Advanced Image Fusion Techniques
Advanced Image Fusion Techniques is a research topic within Media Technology. Science Explorer counts 29k research works in it since 1952. 19.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the fusion of multispectral and hyperspectral images using techniques such as wavelet transform, sparse representation, convolutional neural networks, and pansharpening. The research covers methods for remote sensing, image quality assessment, and applications in fields such as medical imaging.
- Image Fusion
- Multispectral
- Hyperspectral
- Wavelet Transform
- Sparse Representation
- Convolutional Neural Network
- Pansharpening
- Remote Sensing
- Directional Transform
- Quality Metric
- Research works
- 29k fractional, since 1952
- In the world top 10%
- 5.5k per year above
- Top-10% rate
- 19.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +44% the tick is no change
Which countries lead Advanced Image Fusion Techniques research?
By volume, China and India publish the most (4.9k and 924 works in 2022–2025).
By volume, 2022–2025
- 1 China 4.9k works
- 2 India 924 works
- 3 United States 281 works
- 4 South Korea 113 works
- 5 Russia 106 works
- 6 France 94 works
- 7 United Kingdom 92 works
- 8 Japan 84 works
- 9 Türkiye 78 works
- 10 ?? 77 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 Advanced Image Fusion Techniques research?
By volume in 2022–2025, Xidian University publishes the most Advanced Image Fusion Techniques research, followed by Wuhan University and Chinese Academy of Sciences.
By volume, 2022–2025
- 1 Xidian UniversityChina 116 works
- 2 Wuhan UniversityChina 98 works
- 3 Chinese Academy of SciencesChina 90 works
- 4 Northwestern Polytechnical UniversityChina 86 works
- 5 Beijing Institute of TechnologyChina 78 works
- 6 Nanjing University of Science and TechnologyChina 68 works
- 7 Harbin Institute of TechnologyChina 62 works
- 8 University of Electronic Science and Technology of ChinaChina 61 works
- 9 National University of Defense TechnologyChina 54 works
- 10 Beihang UniversityChina 49 works
Who are the leading researchers in Advanced Image Fusion Techniques?
The most-cited researchers publishing on Advanced Image Fusion Techniques include Wei Liu, Luc Van Gool and Ming–Hsuan Yang.
- 1 Wei Liu China 9.7k citations
- 2 Luc Van Gool Switzerland 8.5k citations
- 3 Ming–Hsuan Yang United States 7.4k citations
- 4 Dacheng Tao Australia 6.1k citations
- 5 Lei Zhang Hong Kong 5.3k citations
- 6 Richard G. Baraniuk United States 4.4k citations
- 7 Jinde Cao China 4.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Image Fusion Techniques research done?
The largest centres of Advanced Image Fusion Techniques research in 2022–2025 are Beijing (China), Xi'an (China), Wuhan (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yantai, Xi'an and Patna.
Largest cities, 2022–2025
Where it is the local speciality
- YantaiCN · 39.5 works9.1×
- Xi'anCN · 414.4 works7.0×
- PatnaIN · 21.4 works6.8×
- KunmingCN · 91.8 works6.0×
Location quotient: how much more of its research is in Advanced Image Fusion Techniques than the world average.
Where is the best place to study Advanced Image Fusion Techniques?
Among universities, judged by research, Wuhan University, Xidian University and Northwestern Polytechnical University 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 | Wuhan UniversityChina | 78.4 | 45.3% | 10.7× | 98 | +70.5% |
| 2 | Xidian UniversityChina | 71.6 | 31.9% | 21.0× | 116 | +66.5% |
| 3 | Northwestern Polytechnical UniversityChina | 68.9 | 35.4% | 10.0× | 86 | +22.5% |
| 4 | Nanjing University of Information Science and TechnologyChina | 68.0 | 26.5% | 10.2× | 31 | +212.6% |
| 5 | Dalian Maritime UniversityChina | 67.0 | 27.0% | 14.6× | 40 | +178.0% |
| 6 | Aerospace Information Research InstituteChina | 64.9 | 37.2% | 40.6× | 36 | — |
| 7 | Yunnan UniversityChina | 62.9 | 20.2% | 15.4× | 44 | +150.5% |
| 8 | Nanjing University of Science and TechnologyChina | 61.1 | 23.7% | 11.0× | 68 | +41.5% |
| 9 | Beijing Institute of TechnologyChina | 60.1 | 27.7% | 8.7× | 78 | +26.6% |
| 10 | China University of GeosciencesChina | 59.7 | 26.6% | 11.0× | 38 | +37.3% |
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 Advanced Image Fusion Techniques research growing?
Output in 2018–2022 was 44% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Image Fusion 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.