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Topic · Signal Processing

Blind Source Separation Techniques

Blind Source Separation Techniques is a research topic within Signal Processing. Science Explorer counts 43k research works in it since 1950. 14.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain.

  • Independent Component Analysis
  • Blind Separation
  • Sparse Representation
  • Signal Decomposition
  • Convolutional Mixtures
  • Biomedical Signals
  • Frequency Domain
  • Non-stationary Sources
  • Natural Images
  • Temporal Structure
Research works
43k
fractional, since 1950
In the world top 10%
6.2k
per year above
Top-10% rate
14.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-13%
the tick is no change

Which countries lead Blind Source Separation Techniques research?

By volume, China and India publish the most (1.8k and 535 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.8k works
  2. 2 India 535 works
  3. 3 United States 436 works
  4. 4 Japan 162 works
  5. 5 France 124 works
  6. 6 Germany 103 works
  7. 7 United Kingdom 98 works
  8. 8 South Korea 80 works
  9. 9 Iran 80 works
  10. 10 Italy 75 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.

China: 51.9%India: 15.2%United States: 12.4%Japan: 4.6%6 others listed: 15.9%52%largest
China1,829 · 51.9%India535 · 15.2%United States436 · 12.4%Japan162 · 4.6%6 others listed560 · 15.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Blind Source Separation Techniques research?

By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Blind Source Separation Techniques research, followed by Xidian University and Northwestern Polytechnical University.

By volume, 2022–2025

  1. 1 University of Electronic Science and Technology of China China 55 works
  2. 2 Xidian University China 43 works
  3. 3 Northwestern Polytechnical University China 42 works
  4. 4 Harbin Engineering University China 36 works
  5. 5 National University of Defense Technology China 31 works
  6. 6 Xi'an Jiaotong University China 31 works
  7. 7 Harbin Institute of Technology China 30 works
  8. 8 Beijing Institute of Technology China 28 works
  9. 9 Southeast University China 26 works
  10. 10 Southwest Jiaotong University China 25 works

Who are the leading researchers in Blind Source Separation Techniques?

The most-cited researchers publishing on Blind Source Separation Techniques include Yoshua Bengio, H. Vincent Poor and Dacheng Tao.

  1. 1 Yoshua Bengio 17k citations
  2. 2 H. Vincent Poor 9.5k citations
  3. 3 Dacheng Tao 6.1k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Blind Source Separation Techniques research done?

The largest centres of Blind Source Separation Techniques research in 2022–2025 are Beijing (China), Xi'an (China), Chengdu (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an and Harbin.

Largest cities, 2022–2025

  1. 1 Beijing China 310 works
  2. 2 Xi'an China 174 works
  3. 3 Chengdu China 120 works
  4. 4 Nanjing China 108 works
  5. 5 Shanghai China 106 works
  6. 6 Harbin China 76 works
  7. 7 Tokyo Japan 76 works
  8. 8 Guangzhou China 74 works
  9. 9 Hangzhou China 71 works
  10. 10 Chongqing China 61 works

Where it is the local speciality

  1. Xi'anCN · 174.1 works5.0×
  2. HarbinCN · 76.0 works4.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Blind Source Separation Techniques than the world average.

See Blind Source Separation Techniques on the map

Where is the best place to study Blind Source Separation Techniques?

Among universities, judged by research, Indian Institute of Technology Indore, University of Electronic Science and Technology of China and Xidian 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.

0%20%40%60%mean 22.46%fractional works in this node (log) →share in the world top 10% →Indian Institute of Technology Indore: 9, 55.5%University of Electronic Science and Technology of China: 55, 12.5%Xidian University: 43, 14.9%Harbin Engineering University: 36, 15.2%Northwestern Polytechnical University: 42, 23.4%Southwest University: 18, 14.7%Xi’an University of Posts and Telecommunications: 12, 34.2%Southwest Jiaotong University: 25, 17.5%Hangzhou Dianzi University: 18, 21.2%National University of Defense Technology: 31, 15.5%Indian Institute of …Harbin Engineering U…Xidian UniversityUniversity of Electr…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Indian Institute of Technology Indore India 67.355.5%11.3×9 +97.4%
2University of Electronic Science and Technology of China China 55.612.5%10.9×55 -16.5%
3Xidian University China 54.014.9%13.0×43 -16.2%
4Harbin Engineering University China 54.015.2%15.4×36 +21.1%
5Northwestern Polytechnical University China 51.523.4%8.1×42 -41.4%
6Southwest University China 49.114.7%7.7×18 +162.6%
7Xi’an University of Posts and Telecommunications China 48.934.2%13.6×12 -40.0%
8Southwest Jiaotong University China 48.517.5%7.4×25 +90.8%
9Hangzhou Dianzi University China 47.921.2%12.2×18 -25.8%
10National University of Defense Technology China 46.815.5%9.0×31 -10.0%

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 Blind Source Separation Techniques research growing?

Output in 2018–2022 was 13% lower than in 2013–2017, peaking in 2002.

19801990200020102020
grewheldshrank

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.