Wind Power Engineering (Japan)
In research, Wind Power Engineering (Japan) stands highest in Physical Sciences (#2,835 of 10,670 worldwide) and Engineering (#1,663 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Control and Systems Engineering, Aerospace Engineering and Civil and Structural Engineering (Control and Systems Engineering is 8.5× its share of world research).
- World rank, 2022-now
- #9,102 of 22,385 · #13,117 all time
- Rank in Japan
- #215 of 924
- Research works
- 663 ▲ 272% vs 2018-21
- Citations
- 4.7k 7.1 per fractional work
- Top-10% rate
- 7.6% all institutions 10.0%
- vs its own fields
- 1.00× 1.00× is exactly expected
- Open access
- 41% world 40%
- International
- 64% world 18%
What is Wind Power Engineering (Japan) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #2,835 of 10,670 | 6.4% | 233 | #5472 | |
| EngineeringField | #1,663 of 5,901 | 6.6% | 178 | #3378 |
Each strip is that field's whole ranked pool, with the notch where Wind Power Engineering (Japan) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Wind Power Engineering (Japan) work in?
In 2022-now, 90% of research at Wind Power Engineering (Japan) is in Physical Sciences, 5% in Social Sciences. Its largest fields are Engineering (69%), Computer Science (6%), Environmental Science (6%). It does 2.3× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 25 fields, with their numbers
- Physical Sciences32190.1%
- Engineering24468.5%
- Computer Science215.9%
- Environmental Science205.6%
- Materials Science123.3%
- Energy92.4%
- Earth and Planetary Sciences82.4%
- Physics and Astronomy41.2%
- Chemical Engineering10.3%
- Chemistry10.3%
- Mathematics10.2%
- Social Sciences174.9%
- Health Sciences123.3%
- Medicine92.5%
- Health Professions30.7%
- Veterinary00.0%
- Nursing00.0%
- Life Sciences61.7%
What does Wind Power Engineering (Japan) specialise in?
Where its research is concentrated relative to its size: Control and Systems Engineering takes 8.5× the share of its output that it takes of world research.
- Control and Systems EngineeringSubfield · 32.8 works8.5×
- Aerospace EngineeringSubfield · 33.4 works8.0×
- Civil and Structural EngineeringSubfield · 25.0 works6.0×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Engineering, 4.6×. Every wedge is a field page.
All 24 fields, with their numbers
- Engineering4.57×244 works
- Energy2.65×9 works
- Earth and Planetary Sciences1.52×8 works
- Environmental Science1.14×20 works
- Chemical Engineering0.96×1 works
- Materials Science0.93×12 works
- Computer Science0.76×21 works
- Physics and Astronomy0.53×4 works
- Decision Sciences0.51×2 works
- Veterinary0.34×0 works
- Economics, Econometrics and Finance0.29×2 works
- Health Professions0.27×2 works
- Arts and Humanities0.27×3 works
- Agricultural and Biological Sciences0.25×4 works
- Business, Management and Accounting0.24×3 works
- Mathematics0.19×1 works
- Psychology0.19×2 works
- Chemistry0.18×1 works
- Medicine0.13×9 works
- Social Sciences0.13×6 works
- Pharmacology, Toxicology and Pharmaceutics0.09×0 works
- Nursing0.09×0 works
- Neuroscience0.07×0 works
- Biochemistry, Genetics and Molecular Biology0.06×1 works
- Engineering 4.6×
- Energy 2.6×
- Earth and Planetary Sciences 1.5×
- Environmental Science 1.1×
- Chemical Engineering 1.0×
- Materials Science 0.9×
- Computer Science 0.8×
- Physics and Astronomy 0.5×
- Decision Sciences 0.5×
- Veterinary 0.3×
- Economics, Econometrics and Finance 0.3×
- Health Professions 0.3×
- Arts and Humanities 0.3×
- Agricultural and Biological Sciences 0.2×
- Business, Management and Accounting 0.2×
- Mathematics 0.2×
- Psychology 0.2×
- Chemistry 0.2×
- Medicine 0.1×
- Social Sciences 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Nursing 0.1×
- Neuroscience 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
Who are the top researchers at Wind Power Engineering (Japan)?
Ranked on the quality score, Grant Lavell Whitmer III, Naoki Kiyotani and Ryoji SASAKI lead among researchers whose main affiliation is Wind Power Engineering (Japan).
- 1
Grant Lavell Whitmer III
Japan · #2,666,371 worldwide 0 citations · 40 works
- 2
Naoki Kiyotani
Japan · #4,295,383 worldwide 0 citations · 20 works
- 3
Ryoji SASAKI
Japan · #5,183,308 worldwide 40 citations · 19 works
- 4
Yoshiyuki Fugo
Japan · #5,212,198 worldwide 8 citations · 56 works
- 5
Koichi MIYASHITA
Japan · #6,047,992 worldwide 221 citations · 61 works
Which keywords describe research at Wind Power Engineering (Japan)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Renewable Energy, Power Electronics, CFD Simulation, Aerodynamics, Offshore Wind Farms, Weibull Distribution, Tidal Energy and Wind Turbine Wakes.
- Control Systems
- Wave Energy
- Air Quality
- Energy Storage Systems
- Condition Monitoring
- Frequency Control
- Decentralized Control
- Power Systems
- Heat Transfer
- Wavelet Transform
- Fault Diagnosis
- Renewable Energy Integration
- Turbulent Flow
- Wind Power
- Vibration Analysis
- Tidal Energy
- Neural Networks
- Offshore Wind Farms
- CFD Simulation
- Deep Learning
- Renewable Energy
- Power Electronics
- Aerodynamics
- Machine Learning
- Weibull Distribution
- Wind Turbine Wakes
- Control Strategies
- Smart Grid
- Grid Integration
- Energy Storage
- Numerical Simulation
- Nonlinear Dynamics
- Large-Eddy Simulation
- Smart Grid Applications
- Doubly Fed Induction Generator
- Boundary Layer
- Empirical Mode Decomposition
- Fluid-Structure Interaction
- Power Take-Off
- Power System
Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Renewable Energy67▲ 13×26 topics
- Deep Learning28▲ 2.3×33 topics
- Power Electronics28▲ 24×8 topics
- CFD Simulation27▲ 66×4 topics
- Aerodynamics23▲ 91×3 topics
- Offshore Wind Farms22▲ 100×2 topics
- Machine Learning20▲ 1.71×27 topics
- Neural Networks19▲ 3.5×18 topics
- Weibull Distribution18▲ 110×2 topics
- Tidal Energy18▲ 173×1 topic
- Wind Turbine Wakes18▲ 173×1 topic
- Vibration Analysis17▲ 17×7 topics
- Control Strategies17▲ 33×5 topics
- Wind Power16▲ 50×4 topics
- Smart Grid16▲ 12×9 topics
- Turbulent Flow16▲ 38×4 topics
- Grid Integration15▲ 41×3 topics
- Renewable Energy Integration13▲ 11×5 topics
- Energy Storage13▲ 5.5×10 topics
- Fault Diagnosis12▲ 24×4 topics
- Numerical Simulation11▲ 11×12 topics
- Wavelet Transform11▲ 13×5 topics
- Nonlinear Dynamics11▲ 14×4 topics
- Heat Transfer11▲ 6.0×15 topics
- Large-Eddy Simulation10▲ 15×5 topics
- Power Systems10▲ 26×2 topics
- Smart Grid Applications9▲ 20×2 topics
- Decentralized Control9▲ 22×2 topics
- Doubly Fed Induction Generator9▲ 140×1 topic
- Frequency Control9▲ 140×1 topic
- Boundary Layer9▲ 20×3 topics
- Condition Monitoring9▲ 42×1 topic
- Empirical Mode Decomposition9▲ 43×1 topic
- Energy Storage Systems9▲ 17×2 topics
- Fluid-Structure Interaction9▲ 16×6 topics
- Air Quality8▲ 13×3 topics
- Power Take-Off8▲ 113×1 topic
- Wave Energy8▲ 113×1 topic
- Power System8▲ 27×4 topics
- Control Systems8▲ 12×6 topics
Which research topics does Wind Power Engineering (Japan) publish most on?
By volume in 2022-now: Wind Energy Research and Development, Wind Turbine Control Systems, Machine Fault Diagnosis Techniques and Wave and Wind Energy Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Wind Energy Research and Development Aerospace Engineering 18 works
- 2 Wind Turbine Control Systems Electrical and Electronic Engineering 9 works
- 3 Machine Fault Diagnosis Techniques Control and Systems Engineering 9 works
- 4 Wave and Wind Energy Systems Ocean Engineering 8 works
- 5 Microgrid Control and Optimization Control and Systems Engineering 8 works
- 6 Wind and Air Flow Studies Environmental Engineering 8 works
- 7 Energy Load and Power Forecasting Electrical and Electronic Engineering 7 works
- 8 Fluid Dynamics and Vibration Analysis Computational Mechanics 7 works
- 9 Structural Health Monitoring Techniques Civil and Structural Engineering 6 works
- 10 Power Systems and Renewable Energy Energy Engineering and Power Technology 5 works
How open and international is its research?
Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Wind Power Engineering (Japan)'s research output changed?
Output in 2022-2025 was 272% higher than in 2018-2021.
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 Wind Power Engineering (Japan) as a percentage of every work published that year, 0.0012% in 2024.
Fractional works of Wind Power Engineering (Japan) 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, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 7.2% in 2025.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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