Quantitative structure–activity relationship model for prediction study of corrosion inhibition efficiency using two‐stage sparse multiple linear regression
By A. M. Al-Fakih, Zakariya Yahya Algamal, Muhammad Hisyam Lee, Hassan H. Abdallah, Hasmerya Maarof, M. Aziz. 2016
50 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Materials Chemistry, Metals and Alloys
View Paper: https://www.semanticscholar.org/paper/078e2aa7522cc47cd42bc08129b755ccdd6ec01a
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In Civil and Structural Engineering
In Materials Chemistry
In Metals and Alloys
Citations in the corpus
- Amino acids and their derivatives as corrosion inhibitors for metals and alloys (2017, methodology): “In other hand, by combining of some reactivity indictors obtained from those computational methods and statistical tools, several researchers (Al-Fakih et al., 2016; Aouniti et al., 2013; Eddy et al., 2011b, 2011c; Gece and Bilgiç, 2010; Gece et al., 2010; Khaled and El-Sherik, 2013; Zhao et al., 20”
- Shrinkage estimators for gamma regression model (2018, methodology): “…and Lee, 2017a,b; Algamal and Ali, 2017b,a; Kahya et al., 2017a; Algamal, 2008; Algamal and Lee, 2015a,b,c; Algamal et al., 2017b; Kahya et al., 2017b; Al-Fakih et al., 2015; Algamal et al., 2017a, 2016b, 2015, 2016a; Algamal, 2011; Algamal and Allyas, 2017; Al-Fakih et al., 2016; Algamal, 2017).”