Advanced Data Compression Techniques
Advanced Data Compression Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 32k 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 covers a wide range of image compression techniques and standards, including JPEG2000, wavelet compression, lossless compression, scalable compression, video coding, deep learning approaches, lifting scheme, hyperspectral imaging, vector quantization, and error-resilient coding.
- JPEG2000
- Wavelet Compression
- Lossless Compression
- Scalable Compression
- Video Coding
- Deep Learning
- Lifting Scheme
- Hyperspectral Imaging
- Vector Quantization
- Error Resilient Coding
- Research works
- 32k fractional, since 1950
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -28% the tick is no change
Which countries lead Advanced Data Compression Techniques research?
By volume, China and India publish the most (1,000 and 414 works in 2022–2025).
By volume, 2022–2025
- 1 China 1,000 works
- 2 India 414 works
- 3 United States 305 works
- 4 Japan 101 works
- 5 Germany 95 works
- 6 South Korea 89 works
- 7 France 65 works
- 8 United Kingdom 62 works
- 9 Russia 54 works
- 10 Iraq 51 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 Data Compression Techniques research?
By volume in 2022–2025, Peking University publishes the most Advanced Data Compression Techniques research, followed by University of Science and Technology of China and Shanghai Jiao Tong University.
By volume, 2022–2025
- 1 Peking University China 38 works
- 2 University of Science and Technology of China China 36 works
- 3 Shanghai Jiao Tong University China 34 works
- 4 Beijing University of Posts and Telecommunications China 28 works
- 5 Harbin Institute of Technology China 22 works
- 6 Xidian University China 21 works
- 7 Tsinghua University China 21 works
- 8 Peng Cheng Laboratory China 20 works
- 9 University of Electronic Science and Technology of China China 18 works
- 10 City University of Hong Kong Hong Kong 16 works
Who are the leading researchers in Advanced Data Compression Techniques?
The most-cited researchers publishing on Advanced Data Compression Techniques include H. Vincent Poor, Thomas S. Huang and Lei Zhang.
- 1 H. Vincent Poor 9.5k citations
- 2 Thomas S. Huang 7.4k citations
- 3 Lei Zhang 5.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Data Compression Techniques research done?
The largest centres of Advanced Data Compression Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Shenzhen (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Kharkiv and Shenzhen.
Largest cities, 2022–2025
Where it is the local speciality
- KharkivUA · 22.8 works7.4×
- ShenzhenCN · 66.4 works6.6×
Location quotient: how much more of its research is in Advanced Data Compression Techniques than the world average.
Where is the best place to study Advanced Data Compression Techniques?
Among universities, judged by research, City University of Hong Kong, University of Science and Technology of China and Peking 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 | City University of Hong Kong Hong Kong | 73.0 | 24.5% | 9.3× | 16 | -25.4% |
| 2 | University of Science and Technology of China China | 66.9 | 15.5% | 10.4× | 36 | -15.0% |
| 3 | Peking University China | 63.0 | 17.2% | 8.2× | 38 | -48.0% |
| 4 | Beijing University of Posts and Telecommunications China | 58.9 | 14.1% | 15.7× | 28 | -40.5% |
| 5 | Waseda University Japan | 48.7 | 16.4% | 10.3× | 10 | -54.6% |
| 6 | Sungkyunkwan University South Korea | 48.4 | 21.0% | 7.1× | 11 | -65.2% |
| 7 | Shanghai Jiao Tong University China | 45.5 | 11.4% | 5.4× | 34 | -49.0% |
| 8 | University of Electronic Science and Technology of China China | 44.0 | 16.5% | 5.4× | 18 | -30.2% |
| 9 | Xidian University China | 41.2 | 3.9% | 9.8× | 21 | -67.4% |
| 10 | Harbin Institute of Technology China | 41.0 | 15.4% | 4.5× | 22 | -54.5% |
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 Data Compression Techniques research growing?
Output in 2018–2022 was 28% 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.