Haibo Hu 
- : Predicting the strut forces of the steel supporting structure of deep excavation considering various factors by machine learning methods. Dans: Underground Space.
- (2023): Machine learning models for predicting rock fracture toughness at different temperature conditions. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).
- (2022): Analysis of Factors Influencing the Job Satisfaction of New Generation of Construction Workers in China: A Study Based on DEMATEL and ISM. Dans: Buildings, v. 12, n. 5 (24 avril 2022).
- (2020): Numerical study on full-field stress evolution and acoustic emission characteristics of rocks containing three parallel pre-existing flaws under uniaxial compression. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 1 (novembre 2020).
- (2021): Research on Corrosion Damage and Bearing Characteristics of Bridge Pile Foundation Concrete under a Dry-Wet-Freeze-Thaw Cycle. Dans: Advances in Civil Engineering, v. 2021 (janvier 2021).
- (2020): The Horizontal Bearing Capacity of Composite Concrete-Filled Steel Tube Piles. Dans: Advances in Civil Engineering, v. 2020 (janvier 2020).
- (2019): Experiments on Reducing Negative Skin Friction of Piles. Dans: Advances in Civil Engineering, v. 2019 ( 2019).
- (2013): Bearing capacity of reactive powder concrete reinforced by steel fibers. Dans: Construction and Building Materials, v. 48 (novembre 2013).
- (2015): Bearing capacity of steel fiber reinforced reactive powder concrete confined by spirals. Dans: Materials and Structures, v. 48, n. 8 (août 2015).
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