Xiaowei Wang

Orcid: 0000-0002-4168-4328

Affiliations:
  • Tongji University, Department of Bridge Engineering, Shanghai, China
  • Case Western Reserve University, Department of Civil Engineering, Cleveland, OH, USA (2019-2022)
  • Hohai University, Department of Civil Engineering, China (2018-2019)
  • Tongji University, China (2018)
  • Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, OH, USA (2015-2016)


According to our database1, Xiaowei Wang authored at least 10 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Rapid Lifetime Seismic Risk and Economic Loss Estimation of Aging RC Highway Bridge Portfolios Leveraging Machine Learning.
Dataset, November, 2025

Trained Random Forests Machine Learning Models for Longitudinal Seismic Response Prediction of Highway Bridges.
Dataset, February, 2025

Data Set from Quasi-static Cyclic Tests of Scoured 2×3 Pile-Group Foundations for Bridge Structures.
Dataset, February, 2025

Dataset and machine learning models for post-earthquake residual vertical load-carrying capacity (VLCC) assessment of RC bridge bents.
Dataset, January, 2025

2024
Data Set from Quasi-static Cyclic Tests of Scoured 2×3 Pile-Group Foundations for Bridge Structures.
Dataset, September, 2024

2023
Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs - An earthquake engineering perspective.
Reliab. Eng. Syst. Saf., May, 2023

OpenSeesPyView: Python programming-based visualization and post-processing tool for OpenSeesPy.
SoftwareX, February, 2023

2022
Optimal monitoring location for tracking evolving risks to infrastructure systems: Theory and application to tunneling excavation risk.
Reliab. Eng. Syst. Saf., 2022

Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors.
Reliab. Eng. Syst. Saf., 2022

2021
MATLAB codes for Cloud-IDA-MSA conversion of fragility curves.
Dataset, February, 2021


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