Jiajun Wang 
- (2024): CO2-Cured Fiber-Reinforced Board from Low-Calcium Clinker: Key Synthesizing Factors, Carbonation Products, and Comparison to Autoclaved Calcium Silicate Board. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 7 (Juli 2024).
- (2023): An enhanced multiobjective bacterial foraging algorithm for the compaction parameter optimization of earth-rock dams. In: Construction and Building Materials, v. 394 (August 2023).
- (2023): Occlusion-aware particle size distribution detection of gravel material based on the improved Bilayer Convolutional Network. In: Construction and Building Materials, v. 404 (November 2023).
- (2024): Pixel-wise annotated and high-quality synthesized image datasets for semi-supervised truck segmentation with limited raw images. In: Automation in Construction, v. 158 (Februar 2024).
- (2023): Deep learning seismic damage assessment with embedded signal denoising considering three-dimensional time–frequency feature correlation. In: Engineering Structures, v. 286 (Juli 2023).
- (2022): Towards comfortable and cost-effective indoor temperature management in smart homes: A deep reinforcement learning method combined with future information. In: Energy and Buildings, v. 275 (November 2022).
- (2022): Hybrid 1D-CNN and attention-based Bi-GRU neural networks for predicting moisture content of sand gravel using NIR spectroscopy. In: Construction and Building Materials, v. 350 (Oktober 2022).
- (2022): Dynamic hyperparameter tuning-based path tracking control for robotic rollers working on earth-rock dam under complex construction conditions. In: Automation in Construction, v. 143 (November 2022).
- (2022): Improved extreme learning machine-based dam deformation prediction considering the physical and hysteresis characteristics of the deformation sequence. In: Journal of Civil Structural Health Monitoring, v. 12, n. 5 (Juli 2022).
- (2021): The equipment detection and localization of large-scale construction jobsite by far-field construction surveillance video based on improving YOLOv3 and grey wolf optimizer improving extreme learning machine. In: Construction and Building Materials, v. 291 (Juli 2021).
- (2022): Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet. In: Journal of Construction Engineering and Management, v. 148, n. 7 (Juli 2022).
- (2022): Effective compaction power index for real-time compaction quality assessment of coarse-grained geomaterials: Proposal and comparative study. In: Construction and Building Materials, v. 321 (Februar 2022).
- (2022): Robust optimization of rolling parameters of coarse aggregates based on improved response surface method using satisfaction function method based on entropy and adaptive chaotic gray wolf optimization. In: Construction and Building Materials, v. 316 (Januar 2022).
- (2022): Vision-Based Productivity Analysis of Cable Crane Transportation Using Augmented Reality–Based Synthetic Image. In: Journal of Computing in Civil Engineering, v. 36, n. 1 (Januar 2022).
- (2021): Dynamic interpretation of the factors causing dam deformation with hybrid grey dynamic incidence model. In: Engineering Structures, v. 242 (September 2021).
- (2020): Patch-based weakly supervised semantic segmentation network for crack detection. In: Construction and Building Materials, v. 258 (Oktober 2020).
- (2021): Real-time monitoring for vibration quality of fresh concrete using convolutional neural networks and IoT technology. In: Automation in Construction, v. 123 (März 2021).
- (2020): An improved extreme gradient boosting approach to vehicle speed prediction for construction simulation of earthwork. In: Automation in Construction, v. 119 (November 2020).
- (2019): Hybrid Grey Wolf Optimization Algorithm–Based Support Vector Machine for Groutability Prediction of Fractured Rock Mass. In: Journal of Computing in Civil Engineering, v. 33, n. 2 (März 2019).
- (2018): Evaluation of Compaction Quality Based on SVR with CFA: Case Study on Compaction Quality of Earth-Rock Dam. In: Journal of Computing in Civil Engineering, v. 32, n. 3 (Mai 2018).
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