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Topic · Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Advanced Image Processing Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 30k research works in it since 1955. 9.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging.

  • Super-Resolution
  • Image
  • Deep Learning
  • Convolutional Networks
  • Generative Adversarial Networks
  • Sparse Representation
  • Deblurring
  • Neural Networks
  • Video Enhancement
  • Medical Imaging
Research works
30k
fractional, since 1955
In the world top 10%
2.9k
per year above
Top-10% rate
9.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+38%
the tick is no change
Largest producer
China
66% of the 10 largest, 2022-now
Advanced Image Processing Techniques

Which countries lead Advanced Image Processing Techniques research?

By volume, China and India publish the most (5.4k and 845 works in 2022-now).

By volume, 2022-now

  1. 1 China 5.4k works
  2. 2 India 845 works
  3. 3 United States 601 works
  4. 4 South Korea 393 works
  5. 5 Japan 217 works
  6. 6 United Kingdom 183 works
  7. 7 Taiwan 141 works
  8. 8 France 140 works
  9. 9 Germany 126 works
  10. 10 Canada 107 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: 66.2%India: 10.4%United States: 7.4%South Korea: 4.8%6 others listed: 11.2%66%largest
China5,405 · 66.2%India845 · 10.4%United States601 · 7.4%South Korea393 · 4.8%6 others listed915 · 11.2%

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

Which institutions lead Advanced Image Processing Techniques research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Image Processing Techniques research, followed by Shanghai Jiao Tong University and University of Science and Technology of China.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 195 works
  2. 2 Shanghai Jiao Tong UniversityChina 98 works
  3. 3 University of Science and Technology of ChinaChina 85 works
  4. 4 Harbin Institute of TechnologyChina 83 works
  5. 5 Xidian UniversityChina 79 works
  6. 6 University of Electronic Science and Technology of ChinaChina 78 works
  7. 7 Wuhan UniversityChina 74 works
  8. 8 Tsinghua UniversityChina 73 works
  9. 9 Peking UniversityChina 71 works
  10. 10 Northwestern Polytechnical UniversityChina 66 works

Who are the leading researchers in Advanced Image Processing Techniques?

The most-cited researchers publishing on Advanced Image Processing Techniques include M. Shoji, Kaiming He and Yoshua Bengio.

  1. 1 M. Shoji Japan 806k citations
  2. 2 Kaiming He Israel 562k citations
  3. 3 Yoshua Bengio Canada 476k citations
  4. 4 Xiangyu Zhang 327k citations
  5. 5 Jian Sun 281k citations
  6. 6 Xiaogang Wang China 260k citations
  7. 7 Yann LeCun United States 256k citations
  8. 8 Andrew Zisserman United Kingdom 255k citations
  9. 9 Li Fei-Fei United States 225k citations
  10. 10 Kai You Wang China 224k 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 Image Processing Techniques?

The most cited paper in Advanced Image Processing Techniques is "ImageNet classification with deep convolutional neural networks" (Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, 2017), with 75,634 citations. Next come "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks" (22,468) and "Nonlinear total variation based noise removal algorithms" (15,969).

Most cited papers
#PaperReleasedCitations
1 ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM Open access 24 May 2017 75,634
2 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola et al. Conference paperOpen access Oct 2017 22,468
3 Nonlinear total variation based noise removal algorithms L. Rudin, Stanley Osher, Emad Fatemi · Physica D Nonlinear Phenomena Nov 1992 15,969
4 High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach, Andreas Blattmann, Dominik Lorenz et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Conference paper Jun 2022 15,702
5 The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros et al. Conference paper Jun 2018 13,833
All 98 most cited papers, with filters and sorting

Where is Advanced Image Processing Techniques research done?

The largest centres of Advanced Image Processing Techniques research in 2022-now are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen, Patna and Macao.

Largest cities, 2022-now

  1. 1 BeijingChina 896 works
  2. 2 ShanghaiChina 370 works
  3. 3 Xi'anChina 354 works
  4. 4 NanjingChina 290 works
  5. 5 WuhanChina 260 works
  6. 6 ChengduChina 210 works
  7. 7 GuangzhouChina 201 works
  8. 8 ShenzhenChina 200 works
  9. 9 SeoulSouth Korea 199 works
  10. 10 HangzhouChina 185 works

Where it is the local speciality

  1. ShenzhenCN · 200.2 works6.4×
  2. PatnaIN · 23.1 works6.0×
  3. MacaoCN · 38.2 works5.1×
← less than its size predicts1×more →

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

See Advanced Image Processing Techniques on the map

Where is the best place to study Advanced Image Processing Techniques?

Among universities, judged by research, Nanyang Technological University, University of Science and Technology of China and Chinese 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 19.71%fractional works in this field (log) →share of work in the world top 10% →Nanyang Technologica…Chinese University o…University of Scienc…Wuhan University
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
1Nanyang Technological UniversitySingapore 78.030.4%6.2×40 +85.9%
2University of Science and Technology of ChinaChina 73.921.0%8.9×85 +28.6%
3Chinese University of Hong KongChina 71.729.1%3.6×21 +16.1%
4Wuhan UniversityChina 67.818.0%6.5×74 +24.3%
5Hong Kong Polytechnic UniversityChina 67.422.3%4.7×33 +43.1%
6City University of Hong KongChina 67.417.6%6.1×28 +25.1%
7Harbin Institute of TechnologyChina 64.013.5%6.3×83 +84.7%
8Shanghai Jiao Tong UniversityChina 63.713.6%4.2×98 +30.8%
9Tsinghua UniversityChina 62.917.1%3.9×73 +18.7%
10Peking UniversityChina 61.814.5%4.3×71 +11.8%

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 Image Processing Techniques, country by country

Is Advanced Image Processing Techniques research growing?

Output in 2022-2025 was 38% higher than in 2018-2021, peaking in 2023. The fastest-growing topics are Advanced Image Processing 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 Image Processing Techniques as a percentage of every work published that year, 0.039% in 2024.

still counting0.020%0.040%0.060%Advanced Image Processing Techniques0.036% in 202519801990200020102020

Fractional works of Advanced Image Processing 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 Image Processing Techniques9.7% 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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