《Structural Health Monitoring-an International Journal》重点专注发布工程技术-工程:综合领域的新研究,旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。根据网友分享的投稿经验,平均审稿速度为 较慢,6-12周 。该杂志创刊至今,在工程技术-工程:综合领域,影响力非凡,对来稿文章质量要求很高,稿件投稿过审难度很大,刊登文章的学术水平和编辑质量在同类杂志中均名列前茅。如果你想在该杂志上发表论文,你可以向编辑部提交文章,但文章必须具有重要意义并代表该领域专业的发展。我们欢迎广大同领域的研究者提交投稿。
CiteScore | SJR | SNIP | CiteScore排名 | |||
---|---|---|---|---|---|---|
12.8 | 1.874 | 2.443 | 学科类别 | 分区 | 排名 | 百分位 |
大类:大类:Engineering
小类:小类:MechanicalEngineering
|
Q1 | 28/672 | 95% | |||
大类:大类:Engineering
小类:小类:Biophysics
|
Q1 | 8/152 | 95% |
按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
---|---|---|---|---|
学科:ENGINEERING, MULTIDISCIPLINARY | SCIE | Q1 | 15 / 179 | 91.9% |
学科:INSTRUMENTS & INSTRUMENTATION | SCIE | Q1 | 8 / 76 | 90.1% |
按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
---|---|---|---|---|
学科:ENGINEERING, MULTIDISCIPLINARY | SCIE | Q1 | 16 / 180 | 91.39% |
学科:INSTRUMENTS & INSTRUMENTATION | SCIE | Q1 | 5 / 76 | 94.08% |
文章名称
引用次数
Computer vision and deep learning-based data anomaly detection method for structural health monitoring
37
Structural health monitoring: Closing the gap between research and industrial deployment
35
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
33
Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning
30
Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection
28
Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges
21
Interfacial debonding detection in fiber-reinforced polymer rebar-reinforced concrete using electro-mechanical impedance technique
21
Optimization of sensor placement for structural health monitoring: a review
21
A novel deep learning-based method for damage identification of smart building structures
20
Guided wave excitation and propagation in damped composite plates
17
国家/地区
发文量
TCHINA MAINLAND
163
TUSA
120
TEngland
43
TAustralia
39
TSouth Korea
35
TItaly
21
TIndia
19
TGERMANY (FED REP GER)
16
TCanada
14
TFrance
14





