Amin Asadi
Biomedical Engineering · 2015–2021
A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 237 citations into it; #2,894 of 10,734 by trust here, #1,421 by citations
- Mechanical Engineering — 188 citations into it
- Electrical and Electronic Engineering — 31 citations into it; #9,877 of 16,539 by trust here, #8,802 by citations
Whom Amin Asadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Masoud Afrand
- M. Hemmat Esfe
- Davood Toghraie
- Meisam Asadi
- Arash Karimipour
- Mohammad Reza Safaei
- Marjan Goodarzi
- Somchai Wongwises
- Sadegh Aberoumand
- Seyfolah Saedodin
Who trusts Amin Asadi overall
- Mahdi Nabil
- Masoud Afrand
- Hafiz Muhammad Ali
- M. Hemmat Esfe
- Hamza Babar
- W. Azmi
- Tayyab Raza Shah
- Liu Yang
- Omid Mahian
- Davood Toghraie
Papers from Amin Asadi's perspective
Ordered by how strongly the researchers Amin Asadi trusts endorse each paper. Same corpus, a different order for every researcher.
- An experimental investigation and new correlation of viscosity of ZnO–EG nanofluid at various temperatures and different solid volume fractions
- Thermal conductivity modeling of MgO/EG nanofluids using experimental data and artificial neural network (Journal of Thermal Analysis and Calorimetry)
- Thermal conductivity of non-Newtonian nanofluids: Experimental data and modeling using neural network
- Heat Transfer in Nanofluids—A Review
- Application of Artificial Neural Network (ANN) for the prediction of thermal conductivity of oxide–water nanofluids
- Application of nanofluids in computer cooling systems (heat transfer performance of nanofluids)
- Modeling of thermal conductivity of ZnO-EG using experimental data and ANN methods
- A review on the applications of nanofluids in solar energy systems
- Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow
- Study of thermal conductivity of nanofluids for the application of heat transfer fluids
Their papers
- Dynamic viscosity of MWCNT/ZnO–engine oil hybrid nanofluid: An experimental investigation and new correlation in different temperatures and solid concentrations (2016) — 195 citations
- Thermal conductivity of Cu/TiO2–water/EG hybrid nanofluid: Experimental data and modeling using artificial neural network and correlation☆ (2015) — 409 citations
- Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2–EG using experimental data (2015) — 135 citations
- The effect of temperature and solid concentration on dynamic viscosity of MWCNT/MgO (20–80)–SAE50 hybrid nano-lubricant and proposing a new correlation: An experimental study (2016) — 153 citations
- On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network (2021) — 56 citations
- An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid (2020) — 155 citations
- Recent advances in preparation methods and thermophysical properties of oil-based nanofluids: A state-of-the-art review (2019) — 187 citations
- An experimental study on stability and thermal conductivity of water/silica nanofluid: Eco-friendly production of nanoparticles (2019) — 185 citations
- Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: An experimental and theoretical investigation (2018) — 319 citations
- The effect of surfactant and sonication time on the stability and thermal conductivity of water-based nanofluid containing Mg(OH)2 nanoparticles: An experimental investigation (2017) — 146 citations