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Optical Coherence Tomography Applications

Optical Coherence Tomography Applications is a research topic within Biomedical Engineering. Science Explorer counts 24k research works in it since 1950. 15.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advances in optical coherence tomography (OCT) imaging, particularly in the areas of high-resolution in vivo imaging, retinal blood flow measurement, and its applications in dermatological diseases. The papers cover various technological developments and biomedical applications of OCT, including the detection of microvasculature and tissue optical clearing.

  • Optical Coherence Tomography
  • High-Resolution Imaging
  • Biomedical Applications
  • Spectral-Domain OCT
  • In Vivo Imaging
  • Retinal Blood Flow
  • Dermatological Diseases
  • Microvasculature Detection
  • OCT Technology
  • Tissue Optical Clearing
Research works
24k
fractional, since 1950
In the world top 10%
3.8k
per year above
Top-10% rate
15.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+21%
the tick is no change

Which countries lead Optical Coherence Tomography Applications research?

By volume, China and the United States publish the most (1.5k and 888 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.5k works
  2. 2 United States 888 works
  3. 3 Germany 261 works
  4. 4 India 203 works
  5. 5 Japan 202 works
  6. 6 United Kingdom 182 works
  7. 7 France 159 works
  8. 8 South Korea 149 works
  9. 9 Russia 116 works
  10. 10 Canada 102 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: 39.2%United States: 23.9%Germany: 7.0%India: 5.5%6 others listed: 24.5%39%largest
China1,457 · 39.2%United States888 · 23.9%Germany261 · 7.0%India203 · 5.5%6 others listed910 · 24.5%

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

Which institutions lead Optical Coherence Tomography Applications research?

By volume in 2022–2025, Beijing Institute of Technology publishes the most Optical Coherence Tomography Applications research, followed by Tsinghua University and Chinese Academy of Sciences.

Who are the leading researchers in Optical Coherence Tomography Applications?

The most-cited researchers publishing on Optical Coherence Tomography Applications include Daniel Rueckert, Patrick W. Serruys and Steven Chu.

  1. 1 Daniel Rueckert United Kingdom 3.6k citations
  2. 2 Patrick W. Serruys Netherlands 3.6k citations
  3. 3 Steven Chu United States 3.5k citations

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

Where is Optical Coherence Tomography Applications research done?

The largest centres of Optical Coherence Tomography Applications research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Lübeck, Nizhny Novgorod and Dresden.

Largest cities, 2022–2025

  1. 1 Beijing China 292 works
  2. 2 Shanghai China 114 works
  3. 3 Nanjing China 82 works
  4. 4 Hangzhou China 75 works
  5. 5 Xi'an China 75 works
  6. 6 Wuhan China 75 works
  7. 7 Shenzhen China 71 works
  8. 8 Tianjin China 69 works
  9. 9 Paris France 67 works
  10. 10 Tokyo Japan 61 works

Where it is the local speciality

  1. LübeckDE · 20.2 works25×
  2. Nizhny NovgorodRU · 23.6 works11×
  3. DresdenDE · 27.1 works6.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Optical Coherence Tomography Applications than the world average.

See Optical Coherence Tomography Applications on the map

Where is the best place to study Optical Coherence Tomography Applications?

Among universities, judged by research, Medical University of Vienna, Beijing Institute of Technology and Oregon Health & Science 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%10%20%30%mean 18.6%fractional works in this node (log) →share in the world top 10% →Medical University of Vienna: 18, 25.5%Beijing Institute of Technology: 39, 12.2%Oregon Health & Science University: 15, 23.0%Shenzhen University: 22, 15.9%Nanjing University of Science and Technology: 29, 17.1%Chinese University of Hong Kong: 17, 21.6%Tsinghua University: 36, 22.3%University of Chinese Academy of Sciences: 27, 18.3%University of Illinois Chicago: 17, 14.3%Southern University of Science and Technology: 17, 15.8%Medical University o…Oregon Health & Scie…Shenzhen UniversityBeijing Institute of…
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
1 Medical University of ViennaAustria 69.925.5%12.7×18 -7.0%
2 Beijing Institute of TechnologyChina 64.412.2%7.0×39 +184.3%
3 Oregon Health & Science UniversityUnited States 64.023.0%11.1×15 +31.4%
4 Shenzhen UniversityChina 62.915.9%6.5×22 +233.1%
5 Nanjing University of Science and TechnologyChina 62.417.1%7.6×29 +106.9%
6 Chinese University of Hong KongHong Kong 60.121.6%5.3×17 +71.8%
7 Tsinghua UniversityChina 59.722.3%4.0×36 +73.4%
8 University of Chinese Academy of SciencesChina 57.818.3%3.5×27 +221.6%
9 University of Illinois ChicagoUnited States 56.614.3%7.4×17 +154.7%
10 Southern University of Science and TechnologyChina 53.215.8%7.0×17

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 Optical Coherence Tomography Applications research growing?

Output in 2018–2022 was 21% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Optical Coherence Tomography Applications.

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.