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Advanced SAR Imaging Techniques

Advanced SAR Imaging Techniques is a research topic within Aerospace Engineering. Science Explorer counts 23k research works in it since 1953. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers a wide range of topics related to Synthetic Aperture Radar (SAR) technology and its applications. It includes research on Micro-Doppler effects, target classification using deep learning techniques, automatic target recognition, signal processing methods, Doppler radar for human activity detection, motion compensation algorithms, and the use of Convolutional Neural Networks for SAR image analysis.

  • Synthetic Aperture Radar
  • Micro-Doppler Effect
  • Target Classification
  • Convolutional Neural Networks
  • Automatic Target Recognition
  • Signal Processing
  • Doppler Radar
  • Motion Compensation
  • Deep Learning
  • Bistatic SAR
Research works
23k
fractional, since 1953
In the world top 10%
2.3k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+38%
the tick is no change
Largest producer
China
74% of the 10 largest, 2022-now

Which countries lead Advanced SAR Imaging Techniques research?

By volume, China and the United States publish the most (4.6k and 465 works in 2022-now).

By volume, 2022-now

  1. 1 China 4.6k works
  2. 2 United States 465 works
  3. 3 India 239 works
  4. 4 Germany 207 works
  5. 5 South Korea 179 works
  6. 6 Italy 158 works
  7. 7 United Kingdom 135 works
  8. 8 Japan 101 works
  9. 9 France 81 works
  10. 10 Canada 77 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: 73.8%United States: 7.4%India: 3.8%Germany: 3.3%6 others listed: 11.7%74%largest
China4,622 · 73.8%United States465 · 7.4%India239 · 3.8%Germany207 · 3.3%6 others listed731 · 11.7%

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

Which institutions lead Advanced SAR Imaging Techniques research?

By volume in 2022-now, Xidian University publishes the most Advanced SAR Imaging Techniques research, followed by University of Electronic Science and Technology of China and National University of Defense Technology.

Who are the leading researchers in Advanced SAR Imaging Techniques?

The most-cited researchers publishing on Advanced SAR Imaging Techniques include Kai You Wang, H. Vincent Poor and Alan Conrad Bovik.

  1. 1 Kai You Wang China 224k citations
  2. 2 H. Vincent Poor United States 165k citations
  3. 3 Alan Conrad Bovik United States 150k 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 SAR Imaging Techniques?

The most cited paper in Advanced SAR Imaging Techniques is "A tutorial on synthetic aperture radar" (Alberto Moreira, Pau Prats, Marwan Younis et al., 2013), with 2,832 citations. Next come "MIMO Radar with Colocated Antennas" (2,596) and "An entropy based classification scheme for land applications of polarimetric SAR" (2,475).

Most cited papers
#PaperReleasedCitations
1 A tutorial on synthetic aperture radar Alberto Moreira, Pau Prats, Marwan Younis et al. · IEEE Geoscience and Remote Sensing Magazine Mar 2013 2,832
2 MIMO Radar with Colocated Antennas Jian Li, Petre Stoica · IEEE Signal Processing Magazine Sep 2007 2,596
3 An entropy based classification scheme for land applications of polarimetric SAR S.R. Cloude, Éric Pottier · IEEE Transactions on Geoscience and Remote Sensing 1997 2,475
4 A three-component scattering model for polarimetric SAR data A. Freeman, Stephen L. Durden · IEEE Transactions on Geoscience and Remote Sensing May 1998 2,400
5 GMES Sentinel-1 mission Ramón Torres et al. · Remote Sensing of Environment 18 Feb 2012 2,233
All 100 most cited papers, with filters and sorting

Where is Advanced SAR Imaging Techniques research done?

The largest centres of Advanced SAR Imaging Techniques research in 2022-now are Beijing (China), Xi'an (China), Chengdu (China) and Changsha (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wachtberg, Minhang and Changsha.

Largest cities, 2022-now

  1. 1 BeijingChina 1.1k works
  2. 2 Xi'anChina 624 works
  3. 3 ChengduChina 402 works
  4. 4 ChangshaChina 399 works
  5. 5 NanjingChina 340 works
  6. 6 ShanghaiChina 247 works
  7. 7 HarbinChina 166 works
  8. 8 WuhanChina 159 works
  9. 9 GuangzhouChina 147 works
  10. 10 HefeiChina 88 works

Where it is the local speciality

  1. WachtbergDE · 26.4 works186×
  2. MinhangCN · 24.6 works68×
  3. ChangshaCN · 398.6 works12×
  4. Xi'anCN · 624.5 works12×
  5. Beijing25.3 works9.4×
← less than its size predicts1×more →

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

See Advanced SAR Imaging Techniques on the map

Where is the best place to study Advanced SAR Imaging Techniques?

Among universities, judged by research, University of Electronic Science and Technology of China, Xidian University and National University of Defense Technology 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 17.61%fractional works in this field (log) →share of work in the world top 10% →Henan UniversityNational University …University of Electr…Xidian 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
1University of Electronic Science and Technology of ChinaChina 73.014.2%49.6×335 +31.0%
2Xidian UniversityChina 72.812.9%77.1×338 +14.4%
3National University of Defense TechnologyChina 70.115.1%71.0×329 +24.0%
4Henan UniversityChina 62.925.5%7.7×16 +157.2%
5Delft University of TechnologyNetherlands 62.118.2%8.1×33 +24.8%
6Southeast UniversityChina 61.316.7%5.7×50 +165.7%
7University of WaterlooCanada 61.324.8%3.9×13 +153.5%
8Sun Yat-sen UniversityChina 59.910.7%8.2×102 +257.7%
9Northwestern Polytechnical UniversityChina 58.413.3%12.6×87 +113.8%
10Shanghai Maritime UniversityChina 58.424.7%8.1×12 -

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 SAR Imaging Techniques, country by country

Is Advanced SAR Imaging Techniques research growing?

Output in 2022-2025 was 38% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced SAR Imaging 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 SAR Imaging Techniques as a percentage of every work published that year, 0.031% in 2024.

still counting0.020%0.040%Advanced SAR Imaging Techniques0.032% in 202519801990200020102020

Fractional works of Advanced SAR Imaging 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 SAR Imaging 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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