Youjin Jang 
- (2025): Vehicle intrusion detection in highway work zones using inertial sensors and lightweight deep learning. Dans: Automation in Construction, v. 176 (août 2025).
- (2024): Risk Evaluation of Radioactive Concrete Structure Decommissioning in Nuclear Power Plants Using Fuzzy-AHP. Dans: Buildings, v. 14, n. 6 (19 juin 2024).
- (2024): Investigating effects of indoor temperature and lighting on university students’ learning performance considering sensation, comfort, and physiological responses. Dans: Building and Environment, v. 253 (avril 2024).
- (2024): Analyzing Trust Dynamics in Human–Robot Collaboration through Psychophysiological Responses in an Immersive Virtual Construction Environment. Dans: Journal of Computing in Civil Engineering, v. 38, n. 4 (juillet 2024).
- (2024): Edge AI-Enabled Road Fixture Monitoring System. Dans: Buildings, v. 14, n. 5 (24 avril 2024).
- (2023): Personalized optimal room temperature and illuminance for maximizing occupant's mental task performance using physiological data. Dans: Journal of Building Engineering, v. 78 (novembre 2023).
- (2023): Impact of COVID-19 on Social and Psychological Well-Being of Workers in Construction Projects: A Comparative Analysis of Managers and Laborers. Dans: Buildings, v. 13, n. 8 (2 août 2023).
- (2021): Identifying the Perception Differences of Emerging Construction-Related Technologies between Industry and Academia to Enable High Levels of Collaboration. Dans: Journal of Construction Engineering and Management, v. 147, n. 10 (octobre 2021).
- (2021): Identifying impact of variables in deep learning models on bankruptcy prediction of construction contractors. Dans: Engineering, Construction and Architectural Management, v. 28, n. 10 (février 2021).
- (2021): Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces. Dans: Journal of Computing in Civil Engineering, v. 35, n. 3 (mai 2021).
- (2020): Classifying the Business Model Types of International Construction Contractors. Dans: Journal of Construction Engineering and Management, v. 146, n. 6 (juin 2020).
- (2020): Business Failure Prediction of Construction Contractors Using a LSTM RNN with Accounting, Construction Market, and Macroeconomic Variables. Dans: Journal of Management in Engineering (ASCE), v. 36, n. 2 (mars 2020).
- (2020): Maintenance cost prediction for aging residential buildings based on case-based reasoning and genetic algorithm. Dans: Journal of Building Engineering, v. 28 (mars 2020).
- (2019): Predicting Business Failure of Construction Contractors Using Long Short-Term Memory Recurrent Neural Network. Dans: Journal of Construction Engineering and Management, v. 145, n. 11 (novembre 2019).
- (2019): International Diversification and Performance of Construction Companies: Moderating Effect of Regional, Product, and Industry Diversifications. Dans: Journal of Management in Engineering (ASCE), v. 35, n. 5 (septembre 2019).
- (2019): Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images. Dans: Journal of Computing in Civil Engineering, v. 33, n. 3 (mai 2019).
- (2012): Application of knowledge management technologies in Korean small and medium-sized construction companies. Dans: KSCE Journal of Civil Engineering, v. 17, n. 1 (mai 2012).
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