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Structural Health Monitoring Techniques
TopicLeading institutions, researchers & key papers
This cluster of papers covers advancements in structural health monitoring techniques, including vibration-based damage identification, wireless sensor networks, modal identification, structural damage detection, model updating, Bayesian system identification, deep learning applications, sensor networks, environmental effects, and nonlinear dynamics.
76
Works
IDs:OpenAlex
How has Structural Health Monitoring Techniques's publication output changed over time?
ScholarIQpublication output · 2005–2024
Output declined50% over the shown period — from 2 works in 2005 to 1 in 2024.
2
1
2
1
1
1
2
1
1
1
2005200720092013201520172018202120222024
What are the most-cited papers on Structural Health Monitoring Techniques?
ScholarIQmost cited works
Correlating modal properties with temperature using long-term monitoring data and support vector machine technique
Yi‐Qing Ni, Xugang Hua, Ke Fan, J.M. Ko
S165454098. 2005300 Citations
Background Information of Deep Learning for Structural Engineering
Seunghye Lee, Jin-gwan Ha, Mehriniso Zokhirova, Hyeonjoon Moon, Jaehong Lee
S65486112. 2017145 Citations
Mechanical systems hazard estimation using condition monitoring
Yong Sun, Lin Ma, Joseph Mathew, Wenyi Wang, Sheng Zhang
S128368299. 200499 Citations
Vibration-Based Loosening Detection of a Multi-Bolt Structure Using Machine Learning Algorithms
Oybek Eraliev, Kwang-Hee Lee, Chul-Hee Lee
Sensors. 202249 CitationsOPEN ACCESS
Detection of delamination between steel bars and concrete using embedded piezoelectric actuators/sensors
Xinqun Zhu, Hong Hao, Ke Fan
S2764927368. 201345 Citations
Where is Structural Health Monitoring Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Structural Health Monitoring Techniques is open access?
ScholarIQopen access share
13%OPEN ACCESS
Gold
7%
Green
7%
Hybrid
0%
Bronze
0%
Closed
87%
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