Limao Zhang 
- (2024): Enhancing resilience of urban underground space under floods: Current status and future directions. In: Tunnelling and Underground Space Technology, v. 147 (May 2024).
- (2023): Online multi-objective optimization for tunnel boring machine segment assembly considering stress concentration. In: Automation in Construction, v. 156 (December 2023).
- (2023): LOD2 for energy simulation (LOD2ES) for CityGML: A novel level of details model for IFC-based building features extraction and energy simulation. In: Journal of Building Engineering, v. 78 (November 2023).
- (2024): Online multi-objective optimization for real-time TBM attitude control with spatio-temporal deep learning model. In: Automation in Construction, v. 158 (February 2024).
- (2024): Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties. In: Automation in Construction, v. 157 (January 2024).
- (2023): Modified boosting and bagging for building tilt rate prediction in tunnel construction. In: Automation in Construction, v. 155 (November 2023).
- (2022): Impacts of climate change on long-term reliability of reinforced concrete structures due to chloride ingress. In: Construction and Building Materials, v. 354 (November 2022).
- (2022): Multi-objective optimization for improved project management: Current status and future directions. In: Automation in Construction, v. 139 (July 2022).
- (2022): Improved Workflow for Precast Element Design Based on BIM and Lean Construction. In: Journal of Construction Engineering and Management, v. 148, n. 8 (August 2022).
- (2022): Effect of non-Gaussian turbulence on extreme buffeting response of a high-speed railway sea-crossing bridge. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 224 (May 2022).
- (2022): Mitigating tunnel-induced damages using deep neural networks. In: Automation in Construction, v. 138 (June 2022).
- (2022): An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds. In: Automation in Construction, v. 137 (May 2022).
- (2022): Impacts of green certification programs on energy consumption and GHG emissions in buildings: A spatial regression approach. In: Energy and Buildings, v. 256 (February 2022).
- (2022): Large-scale 3D point-cloud semantic segmentation of urban and rural scenes using data volume decomposition coupled with pipeline parallelism. In: Automation in Construction, v. 133 (January 2022).
- (2022): Multi-source information fusion for automated post-disaster building damage evaluation using deep neural network. In: Sustainable Cities and Society, v. 77 (February 2022).
- (2021): Legal Risk Assessment Framework for International PPP Projects Based on Metanetwork. In: Journal of Construction Engineering and Management, v. 147, n. 8 (August 2021).
- (2021): A hybrid approach for investigating impacts of leadership dynamics on project performance. In: Engineering, Construction and Architectural Management, v. 29, n. 5 (June 2021).
- (2020): Linking project complexity to project success: a hybrid SEM–FCM method. In: Engineering, Construction and Architectural Management, v. 27, n. 9 ( 2020).
- (2021): Exploring multi-level motivations towards green design practices: A system dynamics approach. In: Sustainable Cities and Society, v. 64 (January 2021).
- (2021): Multi-objective optimization in tunnel line alignment under uncertainty. In: Automation in Construction, v. 122 (February 2021).
- (2017): An integrated simulation and optimization approach for reducing CO 2 emissions from on-site construction process in cold regions. In: Energy and Buildings, v. 138 (March 2017).
- (2015): How to protect historical buildings against tunnel-induced damage: A case study in China. In: Journal of Cultural Heritage, v. 16, n. 6 (November 2015).
- (2013): A novel model for risk assessment of adjacent buildings in tunneling environments. In: Building and Environment, v. 65 (July 2013).
- (2016): Perceiving Interactions on Construction Safety Behaviors: Workers’ Perspective. In: Journal of Management in Engineering (ASCE), v. 32, n. 5 (September 2016).
- (2019): Optimal Strategy to Mitigate Tunnel-Induced Settlement in Soft Soils: Simulation Approach. In: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (October 2019).
- (2019): Hybrid BN Approach to Analyzing Risk in Tunnel-Induced Bridge Damage. In: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 5 (October 2019).
- (2017): Performing Global Uncertainty and Sensitivity Analysis from Given Data in Tunnel Construction. In: Journal of Computing in Civil Engineering, v. 31, n. 6 (November 2017).
- (2017): Global Sensitivity Analysis of Tunnel-Induced Building Movements by a Precise Metamodel. In: Journal of Computing in Civil Engineering, v. 31, n. 5 (September 2017).
- (2017): Intelligent Approach to Estimation of Tunnel-Induced Ground Settlement Using Wavelet Packet and Support Vector Machines. In: Journal of Computing in Civil Engineering, v. 31, n. 2 (March 2017).
- (2017): Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach. In: Automation in Construction, v. 73 (January 2017).
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