Fei Kang 
- : Exploring the impacts of leader anger expressions on employee boundary-spanning behavior in construction projects. In: Engineering, Construction and Architectural Management.
- (2024): Enhancement of underwater dam crack images using multi-feature fusion. In: Automation in Construction, v. 167 (November 2024).
- (2024): Underwater dam crack image generation based on unsupervised image-to-image translation. In: Automation in Construction, v. 163 (July 2024).
- : Impacts of leader anger expressions on newcomer proactive career behavior and work alienation in the construction industry. In: Engineering, Construction and Architectural Management.
- (2024): Structural identification of concrete dams with ambient vibration based on surrogate-assisted multi-objective salp swarm algorithm. In: Structures, v. 60 (February 2024).
- (2024): How to Foster Relational Behavior in Construction Projects: Direct and Mediating Effects of Contractual Complexity and Regulatory Focus. In: Journal of Construction Engineering and Management, v. 150, n. 4 (April 2024).
- (2024): Intelligent segmentation method for blurred cracks and 3D mapping of width nephograms in concrete dams using UAV photogrammetry. In: Automation in Construction, v. 157 (January 2024).
- (2023): Structural identification of super high arch dams using Gaussian process regression with improved salp swarm algorithm. In: Engineering Structures, v. 286 (July 2023).
- (2023): Displacement prediction model for high arch dams using long short-term memory based encoder-decoder with dual-stage attention considering measured dam temperature. In: Engineering Structures, v. 280 (April 2023).
- (2023): Embedded PZT aggregates for monitoring crack growth and predicting surface crack in reinforced concrete beam. In: Construction and Building Materials, v. 364 (January 2023).
- (2022): Image-based automatic multiple-damage detection of concrete dams using region-based convolutional neural networks. In: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (August 2022).
- (2022): Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction. In: Automation in Construction, v. 143 (November 2022).
- (2022): SSA optimized back propagation neural network model for dam displacement monitoring based on long-term temperature data. In: European Journal of Environmental and Civil Engineering, v. 27, n. 4 (June 2022).
- (2022): Vibration-Based Damage Detection of Arch Dams Using Least-Square Support Vector Machines and Salp Swarm Algorithms. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 6 (August 2022).
- (2022): Combining transaction characteristics and governance mechanisms to suppress opportunism in construction projects: qualitative comparative analysis. In: Engineering, Construction and Architectural Management, v. 30, n. 10 (August 2022).
- (2022): Monitoring and evaluation of the repair quality of concrete cracks using piezoelectric smart aggregates. In: Construction and Building Materials, v. 317 (January 2022).
- (2022): Real-time monitoring of humidity inside concrete structures utilizing embedded smart aggregates. In: Construction and Building Materials, v. 331 (May 2022).
- (2022): Multi-parameter inverse analysis of concrete dams using kernel extreme learning machines-based response surface model. In: Engineering Structures, v. 256 (April 2022).
- (2021): Impacts of task interdependence and equivocality on ICT adoption in the construction industry: a task-technology fit view. In: Architectural Engineering and Design Management, v. 19, n. 1 (February 2021).
- (2021): Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction. In: Automation in Construction, v. 130 (October 2021).
- (2019): Temperature effect modeling in structural health monitoring of concrete dams using kernel extreme learning machines. In: Structural Health Monitoring, v. 19, n. 4 (September 2019).
- (2021): Concrete arch dam behavior prediction using kernel-extreme learning machines considering thermal effect. In: Journal of Civil Structural Health Monitoring, v. 11, n. 2 (January 2021).
- (2020): Displacement Model for Concrete Dam Safety Monitoring via Gaussian Process Regression Considering Extreme Air Temperature. In: Journal of Structural Engineering (ASCE), v. 146, n. 1 (January 2020).
- (2009): Structural inverse analysis by hybrid simplex artificial bee colony algorithms. In: Computers & Structures, v. 87, n. 13-14 (July 2009).
- (2016): Artificial Bee Colony Algorithm Optimized Support Vector Regression for System Reliability Analysis of Slopes. In: Journal of Computing in Civil Engineering, v. 30, n. 3 (May 2016).
- (2017): Concrete dam deformation prediction model for health monitoring based on extreme learning machine. In: Structural Control and Health Monitoring, v. 24, n. 10 (October 2017).
- (2011): Risk analysis of dam based on artificial bee colony algorithm with fuzzy c-means clustering. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 38, n. 5 (May 2011).
- (2019): Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation. In: Engineering Structures, v. 180 (February 2019).
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