Structural Health Monitoring Techniques
Structural Health Monitoring Techniques is a research topic within Civil and Structural Engineering. Science Explorer counts 74k research works in it since 1950. 20.5% of them reached the world's top 10% most cited for their field and year.
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.
- Vibration-based Damage Identification
- Wireless Sensors
- Modal Identification
- Structural Damage Detection
- Model Updating
- Bayesian System Identification
- Deep Learning Applications
- Sensor Networks
- Environmental Effects
- Nonlinear Dynamics
- Research works
- 74k fractional, since 1950
- In the world top 10%
- 15k per year above
- Top-10% rate
- 20.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +24% the tick is no change
Which countries lead Structural Health Monitoring Techniques research?
By volume, China and the United States publish the most (5.2k and 1.2k works in 2022–2025).
By volume, 2022–2025
- 1 China 5.2k works
- 2 United States 1.2k works
- 3 Italy 872 works
- 4 India 782 works
- 5 Japan 484 works
- 6 Germany 464 works
- 7 United Kingdom 463 works
- 8 South Korea 334 works
- 9 Iran 306 works
- 10 France 305 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Structural Health Monitoring Techniques research?
By volume in 2022–2025, Tongji University publishes the most Structural Health Monitoring Techniques research, followed by Southeast University and Dalian University of Technology.
By volume, 2022–2025
- 1 Tongji UniversityChina 193 works
- 2 Southeast UniversityChina 136 works
- 3 Dalian University of TechnologyChina 136 works
- 4 Harbin Institute of TechnologyChina 131 works
- 5 Politecnico di MilanoItaly 121 works
- 6 Southwest Jiaotong UniversityChina 97 works
- 7 Chongqing UniversityChina 96 works
- 8 Nanjing University of Aeronautics and AstronauticsChina 92 works
- 9 Xi'an Jiaotong UniversityChina 90 works
- 10 Northwestern Polytechnical UniversityChina 86 works
Who are the leading researchers in Structural Health Monitoring Techniques?
The most-cited researchers publishing on Structural Health Monitoring Techniques include Norden E. Huang, Georgios B. Giannakis and Richard G. Baraniuk.
- 1 Norden E. Huang United States 5.4k citations
- 2 Georgios B. Giannakis United States 4.6k citations
- 3 Richard G. Baraniuk United States 4.4k citations
- 4 Jerry M. Mendel United States 4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Structural Health Monitoring Techniques research done?
The largest centres of Structural Health Monitoring Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ancona.
Largest cities, 2022–2025
Where it is the local speciality
- AnconaIT · 25.7 works8.7×
Location quotient: how much more of its research is in Structural Health Monitoring Techniques than the world average.
Where is the best place to study Structural Health Monitoring Techniques?
Among universities, judged by research, Politecnico di Milano, Tongji University and Politecnico di Torino score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Politecnico di MilanoItaly | 65.4 | 25.6% | 12.5× | 121 | +23.7% |
| 2 | Tongji UniversityChina | 64.6 | 22.9% | 11.0× | 193 | +13.4% |
| 3 | Politecnico di TorinoItaly | 60.9 | 22.3% | 12.3× | 77 | +24.3% |
| 4 | Beijing University of Civil Engineering and ArchitectureChina | 60.6 | 20.9% | 15.3× | 29 | +184.4% |
| 5 | Hong Kong Polytechnic UniversityHong Kong | 59.4 | 32.6% | 6.4× | 76 | -32.3% |
| 6 | Curtin UniversityAustralia | 59.3 | 42.1% | 3.7× | 16 | +237.2% |
| 7 | Dalian University of TechnologyChina | 59.0 | 20.7% | 10.4× | 136 | -12.4% |
| 8 | Southeast UniversityChina | 58.8 | 24.5% | 7.4× | 136 | +40.8% |
| 9 | OsloMet – Oslo Metropolitan UniversityNorway | 57.9 | 50.5% | 6.6× | 8 | — |
| 10 | Southwest Jiaotong UniversityChina | 56.7 | 20.7% | 9.1× | 96 | +27.9% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Structural Health Monitoring Techniques research growing?
Output in 2018–2022 was 24% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Structural Health Monitoring Techniques.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.