Ji Dang 
- : SCSHM benchmark study on bridge in-service structural monitoring. In: Journal of Civil Structural Health Monitoring.
- : Deep learning-based bridge damage cause estimation from multiple images using visual question answering. In: Structure and Infrastructure Engineering.
- (2024): Quantum‐enhanced machine learning technique for rapid post‐earthquake assessment of building safety. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 21 (22 Oktober 2024).
- (2024): Stress-Softening Behavior of High-Damping Rubber Bearings at Low Temperatures. In: Journal of Structural Engineering (ASCE), v. 150, n. 6 (Juni 2024).
- : Hybrid simulation tests evaluating the seismic performance of lead high-damping rubber bearings at low temperatures. In: Structure and Infrastructure Engineering.
- (2023): A multi‐layer thermo‐mechanical coupling hysteretic model for high damping rubber bearings at low temperature. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 3 (Dezember 2023).
- (2023): Machine Learning-Based Classification for Rapid Seismic Damage Assessment of Buildings at a Regional Scale. In: Journal of Earthquake Engineering, v. 28, n. 7 (November 2023).
- (2023): Multiclass seismic damage detection of buildings using quantum convolutional neural network. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 3 (August 2023).
- (2023): Seismic damage prediction of RC buildings using machine learning. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (Juni 2023).
- (2023): Dynamic wavelet neural network model for damage features extraction and patterns recognition. In: Journal of Civil Structural Health Monitoring, v. 13, n. 4-5 (April 2023).
- (2023): Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 17 (November 2023).
- (2023): Hysteretic restoring force model of high damping rubber bearings including thermo-mechanical coupled effect. In: Engineering Structures, v. 277 (Februar 2023).
- (2017): Building damage concentrated in Longtoushan town during the 2014 Ms. 6.5 Ludian earthquake, Yunnan, China: examination of cause and implications based on ground motion and vulnerability analyses. In: Journal of Seismology, v. 21, n. 5 (2 April 2017).
- (2022): A Thermo-mechanical Coupled Model of Hysteresis Behavior of HDR Bearings. Vorgetragen bei: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022.
- (2022): Nonlinear Behavior Identification of HDR-S Bearing Using Neural Network for Seismic Structural Design. Vorgetragen bei: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022.
- (2022): Deep learning-based condition assessment for bridge elastomeric bearings. In: Journal of Civil Structural Health Monitoring, v. 12, n. 2 (23 Februar 2022).
- (2022): Machine Learning-Based Fast Seismic Risk Assessment of Building Structures. In: Journal of Earthquake Engineering, v. 26, n. 15 (März 2022).
- (2021): Geometric Attention Regularization Enhancing Convolutional Neural Networks for Bridge Rubber Bearing Damage Assessment. In: Journal of Performance of Constructed Facilities (ASCE), v. 35, n. 5 (Oktober 2021).
- (2021): A modified curve-approximated hysteretic model for partially concrete-filled steel tube bridge piers. In: Journal of Constructional Steel Research, v. 185 (Oktober 2021).
- (2021): Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study. In: Structural Health Monitoring, v. 21, n. 3 (August 2021).
- (2020): Smartphone-Based Bridge Seismic Monitoring System and Long-Term Field Application Tests. In: Journal of Structural Engineering (ASCE), v. 146, n. 2 (Februar 2020).
- (2019): Image processing–based real‐time displacement monitoring methods using smart devices. In: Structural Control and Health Monitoring, v. 27, n. 2 (November 2019).
- (2019): Implications of bidirectional interaction on nonlinear seismic response of steel piers. In: Journal of Constructional Steel Research, v. 160 (September 2019).
- (2014): Behavior of partially concrete-filled steel tube bridge piers under bi-directional seismic excitations. In: Journal of Constructional Steel Research, v. 93 (Februar 2014).
- (2015): Rate Dependent Behavior of High Damping Rubber Bearings in Low Temperature and Rheology Model. Vorgetragen bei: IABSE Conference: Elegance in structures, Nara, Japan, 13-15 May 2015.
- (2018): Development of a smart-device-based vibration-measurement system: Effectiveness examination and application cases to existing structure. In: Structural Control and Health Monitoring, v. 25, n. 3 (März 2018).
- (2013): Experimental study of the seismic behavior of partially concrete-filled steel bridge piers under bidirectional dynamic loading. In: Earthquake Engineering and Structural Dynamics, v. 42, n. 15 (Dezember 2013).
- (2013): Bidirectional loading hybrid tests of square cross-sections of steel bridge piers. In: Earthquake Engineering and Structural Dynamics, v. 42, n. 8 (10 Juli 2013).
- (2017): Multiple-Spring Model for Square-Section Steel Bridge Columns under Bidirectional Seismic Load. In: Journal of Structural Engineering (ASCE), v. 143, n. 5 (Mai 2017).
- (2014): Curve-Approximated Hysteresis Model for Steel Bridge Columns. In: Journal of Structural Engineering (ASCE), v. 140, n. 9 (September 2014).
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