Nima Sina

Biomedical Engineering · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 144 citations into it; #4,791 of 10,734 by trust here, #2,163 by citations
• Mechanical Engineering — 110 citations into it; #3,624 of 8,300 by trust here, #1,412 by citations

Whom Nima Sina trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. Hemmat Esfe
2. Masoud Afrand
3. Davood Toghraie
4. Seyfolah Saedodin

Who trusts Nima Sina overall

1. Davood Toghraie
2. Masoud Afrand

Papers from Nima Sina's perspective

Ordered by how strongly the researchers Nima Sina trusts endorse each paper. Same corpus, a different order for every researcher.

1. Thermal conductivity of ethylene glycol and water mixture based Fe3O4 nanofluid
2. Thermal conductivity and viscosity of stabilized ethylene glycol and water mixture Al2O3 nanofluids for heat transfer applications: An experimental study☆
3. Heat transfer performance and transport properties of ZnO-ethylene glycol and ZnO-ethylene glycol-water nanofluid coolants
4. The effect of particle size on the effective thermal conductivity of Al2O3-water nanofluids
5. Experimental investigation of temperature and volume fraction variations on the effective thermal conductivity of nanoparticle suspensions (nanofluids)
6. Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid
7. The effect of alumina/water nanofluid particle size on thermal conductivity
8. Experimental studies on the convective heat transfer performance and thermophysical properties of MgO–water nanofluid under turbulent flow
9. Study of thermal conductivity of nanofluids for the application of heat transfer fluids
10. Particle shape effects on thermophysical properties of alumina nanofluids

Their papers

• An experimental study on thermal conductivity of MgO nanoparticles suspended in a binary mixture of water and ethylene glycol (2015) — 142 citations
• Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks (2017) — 240 citations
• Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs) (2020) — 140 citations
• Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid (2019) — 197 citations
• Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles (2019) — 150 citations
• Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: Development of a new correlation and modeled by artificial neural network (2016) — 270 citations
• Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network (2016) — 185 citations