Junfei Zhang 
- (2024): A New Understanding of the Alkali-Silica Reaction Expansion in Concrete Using a Hybrid Ensemble Model. In: Journal of Building Engineering, v. 96 (November 2024).
- (2024): Improvement of strength and microstructure of low-carbon cementitious materials with high volume of calcined coal gangue. In: Construction and Building Materials, v. 444 (September 2024).
- (2024): Understanding the synergistic geopolymerization mechanism of multiple solid wastes in ternary geopolymers. In: Journal of Building Engineering, v. 95 (Oktober 2024).
- (2023): Prediction of concrete strength considering thermal damage using a modified strength-maturity model. In: Construction and Building Materials, v. 400 (Oktober 2023).
- (2024): Accelerated carbonation of steel slag: A review of methods, mechanisms and influencing factors. In: Construction and Building Materials, v. 411 (Januar 2024).
- (2023): Effect of Curing Regime on the Mechanical Properties and Durability of Steam Cured-Concrete. In: Buildings, v. 13, n. 7 (28 Juni 2023).
- (2023): Understanding the effect of high-volume fly ash on micro-structure and mechanical properties of cemented coal gangue paste backfill. In: Construction and Building Materials, v. 378 (Mai 2023).
- (2023): Multi-objective optimization of fly ash-slag based geopolymer considering strength, cost and CO2 emission: A new framework based on tree-based ensemble models and NSGA-II. In: Journal of Building Engineering, v. 68 (Juni 2023).
- (2023): Prediction of seismic acceleration response of precast segmental self-centering concrete filled steel tube single-span bridges based on machine learning method. In: Engineering Structures, v. 279 (März 2023).
- (2023): Mechanical properties of hybrid fiber reinforced ternary-blended alkali-activated materials. In: Construction and Building Materials, v. 366 (Februar 2023).
- (2023): Effect of composition and curing on alkali activated fly ash-slag binders: Machine learning prediction with a random forest-genetic algorithm hybrid model. In: Construction and Building Materials, v. 366 (Februar 2023).
- (2022): Predicting the Geopolymerization Process of Fly-Ash-Based Geopolymer Using Machine Learning. In: Buildings, v. 12, n. 11 (27 Oktober 2022).
- (2021): Accurately predicting dynamic modulus of asphalt mixtures in low-temperature regions using hybrid artificial intelligence model. In: Construction and Building Materials, v. 297 (August 2021).
- (2021): Evaluation of pore size distribution and permeability reduction behavior in pervious concrete. In: Construction and Building Materials, v. 290 (Juli 2021).
- (2021): Potential anti-vibration pavements with damping layer: Finite element (FE) modeling, validation, and parametrical studies. In: Construction and Building Materials, v. 281 (April 2021).
- (2021): The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites. In: Construction and Building Materials, v. 281 (April 2021).
- (2021): A Comprehensive Flexural Analysis for Sustainable Concrete Structure Reinforced by Embedded Parts. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2021): Multi-objective optimisation of a graphite-slag conductive composite applying a BAS-SVR based model. In: Journal of Building Engineering, v. 44 (Dezember 2021).
- (2021): Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Numerical Investigation on Time-Dependent Deformation in Roadway. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
- (2020): Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model. In: Construction and Building Materials, v. 260 (November 2020).
- (2020): Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms. In: Construction and Building Materials, v. 253 (August 2020).
- (2020): Development of an Ensemble Intelligent Model for Assessing the Strength of Cemented Paste Backfill. In: Advances in Civil Engineering, v. 2020 (Januar 2020).
- (2020): A metaheuristic-optimized multi-output model for predicting multiple properties of pervious concrete. In: Construction and Building Materials, v. 249 (Juli 2020).
- (2020): Predicting uniaxial compressive strength of oil palm shell concrete using a hybrid artificial intelligence model. In: Journal of Building Engineering, v. 30 (Juli 2020).
- (2020): Real-time quantification of fresh and hardened mechanical property for 3D printing material by intellectualization with piezoelectric transducers. In: Construction and Building Materials, v. 241 (April 2020).
- (2019): Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model. In: Advances in Civil Engineering, v. 2019 ( 2019).
- (2019): Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression. In: Construction and Building Materials, v. 210 (Juni 2019).
- (2019): Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression. In: Construction and Building Materials, v. 207 (Mai 2019).
- (2018): Mechanical characterization of 3D printed anisotropic cementitious material by the electromechanical transducer. In: Smart Materials and Structures, v. 27, n. 7 (Juli 2018).
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