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Wind Energy Research and Development

Wind Energy Research and Development is a research topic within Aerospace Engineering. Science Explorer counts 22k research works in it since 1953. 44.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on wind energy technology, including topics such as wind turbine wakes, renewable energy sustainability indicators, Weibull distribution for wind speed analysis, offshore wind farms, tidal energy conversion systems, blade design, wind farm optimization, CFD simulation for aerodynamics, and environmental impact assessment.

  • Wind Turbine Wakes
  • Renewable Energy
  • Weibull Distribution
  • Aerodynamics
  • Offshore Wind Farms
  • Tidal Energy
  • Blade Design
  • Wind Farm Optimization
  • CFD Simulation
  • Sustainability Indicators
Research works
22k
fractional, since 1953
In the world top 10%
9.7k
per year above
Top-10% rate
44.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+37%
the tick is no change

Which countries lead Wind Energy Research and Development research?

By volume, China and the United States publish the most (1.4k and 476 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.4k works
  2. 2 United States 476 works
  3. 3 India 382 works
  4. 4 United Kingdom 296 works
  5. 5 Germany 193 works
  6. 6 Indonesia 176 works
  7. 7 Italy 144 works
  8. 8 Spain 135 works
  9. 9 Japan 133 works
  10. 10 Iran 122 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: 39.9%United States: 13.9%India: 11.1%United Kingdom: 8.6%6 others listed: 26.4%40%largest
China1,367 · 39.9%United States476 · 13.9%India382 · 11.1%United Kingdom296 · 8.6%6 others listed903 · 26.4%

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

Which institutions lead Wind Energy Research and Development research?

By volume in 2022–2025, Technical University of Denmark publishes the most Wind Energy Research and Development research, followed by Delft University of Technology and North China Electric Power University.

Who are the leading researchers in Wind Energy Research and Development?

The most-cited researchers publishing on Wind Energy Research and Development include Frede Blaabjerg and C. Guedes Soares.

  1. 1 Frede Blaabjerg Denmark 12k citations
  2. 2 C. Guedes Soares Portugal 2.7k citations

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

Where is Wind Energy Research and Development research done?

The largest centres of Wind Energy Research and Development research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Kongens Lyngby (Denmark). Among places with at least 20 works in it, it is an unusually large share of all research in Bremerhaven, Golden and Kongens Lyngby.

Largest cities, 2022–2025

  1. 1 Beijing China 259 works
  2. 2 Shanghai China 108 works
  3. 3 Nanjing China 103 works
  4. 4 Kongens Lyngby Denmark 72 works
  5. 5 Tehran Iran 69 works
  6. 6 Delft Netherlands 69 works
  7. 7 Guangzhou China 58 works
  8. 8 Harbin China 57 works
  9. 9 Golden United States 54 works
  10. 10 Qingdao China 51 works

Where it is the local speciality

  1. BremerhavenDE · 20.9 works61×
  2. GoldenUS · 54.5 works37×
  3. Kongens LyngbyDK · 72.4 works25×
  4. RichardsonUS · 20.0 works16×
  5. DelftNL · 68.5 works16×
← less than its size predictsmore →

Location quotient: how much more of its research is in Wind Energy Research and Development than the world average.

See Wind Energy Research and Development on the map

Where is the best place to study Wind Energy Research and Development?

Among universities, judged by research, Delft University of Technology, Technical University of Denmark and University of Strathclyde 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%50%100%mean 57.02%fractional works in this node (log) →share in the world top 10% →Delft University of Technology: 66, 62.2%Technical University of Denmark: 72, 51.3%University of Strathclyde: 33, 51.2%Carl von Ossietzky Universität Oldenburg: 15, 53.7%Ocean University of China: 26, 60.5%North China Electric Power University: 65, 46.5%Jeju National University: 10, 55.3%Iran University of Science and Technology: 10, 79.9%Hohai University: 33, 59.1%Maulana Azad National Institute of Technology: 12, 50.5%Delft University of …Carl von Ossietzky U…Technical University…University of Strath…
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 Delft University of TechnologyNetherlands 73.662.2%17.7×66 +38.3%
2 Technical University of DenmarkDenmark 71.151.3%25.4×72 +42.1%
3 University of StrathclydeUnited Kingdom 68.751.2%22.5×33 +128.5%
4 Carl von Ossietzky Universität OldenburgGermany 64.453.7%18.5×15 +189.8%
5 Ocean University of ChinaChina 63.460.5%9.4×26 +91.4%
6 North China Electric Power UniversityChina 61.746.5%17.6×65 +0.3%
7 Jeju National UniversitySouth Korea 61.455.3%17.1×10 +611.9%
8 Iran University of Science and TechnologyIran 61.379.9%6.8×10 +498.8%
9 Hohai UniversityChina 60.859.1%10.7×33 -3.3%
10 Maulana Azad National Institute of TechnologyIndia 59.150.5%14.7×12 +367.8%

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 Wind Energy Research and Development research growing?

Output in 2018–2022 was 37% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Wind Energy Research and Development.

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.