Advanced Adaptive Filtering Techniques
Advanced Adaptive Filtering Techniques is a research topic within Computational Mechanics. Science Explorer counts 30k research works in it since 1950. 12.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the topic of adaptive filtering in non-Gaussian signal processing, with an emphasis on diffusion strategies, kernel algorithms, sparse system identification, active noise control, distributed estimation, variable step-size algorithms, robust adaptive filtering, and the application of correntropy criterion. The papers cover a wide range of applications and performance analyses for adaptive filtering techniques in complex and non-Gaussian signal environments.
- Adaptive Filtering
- Non-Gaussian Signal Processing
- Diffusion Strategies
- Kernel Algorithms
- Sparse System Identification
- Active Noise Control
- Distributed Estimation
- Variable Step-Size Algorithms
- Robust Adaptive Filtering
- Correntropy Criterion
- Research works
- 30k fractional, since 1950
- In the world top 10%
- 3.6k per year above
- Top-10% rate
- 12.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -19% the tick is no change
Which countries lead Advanced Adaptive Filtering Techniques research?
By volume, China and India publish the most (1.2k and 337 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.2k works
- 2 India 337 works
- 3 United States 225 works
- 4 Japan 152 works
- 5 United Kingdom 98 works
- 6 Germany 95 works
- 7 Canada 57 works
- 8 South Korea 57 works
- 9 France 57 works
- 10 Taiwan 43 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 Adaptive Filtering Techniques research?
By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Advanced Adaptive Filtering Techniques research, followed by Southwest Jiaotong University and Northwestern Polytechnical University.
By volume, 2022–2025
- 1 University of Electronic Science and Technology of ChinaChina 47 works
- 2 Southwest Jiaotong UniversityChina 46 works
- 3 Northwestern Polytechnical UniversityChina 40 works
- 4 Harbin Engineering UniversityChina 25 works
- 5 Southwest UniversityChina 24 works
- 6 Institute of AcousticsChina 23 works
- 7 Beijing Institute of TechnologyChina 18 works
- 8 Harbin Institute of TechnologyChina 18 works
- 9 Nanyang Technological UniversitySingapore 18 works
- 10 Chinese Academy of SciencesChina 17 works
Who are the leading researchers in Advanced Adaptive Filtering Techniques?
The most-cited researchers publishing on Advanced Adaptive Filtering Techniques include H. Vincent Poor, Georgios B. Giannakis and Andreas F. Molisch.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Georgios B. Giannakis United States 4.6k citations
- 3 Andreas F. Molisch United States 4.3k citations
- 4 Dong Yu United States 4.1k citations
- 5 Yonina C. Eldar Israel 4k citations
- 6 Jerry M. Mendel United States 4k citations
- 7 Petre Stoica Sweden 3.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Adaptive Filtering Techniques research done?
The largest centres of Advanced Adaptive Filtering Techniques research in 2022–2025 are Beijing (China), Chengdu (China), Xi'an (China) and Nanjing (China).
Where is the best place to study Advanced Adaptive Filtering Techniques?
Among universities, judged by research, Southwest Jiaotong University, Nanyang Technological University and Southwest 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 | Southwest Jiaotong UniversityChina | 74.3 | 17.9% | 20.4× | 46 | +248.3% |
| 2 | Nanyang Technological UniversitySingapore | 66.3 | 41.9% | 7.5× | 18 | -50.4% |
| 3 | Southwest UniversityChina | 65.0 | 14.9% | 15.4× | 24 | +954.9% |
| 4 | University of Electronic Science and Technology of ChinaChina | 61.7 | 16.3% | 14.1× | 47 | -2.3% |
| 5 | Northwestern Polytechnical UniversityChina | 61.5 | 19.1% | 11.8× | 40 | -3.7% |
| 6 | Harbin Engineering UniversityChina | 52.3 | 9.5% | 16.5× | 25 | +54.6% |
| 7 | Institut National de la Recherche ScientifiqueCanada | 51.7 | 19.4% | 48.9× | 11 | -14.2% |
| 8 | University of SouthamptonUnited Kingdom | 50.4 | 13.2% | 11.5× | 16 | -20.1% |
| 9 | Southwest University of Science and TechnologyChina | 50.3 | 12.4% | 18.2× | 12 | +134.1% |
| 10 | University of BlidaAlgeria | 46.3 | 0.0% | 59.2× | 10 | +208.0% |
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 Adaptive Filtering Techniques research growing?
Output in 2018–2022 was 19% lower than in 2013–2017, peaking in 2002.
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.