Mohamed Shaban
- Last known institution:
- Beni-Suef University
- ORCID:
- 0000-0002-4368-8269
5
h-index
0
i10-index
53
Citations
24
Works
Trends over time
Performance over time
Citation overview
Publications (bars) and citations (line) by year
- Publications
- Citations
Citation history
Publication history
h-index evolution
Cumulative h-index by year
Most-cited works
- Water process/treatment by a S-scheme Fe2O3/TiO2 heterojunction photocatalyst for excellent antibiotic degradation/CO2 reduction/H2 production; process optimization and mechanistic insights20248 citations
- A geothermal-based freshwater/cooling system assisted by heat recovery sections: 3E analysis and techno-economic optimization using genetic algorithm20246 citations
- Waste heat recovery cycles integration into a net-Zero emission solar-thermal multi-generation system; Techno-economic analysis and ANN-MOPSO optimization20245 citations
- Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization20244 citations
- Superb photocatalytic H2 production/tetracycline pollutant degradation by synthesizing novel and recyclable ternary g-C3N4-based photocatalyst: Characterization/optimization/mechanism/toxicity assessment20242 citations
- Renewable energy/freshwater security goals in urban areas through geothermal-based desalination system: Central composite design analysis and optimization20242 citations
- Artificial intelligence-powered study of a waste-to-energy system through optimization by regression-centered machine learning algorithms20251 citations
- Advanced latent thermal energy storage design featuring three dividers: Optimizing multi-enclosure system with ANN-driven models and hybrid phase change material integration20251 citations
- Integrated solar energy-energy storage system for an electricity-freshwater multigeneration configuration: Exergo-economic assessment with multi-objective particle swarm optimization20251 citations
- Improving energy absorption capacity in a thermal energy storage system for domestic heating applications using an integrated machine learning/numerical approach20251 citations