If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Pingbo Tang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Lasers Engineering & Materials Science
Scour Engineering & Materials Science
Outages Engineering & Materials Science
Scanning Engineering & Materials Science
Planning Engineering & Materials Science
Monitoring Engineering & Materials Science
Inspection Engineering & Materials Science
Productivity Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

1 Citation (Scopus)

Applying crowdsourcing techniques in urban planning: A bibliometric analysis of research and practice prospects

Liao, P., Wan, Y., Tang, P., Wu, C., Hu, Y. & Zhang, S., Nov 1 2019, In : Cities. 94, p. 33-43 11 p.

Research output: Contribution to journalArticle

urban planning
decision making
planning method
planning methods
2 Citations (Scopus)

Bridge scour identification and field application based on ambient vibration measurements of superstructures

Xiong, W., Cai, C. S., Kong, B., Zhang, X. & Tang, P., May 1 2019, In : Journal of Marine Science and Engineering. 7, 5, 121.

Research output: Contribution to journalArticle

Open Access
Vibration measurement
Natural frequencies
3 Citations (Scopus)

Comparative analysis of machine learning and point-based algorithms for detecting 3D changes in buildings over time using bi-temporal lidar data

Shirowzhan, S., Sepasgozar, S. M. E., Li, H., Trinder, J. & Tang, P., Sep 1 2019, In : Automation in Construction. 105, 102841.

Research output: Contribution to journalArticle

Learning systems
Support vector machines
Maximum likelihood

Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety

Wang, Y., Liao, P. C., Zhang, C., Ren, Y., Sun, X. & Tang, P., Oct 2019, In : Advanced Engineering Informatics. 42, 101001.

Research output: Contribution to journalArticle

Computer vision
Bayesian networks

Knowledge-based registration for reliable correlated change detection on high-pier curved continuous rigid frame bridge

Sun, Z., Shi, Y., Xiong, W. & Tang, P., Jan 1 2019, In : CEUR Workshop Proceedings. 2394

Research output: Contribution to journalConference article

Bridge piers

Projects 2013 2022