Hanwen Ju 
- (2024): Automatic Modal Frequency Identification of Bridge Cables under Influence of Abnormal Monitoring Data. In: Journal of Performance of Constructed Facilities (ASCE), v. 38, n. 6 (Dezember 2024).
- : Predicting Structural Temperature of Ancient City Walls: A Case Study Using Ambient Temperature and Deep Learning. In: International Journal of Architectural Heritage.
- (2024): An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data. In: Engineering Structures, v. 310 (Juli 2024).
- (2024): Abnormal data detection for structural health monitoring: State-of-the-art review. In: Developments in the Built Environment, v. 17 (März 2024).
- (2024): Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network. In: International Journal of Architectural Heritage, v. 18, n. 3 (Dezember 2024).
- (2023): Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information. In: Structural Health Monitoring, v. 22, n. 5 (Februar 2023).
- (2022): Correlation model of deflection, vehicle load, and temperature for in‐service bridge using deep learning and structural health monitoring. In: Structural Control and Health Monitoring, v. 29, n. 12 (5 Oktober 2022).
- (2024): Investigation on fatigue cracks of diaphragm cutout in bridge orthotropic steel deck. In: Structure and Infrastructure Engineering, v. 20, n. 5 (Januar 2024).
Structurae kooperiert mit
