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Topic · Computer Vision and Pattern Recognition

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, 2018-21 → 2022-25
+29%
the tick is no change
Largest producer
China
47% of the 10 largest, 2022-now
Advanced Data Compression Techniques

Which countries lead Advanced Data Compression Techniques research?

By volume, China and India publish the most (1.2k and 450 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.2k works
  2. 2 India 450 works
  3. 3 United States 354 works
  4. 4 Japan 111 works
  5. 5 South Korea 105 works
  6. 6 Germany 105 works
  7. 7 United Kingdom 73 works
  8. 8 France 71 works
  9. 9 Russia 60 works
  10. 10 Iraq 55 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: 47.1%India: 17.2%United States: 13.5%Japan: 4.2%6 others listed: 17.9%47%largest
China1,234 · 47.1%India450 · 17.2%United States354 · 13.5%Japan111 · 4.2%6 others listed469 · 17.9%

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

Which institutions lead Advanced Data Compression Techniques research?

By volume in 2022-now, 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-now

  1. 1 Peking UniversityChina 47 works
  2. 2 University of Science and Technology of ChinaChina 43 works
  3. 3 Shanghai Jiao Tong UniversityChina 40 works
  4. 4 Chinese Academy of SciencesChina 37 works
  5. 5 Beijing University of Posts and TelecommunicationsChina 36 works
  6. 6 Harbin Institute of TechnologyChina 28 works
  7. 7 Xidian UniversityChina 27 works
  8. 8 Peng Cheng LaboratoryChina 24 works
  9. 9 Tsinghua UniversityChina 24 works
  10. 10 Centre National de la Recherche ScientifiqueFrance 22 works

Who are the leading researchers in Advanced Data Compression Techniques?

The most-cited researchers publishing on Advanced Data Compression Techniques include Yoshua Bengio, Yann LeCun and Kai You Wang.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Yann LeCun United States 256k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Oriol Vinyals United States 177k citations
  5. 5 Luc Van Gool Switzerland 177k citations
  6. 6 H. Vincent Poor United States 165k citations

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

What are the most cited papers in Advanced Data Compression Techniques?

The most cited paper in Advanced Data Compression Techniques is "Overview of the High Efficiency Video Coding (HEVC) Standard" (Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han et al., 2012), with 8,309 citations. Next come "Overview of the H.264/AVC video coding standard" (8,227) and "An Algorithm for Vector Quantizer Design" (7,224).

Most cited papers
#PaperReleasedCitations
1 Overview of the High Efficiency Video Coding (HEVC) Standard Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han et al. · IEEE Transactions on Circuits and Systems for Video Technology 30 Sep 2012 8,309
2 Overview of the H.264/AVC video coding standard Thomas Wiegand, Gary J. Sullivan, Gisle Bjøntegaard et al. · IEEE Transactions on Circuits and Systems for Video Technology Jul 2003 8,227
3 An Algorithm for Vector Quantizer Design Y. Linde, Andres Buzo, Robert M. Gray · IEEE Transactions on Communications 1980 7,224
4 The Laplacian Pyramid as a Compact Image Code P.M.S. Burt, Edward H. Adelson · IRE Transactions on Communications Systems Apr 1983 6,102
5 An efficient k-means clustering algorithm: analysis and implementation Tapas Kanungo, David M. Mount, Nathan S. Netanyahu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence Jul 2002 5,724
All 99 most cited papers, with filters and sorting

Where is Advanced Data Compression Techniques research done?

The largest centres of Advanced Data Compression Techniques research in 2022-now 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 Erlangen, Kharkiv and Shenzhen.

Largest cities, 2022-now

  1. 1 BeijingChina 270 works
  2. 2 ShanghaiChina 109 works
  3. 3 ShenzhenChina 77 works
  4. 4 Xi'anChina 67 works
  5. 5 NanjingChina 66 works
  6. 6 SeoulSouth Korea 61 works
  7. 7 HefeiChina 58 works
  8. 8 ChennaiIndia 54 works
  9. 9 WuhanChina 50 works
  10. 10 HangzhouChina 48 works

Where it is the local speciality

  1. ErlangenDE · 21.4 works10.0×
  2. KharkivUA · 24.9 works7.4×
  3. ShenzhenCN · 77.1 works6.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Data Compression Techniques than the world average.

See Advanced Data Compression Techniques on the map

Where is the best place to study Advanced Data Compression Techniques?

Among universities, judged by research, University of Science and Technology of China, Peking University and City University of Hong Kong 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%mean 18.33%fractional works in this field (log) →share of work in the world top 10% →City University of H…Peking UniversityUniversity of Scienc…Beijing University o…
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Science and Technology of ChinaChina 80.417.1%12.3×43 +165.6%
2Peking UniversityChina 80.217.9%7.7×47 +94.1%
3City University of Hong KongChina 78.224.4%10.5×18 +126.0%
4Beijing University of Posts and TelecommunicationsChina 65.316.3%19.0×36 +236.0%
5Harbin Institute of TechnologyChina 65.318.2%5.8×28 +169.9%
6Shanghai Jiao Tong UniversityChina 61.612.8%4.7×40 +233.2%
7Nanjing UniversityChina 60.829.3%3.9×11 +57.1%
8University of Electronic Science and Technology of ChinaChina 57.019.9%5.8×19 +107.9%
9Xidian UniversityChina 55.711.1%12.6×27 +173.1%
10Tsinghua UniversityChina 53.516.3%3.5×24 +118.3%

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 Data Compression Techniques, country by country

Is Advanced Data Compression Techniques research growing?

Output in 2022-2025 was 29% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Advanced Data Compression Techniques.

still counting19801990200020102020
grewheldshrank

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 Data Compression Techniques as a percentage of every work published that year, 0.017% in 2024.

still counting0.10%0.20%Advanced Data Compression Techniques0.018% in 202519801990200020102020

Fractional works of Advanced Data Compression 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.

still counting5%10%15%Advanced Data Compression Techniques9.9% in 2025200020102020

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.

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