Islamic Azad University of Khomeynishahr
Nom variantlari: IAUKH
- Davlat:
- IR
4
h-indeks
112
Iqtiboslar
51
Asarlar
40
Mualliflar
Vaqt boʻyicha
Vaqt boʻyicha tahlil
Iqtibos sharhi
Yillar boʻyicha nashrlar (ustun) va iqtiboslar (chiziq)
- Nashrlar
- Iqtiboslar
Iqtibos tarixi
Nashr tarixi
h-indeks evolyutsiyasi
Yillar boʻyicha jamlangan h-indeks
Eng koʻp iqtibos qilingan asarlar
- Investigating the effect of functionalized carbon nanotube with COOH group on the drug delivery process of doxorubicin in capillary networks around cancer tumors using molecular dynamics simulation20244 iqtibos
- RETRACTED: Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid20242 iqtibos
- Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II20251 iqtibos
- Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models20251 iqtibos
- The effect of copper oxide nanoparticles on the thermal behavior of silica aerogel/paraffin as a phase change material in a cylindrical channel with molecular dynamics simulation20250 iqtibos
- Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods20250 iqtibos
- Experimental and numerical investigations of an active solar air heater: Energy and exergy analysis and optimization to increase the efficiency20250 iqtibos
- Designing a power transfer system for the investigation of the magnetorheological characteristics of a magnetic fluid20250 iqtibos
- Retraction notice to “Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid” [Case Stud. Therm. Eng. 64 (2024) 105541]20250 iqtibos
- Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review20260 iqtibos