Ahmed Sayed M. Metwally

985 total citations
80 papers, 570 citations indexed

About

Ahmed Sayed M. Metwally is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ahmed Sayed M. Metwally has authored 80 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 18 papers in Biomedical Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Ahmed Sayed M. Metwally's work include Nanofluid Flow and Heat Transfer (13 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (12 papers) and Hybrid Renewable Energy Systems (7 papers). Ahmed Sayed M. Metwally is often cited by papers focused on Nanofluid Flow and Heat Transfer (13 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (12 papers) and Hybrid Renewable Energy Systems (7 papers). Ahmed Sayed M. Metwally collaborates with scholars based in Saudi Arabia, China and India. Ahmed Sayed M. Metwally's co-authors include Tao Hai, Farhan A. Alenizi, Bhupendra Singh Chauhan, Masood Ashraf Ali, Junwei Lu, Usman Bashir Tayab, Hamad Almujibah, Abdullah H. Alshahri, Mika Sillanpää and Adil Hussein Mohammed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Ahmed Sayed M. Metwally

67 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed Sayed M. Metwally Saudi Arabia 14 156 138 86 68 57 80 570
Richard Vilim United States 12 108 0.7× 228 1.7× 81 0.9× 74 1.1× 61 1.1× 59 633
Shanshan Jiang Norway 12 131 0.8× 148 1.1× 88 1.0× 24 0.4× 99 1.7× 39 651
Kurtuluş Boran Türkiye 12 320 2.1× 72 0.5× 146 1.7× 29 0.4× 77 1.4× 31 618
Yujiong Gu China 12 207 1.3× 290 2.1× 64 0.7× 55 0.8× 64 1.1× 52 631
Dongil Shin South Korea 15 156 1.0× 71 0.5× 71 0.8× 21 0.3× 27 0.5× 88 861
Theyab R. Alsenani Saudi Arabia 16 382 2.4× 149 1.1× 206 2.4× 113 1.7× 180 3.2× 54 742
Mohammed A. Alghassab Saudi Arabia 16 110 0.7× 339 2.5× 32 0.4× 136 2.0× 198 3.5× 65 768
Chin‐Chi Cheng Taiwan 12 252 1.6× 251 1.8× 87 1.0× 15 0.2× 149 2.6× 53 841

Countries citing papers authored by Ahmed Sayed M. Metwally

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Sayed M. Metwally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed Sayed M. Metwally. 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 Ahmed Sayed M. Metwally. The network helps show where Ahmed Sayed M. Metwally may publish in the future.

Co-authorship network of co-authors of Ahmed Sayed M. Metwally

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Sayed M. Metwally. A scholar is included among the top collaborators of Ahmed Sayed M. Metwally 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 Ahmed Sayed M. Metwally. Ahmed Sayed M. Metwally 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.
Hossain, M. Khalid, et al.. (2025). An in-depth study on charge transport layers for designing and optimizing high-efficiency lead-free CsSnGeI3-based double-perovskite solar cells: A numerical approach. Journal of Physics and Chemistry of Solids. 203. 112715–112715. 5 indexed citations
2.
Umer, T., Aamer Bilal Asghar, Muhammad Aslam, et al.. (2025). Machine learning assisted predictive urban digital twin for intelligent monitoring of air quality index for smart city environment. Environmental Modelling & Software. 192. 106559–106559. 2 indexed citations
3.
Asghar, Aamer Bilal, et al.. (2024). Classification and monitoring of arm exercises using machine learning and wrist-worn band. Egyptian Informatics Journal. 27. 100534–100534.
4.
Khan, Naseer Muhammad, et al.. (2024). Simulation Study on Value Cocreation Mechanism of Digital Creative Industry Innovation Ecosystem Based on SEM-SD Model. IEEE Transactions on Engineering Management. 71. 11297–11314. 3 indexed citations
5.
Jahan, Zaib, Muhammad Ahsan, Muhammad Bilal Khan Niazi, et al.. (2024). Development and Evaluation of User‐Friendly Modeled Approach for Sustainable Polymer Membranes for Advanced Hemodialysis. Advanced Materials Interfaces. 12(1).
6.
Houwe, Alphonse, Souleymanou Abbagari, Lanre Akinyemi, et al.. (2024). Bifurcation and chaotic patterns of the solitary waves in nonlinear electrical transmission line lattice. Chaos Solitons & Fractals. 186. 115231–115231. 5 indexed citations
7.
Venkateswarlu, B., Sang Woo Joo, N. Nagendra, & Ahmed Sayed M. Metwally. (2024). Numerical investigation of electromagnetic [Cu + TiO2/H2O]h hybrid nanofluid flow with solar radiation over an exponential stretching surface. Asia-Pacific Journal of Chemical Engineering. 20(1). 3 indexed citations
8.
Abbas, Shajar, et al.. (2024). A comparative study of heat absorption and chemical reaction on MHD flow with fractional derivatives. Numerical Heat Transfer Part A Applications. 87(1). 3 indexed citations
9.
Ghebouli, M.A., et al.. (2024). Optimal Control for a Mathematical Model of Cancer Disease via Dynamic Programming Approach. Optimal Control Applications and Methods. 46(3). 1072–1080.
10.
Kashif, Muhammad, et al.. (2024). Optimization of lead-free KSnI3 perovskite solar cell by numerical simulation with enhanced efficiency of 20.34%. Journal of Optics. 55(1). 217–231. 7 indexed citations
11.
12.
Hai, Tao, et al.. (2023). Machine learning-aided modeling of the hydrogen storage in zeolite-based porous media. International Communications in Heat and Mass Transfer. 145. 106848–106848. 18 indexed citations
13.
Hai, Tao, et al.. (2023). Using machine learning for comparative optimizing a novel integration of molten carbonate and solid oxide fuel cells with CO2 recovering and gasification. International Journal of Hydrogen Energy. 48(97). 38454–38472. 5 indexed citations
14.
Hai, Tao, et al.. (2023). Solid oxide fuel cell energy system with absorption-ejection refrigeration optimized using a neural network with multiple objectives. International Journal of Hydrogen Energy. 52. 954–972. 8 indexed citations
15.
16.
Ebeed, Mohamed, et al.. (2023). A New Optimized FOPIDA-FOIDN Controller for the Frequency Regulation of Hybrid Multi-Area Interconnected Microgrids. Fractal and Fractional. 7(9). 666–666. 13 indexed citations
17.
Zhang, Ziyang, Ahmed Sayed M. Metwally, Shubham Sharma, et al.. (2023). Scheduling and Controlling Production in an Internet of Things Environment for Industry 4.0: An Analysis and Systematic Review of Scientific Metrological Data. Sustainability. 15(9). 7600–7600. 9 indexed citations
18.
Hai, Tao, As’ad Alizadeh, Masood Ashraf Ali, et al.. (2023). Machine learning-assisted tri-objective optimization inspired by grey wolf behavior of an enhanced SOFC-based system for power and freshwater production. International Journal of Hydrogen Energy. 48(66). 25869–25883. 13 indexed citations
19.
Hai, Tao, et al.. (2023). Enhancing efficiency and reducing CO2 emission of a geothermal-driven polygeneration system: Environmental analysis and optimization. Process Safety and Environmental Protection. 174. 95–114. 12 indexed citations
20.
Metwally, Ahmed Sayed M., et al.. (2020). USING WHATSAPP IN COORDINATION WITH ZOOM AND MICROSOFT TEAMS TO ENHANCE ONLINE LEARNING DURING COVID -19 LOCKDOWN. 29(5). 1024. 3 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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