Shape Memory Alloy Transformations
Shape Memory Alloy Transformations is a research topic within Materials Chemistry. Science Explorer counts 20k research works in it since 1952. 9.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the physical metallurgy, properties, and applications of shape memory alloys, particularly emphasizing martensitic transformation, magnetic field-induced strain, elastocaloric effect, and the microstructure of these materials. It covers a wide range of topics including biomedical applications, additive manufacturing, and metamagnetic shape memory alloys.
- Shape Memory Alloys
- Martensitic Transformation
- Magnetic Field Induced Strain
- Metamagnetic Shape Memory Alloys
- Elastocaloric Effect
- Ferromagnetic Shape Memory Alloys
- Giant Magnetocaloric Effect
- Microstructure
- Biomedical Applications
- Additive Manufacturing
- Research works
- 20k fractional, since 1952
- In the world top 10%
- 1.9k per year above
- Top-10% rate
- 9.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +6% the tick is no change
Which countries lead Shape Memory Alloy Transformations research?
By volume, China and the United States publish the most (1,000 and 256 works in 2022–2025).
By volume, 2022–2025
- 1 China 1,000 works
- 2 United States 256 works
- 3 India 253 works
- 4 Russia 218 works
- 5 Germany 165 works
- 6 Japan 128 works
- 7 Italy 82 works
- 8 Türkiye 73 works
- 9 South Korea 65 works
- 10 France 58 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 Shape Memory Alloy Transformations research?
By volume in 2022–2025, Harbin Institute of Technology publishes the most Shape Memory Alloy Transformations research, followed by National Research Tomsk State University and Northwestern Polytechnical University.
By volume, 2022–2025
- 1 Harbin Institute of TechnologyChina 43 works
- 2 National Research Tomsk State UniversityRussia 32 works
- 3 Northwestern Polytechnical UniversityChina 32 works
- 4 Xi'an Jiaotong UniversityChina 29 works
- 5 Southwest Jiaotong UniversityChina 24 works
- 6 Texas A&M UniversityUnited States 23 works
- 7 Sichuan UniversityChina 23 works
- 8 Harbin Engineering UniversityChina 23 works
- 9 Northeastern UniversityChina 23 works
- 10 South China University of TechnologyChina 21 works
Who are the leading researchers in Shape Memory Alloy Transformations?
The most-cited researchers publishing on Shape Memory Alloy Transformations include Dierk Raabe, Paul K. Chu and Terence G. Langdon.
- 1 Dierk Raabe Germany 4.5k citations
- 2 Paul K. Chu Hong Kong 3.7k citations
- 3 Terence G. Langdon United States 3k citations
- 4 J. N. Reddy United States 2.9k citations
- 5 Claudia Felser Germany 2.7k citations
- 6 J. Eckert Germany 2.7k citations
- 7 Long‐Qing Chen United States 2.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Shape Memory Alloy Transformations research done?
The largest centres of Shape Memory Alloy Transformations research in 2022–2025 are Beijing (China), Xi'an (China), Harbin (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Tomsk and Saarbrücken.
Largest cities, 2022–2025
Where it is the local speciality
- TomskRU · 37.6 works25×
- SaarbrückenDE · 21.4 works21×
Location quotient: how much more of its research is in Shape Memory Alloy Transformations than the world average.
Where is the best place to study Shape Memory Alloy Transformations?
Among universities, judged by research, Southwest Jiaotong University, University of Toledo and Harbin Institute of Technology 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 | Southwest Jiaotong UniversityChina | 70.4 | 17.9% | 10.7× | 24 | +171.4% |
| 2 | University of ToledoUnited States | 62.2 | 30.7% | 22.2× | 12 | -39.6% |
| 3 | Harbin Institute of TechnologyChina | 61.0 | 12.5% | 8.8× | 42 | +44.0% |
| 4 | National Research Tomsk State UniversityRussia | 60.4 | 1.0% | 57.9× | 32 | +250.0% |
| 5 | Hong Kong University of Science and TechnologyHong Kong | 59.7 | 20.5% | 9.9× | 11 | -16.5% |
| 6 | National Institute of Technology RourkelaIndia | 59.1 | 25.2% | 14.7× | 10 | — |
| 7 | Northeastern UniversityChina | 58.4 | 12.4% | 8.9× | 23 | +129.4% |
| 8 | Xi'an Jiaotong UniversityChina | 58.0 | 17.0% | 6.1× | 29 | +126.8% |
| 9 | Tongji UniversityChina | 57.1 | 27.1% | 4.7× | 18 | +105.1% |
| 10 | Northwestern Polytechnical UniversityChina | 55.7 | 8.1% | 9.4× | 32 | +53.4% |
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 Shape Memory Alloy Transformations research growing?
Output in 2018–2022 was 6% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Shape Memory Alloy Transformations.
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.