Babatunde Abiodun Salami 
- (2024): Exploring the interrelationships between composition, rheology, and compressive strength of self-compacting concrete: An exploration of explainable boosting algorithms. In: Case Studies in Construction Materials, v. 20 (Juli 2024).
- (2023): Microencapsulated phase change materials for enhanced thermal energy storage performance in construction materials: A critical review. In: Construction and Building Materials, v. 401 (Oktober 2023).
- (2023): Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).
- (2023): Graphene-based concrete: Synthesis strategies and reinforcement mechanisms in graphene-based cementitious composites (Part 1). In: Construction and Building Materials, v. 396 (September 2023).
- (2024): GPT models in construction industry: Opportunities, limitations, and a use case validation. In: Developments in the Built Environment, v. 17 (März 2024).
- (2023): Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).
- (2023): Evaluating mechanical, microstructural and durability performance of seawater sea sand concrete modified with silica fume. In: Journal of Building Engineering, v. 72 (August 2023).
- (2023): An overview of factors influencing the properties of concrete incorporating construction and demolition wastes. In: Construction and Building Materials, v. 367 (Februar 2023).
- (2022): A review on the durability performance of alkali-activated binders subjected to chloride-bearing environment. In: Construction and Building Materials, v. 317 (Januar 2022).
- (2021): Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network. In: Journal of Structural Integrity and Maintenance, v. 6, n. 4 (15 September 2021).
- (2021): Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach. In: Construction and Building Materials, v. 301 (September 2021).
- (2021): Assessment of acid resistance of natural pozzolan-based alkali-activated concrete: Experimental and optimization modelling. In: Construction and Building Materials, v. 304 (Oktober 2021).
- (2019): Modelling the early strength of alkali-activated cement composites containing palm oil fuel ash. In: Proceedings of the Institution of Civil Engineers - Construction Materials, v. 172, n. 3 (Juni 2019).
- (2019): Influence of composition and concentration of alkaline activator on the properties of natural-pozzolan based green concrete. In: Construction and Building Materials, v. 201 (März 2019).
- (2016): Impact of added water and superplasticizer on early compressive strength of selected mixtures of palm oil fuel ash-based engineered geopolymer composites. In: Construction and Building Materials, v. 109 (April 2016).
- (2017): Durability performance of Palm Oil Fuel Ash-based Engineered Alkaline-activated Cementitious Composite (POFA-EACC) mortar in sulfate environment. In: Construction and Building Materials, v. 131 (Januar 2017).
- (2017): POFA-Engineered Alkali-activated Cementitious Composite Performance in Acid Environment. In: Journal of Advanced Concrete Technology, v. 15, n. 11 ( 2017).
- (2018): Impact of Al(OH)3 addition to POFA on the compressive strength of POFA alkali-activated mortar. In: Construction and Building Materials, v. 190 (November 2018).
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