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Topic · Media Technology

Image Processing Techniques and Applications

Image Processing Techniques and Applications is a research topic within Media Technology. Science Explorer counts 38k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems.

  • Autofocusing
  • Depth Estimation
  • Microscopy
  • Shape from Focus
  • Defocus
  • Image Processing
  • Tuberculosis Detection
  • Digital Imaging
  • Machine Vision
  • Neural Networks
Research works
38k
fractional, since 1950
In the world top 10%
3.7k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+26%
the tick is no change
Largest producer
China
61% of the 10 largest, 2022-now
Image Processing Techniques and Applications

Which countries lead Image Processing Techniques and Applications research?

By volume, China and the United States publish the most (3.9k and 658 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.9k works
  2. 2 United States 658 works
  3. 3 India 615 works
  4. 4 South Korea 257 works
  5. 5 Japan 245 works
  6. 6 Germany 183 works
  7. 7 United Kingdom 157 works
  8. 8 Taiwan 131 works
  9. 9 France 126 works
  10. 10 Russia 95 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: 61.0%United States: 10.4%India: 9.7%South Korea: 4.1%6 others listed: 14.8%61%largest
China3,859 · 61.0%United States658 · 10.4%India615 · 9.7%South Korea257 · 4.1%6 others listed936 · 14.8%

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

Which institutions lead Image Processing Techniques and Applications research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Image Processing Techniques and Applications research, followed by Harbin Institute of Technology and Zhejiang University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 169 works
  2. 2 Harbin Institute of TechnologyChina 62 works
  3. 3 Zhejiang UniversityChina 59 works
  4. 4 Beijing Institute of TechnologyChina 57 works
  5. 5 Tsinghua UniversityChina 56 works
  6. 6 Nanjing University of Science and TechnologyChina 52 works
  7. 7 University of Electronic Science and Technology of ChinaChina 50 works
  8. 8 National University of Defense TechnologyChina 49 works
  9. 9 University of Chinese Academy of SciencesChina 47 works
  10. 10 Xidian UniversityChina 47 works

Who are the leading researchers in Image Processing Techniques and Applications?

The most-cited researchers publishing on Image Processing Techniques and Applications include Kaiming He, Yoshua Bengio and Jun Wang.

  1. 1 Kaiming He Israel 562k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Jun Wang China 340k 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 Tien Yin Wong Singapore 237k citations
  10. 10 Didier Raoult France 232k 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 Image Processing Techniques and Applications?

The most cited paper in Image Processing Techniques and Applications is "U-Net: Convolutional Networks for Biomedical Image Segmentation" (Olaf Ronneberger, Philipp F. Fischer, Thomas Brox, 2015), with 92,751 citations. Next come "Very Deep Convolutional Networks for Large-Scale Image Recognition" (75,434) and "NIH Image to ImageJ: 25 years of image analysis" (67,169).

Most cited papers
#PaperReleasedCitations
1 U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger, Philipp F. Fischer, Thomas Brox · Lecture notes in computer science Conference paperOpen access 2015 92,751
2 Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) PreprintOpen access 4 Sep 2014 75,434
3 NIH Image to ImageJ: 25 years of image analysis Caroline A Schneider, Wayne S. Rasband, Kevin W. Eliceiri · Nature Methods Open access 28 Jun 2012 67,169
4 The Pascal Visual Object Classes (VOC) Challenge Mark Everingham, Luc Van Gool, Christopher K. I. Williams et al. · International Journal of Computer Vision Open access 8 Sep 2009 20,137
5 A flexible new technique for camera calibration Zheng Zhang · IEEE Transactions on Pattern Analysis and Machine Intelligence 2000 14,989
All 98 most cited papers, with filters and sorting

Where is Image Processing Techniques and Applications research done?

The largest centres of Image Processing Techniques and Applications 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 Xi'an, Hsinchu and Shenzhen.

Largest cities, 2022-now

  1. 1 BeijingChina 654 works
  2. 2 ShanghaiChina 259 works
  3. 3 Xi'anChina 254 works
  4. 4 NanjingChina 214 works
  5. 5 WuhanChina 171 works
  6. 6 ChengduChina 160 works
  7. 7 GuangzhouChina 154 works
  8. 8 HangzhouChina 139 works
  9. 9 TianjinChina 122 works
  10. 10 SeoulSouth Korea 116 works

Where it is the local speciality

  1. Xi'anCN · 254.1 works4.4×
  2. HsinchuTW · 26.1 works4.2×
  3. ShenzhenCN · 101.0 works4.0×
  4. HefeiCN · 105.4 works3.9×
← less than its size predicts1×more →

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

See Image Processing Techniques and Applications on the map

Where is the best place to study Image Processing Techniques and Applications?

Among universities, judged by research, Chinese University of Hong Kong, Tsinghua University 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%mean 19.87%fractional works in this field (log) →share of work in the world top 10% →Chinese University o…Tsinghua UniversityXidian UniversityHarbin Institute of …
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
1Chinese University of Hong KongChina 68.235.0%2.6×13 +23.9%
2Tsinghua UniversityChina 63.616.9%3.7×56 +27.0%
3Xidian UniversityChina 63.016.4%9.8×47 +23.1%
4Harbin Institute of TechnologyChina 62.914.5%5.8×62 +59.9%
5Nanjing University of Science and TechnologyChina 61.918.3%9.7×52 -2.6%
6Northwestern Polytechnical UniversityChina 60.423.6%4.7×35 +60.3%
7University of Electronic Science and Technology of ChinaChina 60.013.9%6.9×50 +33.2%
8Sun Yat-sen UniversityChina 59.518.3%2.6×36 +112.3%
9University of Hong KongChina 59.523.3%2.4×14 +64.0%
10Nanyang Technological UniversitySingapore 59.118.5%3.3×17 +24.1%

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 Image Processing Techniques and Applications, country by country

Is Image Processing Techniques and Applications research growing?

Output in 2022-2025 was 26% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Image Processing Techniques and Applications.

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 Image Processing Techniques and Applications as a percentage of every work published that year, 0.039% in 2024.

still counting0.020%0.040%0.060%Image Processing Techniques and Applications0.030% in 202519801990200020102020

Fractional works of Image Processing Techniques and Applications 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%Image Processing Techniques and Applications9.7% 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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