Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

Citation(s) in RCA

1
(from Reference Citation Analysis)

Indexed Articles

Ranked By

Results Analysis

Year Published Analysis
Article Type Analysis
Journal Title Analysis
Category Analysis

Results Analysis

Year Published

Show more Refine

Article Statistics

Refine

Publication Titles

Show more Refine

Category

Show more Refine

For: Hemmat Esfe M, Mollamahdi M. Insight into the Rheological Behavior of Hybrid Zinc Oxide and MWCNT Nanoparticles Dispersed in 10W40 Engine Oil: Experimental Study. Arab J Sci Eng 2021. [DOI: 10.1007/s13369-021-06004-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]

For:	Hemmat Esfe M, Mollamahdi M. Insight into the Rheological Behavior of Hybrid Zinc Oxide and MWCNT Nanoparticles Dispersed in 10W40 Engine Oil: Experimental Study. Arab J Sci Eng 2021. [DOI: 10.1007/s13369-021-06004-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]

Number	Cited by Other Article(s)
1	Sepehrnia M, Mohammadzadeh K, Veyseh MM, Agah E, Amani M. Rheological behavior of engine oil based hybrid nanofluid containing MWCNTs and ZnO nanopowders: Experimental analysis, developing a novel correlation, and neural network modeling. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse

Number

Cited by Other Article(s)

Sepehrnia M, Mohammadzadeh K, Veyseh MM, Agah E, Amani M. Rheological behavior of engine oil based hybrid nanofluid containing MWCNTs and ZnO nanopowders: Experimental analysis, developing a novel correlation, and neural network modeling. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]