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. 9.9% 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%
- 2.9k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- 0% the tick is no change
- Largest producer
China
53% of the 10 largest, 2022-now
Which countries lead Advanced Adaptive Filtering Techniques research?
By volume, China and India publish the most (1.4k and 362 works in 2022-now).
By volume, 2022-now
- 1
China 1.4k works
- 2
India 362 works
- 3
United States 246 works
- 4
Japan 161 works
- 5
United Kingdom 105 works
- 6
Germany 105 works
- 7
France 64 works
- 8
Canada 64 works
- 9
South Korea 63 works
- 10
Brazil 47 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-now, Chinese Academy of Sciences publishes the most Advanced Adaptive Filtering Techniques research, followed by Southwest Jiaotong University and University of Electronic Science and Technology of China.
By volume, 2022-now
- 1
Chinese Academy of Sciences
China 62 works
- 2
Southwest Jiaotong University
China 51 works
- 3
University of Electronic Science and Technology of China
China 49 works
- 4
Northwestern Polytechnical University
China 45 works
- 5
Harbin Engineering University
China 29 works
- 6
Southwest University
China 27 works
- 7
Harbin Institute of Technology
China 24 works
- 8
Beijing Institute of Technology
China 22 works
- 9
Centre National de la Recherche Scientifique
France 21 works
- 10
Nanyang Technological University
Singapore 19 works
Who are the leading researchers in Advanced Adaptive Filtering Techniques?
The most-cited researchers publishing on Advanced Adaptive Filtering Techniques include Wei Huang, Xiaogang Wang and Trevor J. Darrell.
- 1
Wei Huang
China 267k citations
- 2
Xiaogang Wang
China 260k citations
- 3
Trevor J. Darrell
United States 206k citations
- 4
H. Vincent Poor
United States 165k citations
- 5
Anil Kumar Jain
United States 160k citations
- 6
Bernhard Schölkopf
Germany 148k citations
- 7
Stephen Boyd
United States 142k citations
- 8
Francisco Herrera
Spain 141k 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-now 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 Qingdao University of Science and 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Advanced Adaptive Filtering Techniques, country by countryIs Advanced Adaptive Filtering Techniques research growing?
Output in 2022-2025 was 0% lower than in 2018-2021, 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.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Advanced Adaptive Filtering Techniques as a percentage of every work published that year, 0.016% in 2024.
Fractional works of Advanced Adaptive Filtering Techniques over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
Ask a question or share a note about Advanced Adaptive Filtering Techniques. Posts are plain text and can be reported.