT-Based Data Acquisition and Monitoring System for Photovoltaic Applications. 667–670.
5.
Pourdaryaei, Alireza, Mohammad Mohammadi, Hamza Mubarak, et al.. (2023). A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market. Expert Systems with Applications. 235. 121207–121207. 44 indexed citations
6.
Ahmad, Shameem, et al.. (2023). Point of Common Coupling Voltage Modulated Direct Power Control of Grid-Tied Photovoltaic Inverter for AC Microgrid Application. International Transactions on Electrical Energy Systems. 2023. 1–22. 8 indexed citations
7.
Mubarak, Hamza, M. J. Sanjari, Sascha Stegen, & Abdallah Abdellatif. (2023). Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study. Energies. 16(21). 7252–7252. 10 indexed citations
8.
Mubarak, Hamza, Shameem Ahmad, Ben Horan, et al.. (2023). Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models. Griffith Research Online (Griffith University, Queensland, Australia). 1–6. 4 indexed citations
9.
10.
Abdellatif, Abdallah, Hamza Mubarak, Hamdan Abdellatef, et al.. (2023). Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework. Biomedical Signal Processing and Control. 88. 105644–105644. 13 indexed citations
11.
Mubarak, Hamza, M. J. Sanjari, Feifei Bai, Sascha Stegen, & Abdallah Abdellatif. (2023). Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model Approach. Griffith Research Online (Griffith University, Queensland, Australia). 6. 1–6.
12.
Abdellatif, Abdallah, Hamza Mubarak, Shameem Ahmad, et al.. (2022). Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model. Sustainability. 14(17). 11083–11083. 63 indexed citations
13.
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Mubarak, Hamza, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor, et al.. (2022). Operational Cost Minimization of Electrical Distribution Network during Switching for Sustainable Operation. Sustainability. 14(7). 4196–4196. 17 indexed citations
15.
16.
Mubarak, Hamza, Shameem Ahmad, Abdallah Abdellatif, et al.. (2022). A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction. Journal of Cleaner Production. 382. 134979–134979. 40 indexed citations
17.
18.
Mubarak, Hamza, et al.. (2021). Optimal Distribution Networks Expansion Planning with DG for Power Losses Reduction. 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). 1–5. 5 indexed citations
19.
Mubarak, Hamza, Nurulafiqah Nadzirah Mansor, Hazlie Mokhlis, et al.. (2021). Optimum Distribution System Expansion Planning Incorporating DG Based on N-1 Criterion for Sustainable System. Sustainability. 13(12). 6708–6708. 20 indexed citations
20.
Feilat, Eyad A., et al.. (2019). Estimation of Synchronizing and Damping Torque Coefficients Using Deep Learning. 488–493. 8 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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