China Centre for Resources Satellite Data and Application
In research, China Centre for Resources Satellite Data and Application stands highest in Physical Sciences (#4,434 of 12,888 worldwide) and Engineering (#4,320 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Atmospheric Science, Aerospace Engineering and Earth and Planetary Sciences — Atmospheric Science is 27.2× its share of world research.
- World rank, 2022–2025
- #7,909 of 28,054 · #15,297 all time
- Rank in China
- #1,561 of 3,058
- Research works
- 412 ▲ 157% vs 2013–17
- Citations
- 2.7k 6.5 per fractional work
- Top-10% rate
- 23.1% record average 16.5%
- Open access
- 41% world 28%
What is China Centre for Resources Satellite Data and Application known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #4,434 of 12,888 | 23.5% | 187 | #8747 | |
| EngineeringField | #4,320 of 6,636 | 25.7% | 75 | #7555 |
Each strip is that field’s whole ranked pool, with the notch where China Centre for Resources Satellite Data and Application 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 world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does China Centre for Resources Satellite Data and Application specialise in?
Where its research is concentrated relative to its size: Atmospheric Science takes 27.2× the share of its output that it takes of world research.
- Atmospheric ScienceSubfield · 24.0 works27×
- Aerospace EngineeringSubfield · 37.4 works16×
- Earth and Planetary SciencesField · 34.7 works11×
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: Earth and Planetary Sciences, 11.1×. Every wedge is a field page.
- Earth and Planetary Sciences 11.1×
- Environmental Science 4.9×
- Engineering 2.5×
- Computer Science 1.5×
- Decision Sciences 1.1×
- Physics and Astronomy 0.5×
- Business, Management and Accounting 0.3×
- Energy 0.3×
- Agricultural and Biological Sciences 0.2×
- Neuroscience 0.2×
- Chemistry 0.2×
- Nursing 0.2×
- Economics, Econometrics and Finance 0.2×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Biochemistry, Genetics and Molecular Biology 0.0×
- Materials Science 0.0×
- Mathematics 0.0×
- Medicine 0.0×
- Health Professions 0.0×
Who are the top researchers at China Centre for Resources Satellite Data and Application?
Ranked on the composite score, Shucheng You, Fan Mo and Xinming Tang lead among researchers whose main affiliation is China Centre for Resources Satellite Data and Application.
- 1 Shucheng You China · #857,770 worldwide 16 citations · 16 works
- 2 Fan Mo China · #1,146,075 worldwide 49 citations · 29 works
- 3 Xinming Tang China · #1,353,691 worldwide 31 citations · 15 works
- 4 Tao Li China · #1,478,680 worldwide 26 citations · 26 works
Which keywords describe research at China Centre for Resources Satellite Data and Application?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Remote Sensing, Deep Learning, Land Use Change, Hyperspectral Imaging, Climate Change, Urban Heat Island, Biomass Estimation and Machine Learning.
- Convolutional Neural Network
- Micro-Doppler Effect
- Sea Level Rise
- Wavelet Transform
- Forest Carbon Stocks
- Satellite Observations
- Phenology
- High-Resolution Sensors
- Image Analysis
- Convolutional Neural Networks
- Classification
- Sparse Representation
- Hydrological Modeling
- SAR Interferometry
- Satellite Imagery
- Geohazards
- Biomass Estimation
- Hyperspectral Imaging
- Machine Learning
- Deep Learning
- Remote Sensing
- Climate Change
- Land Use Change
- Urban Heat Island
- Earthquake Damage
- Hyperspectral
- Support Vector Machines
- Surface Deformation Monitoring
- Climate
- Feature Extraction
- Terrestrial Laser Scanning
- Change Detection
- Geometric Processing
- Global Change
- Vegetation Monitoring
- Aboveground Biomass
- Lidar Remote Sensing
- Detection
- Signal Processing
- Synthetic Aperture Radar
Size is fractional works in 2022–2025 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
- Remote Sensing74▲ 30×32 topics
- Deep Learning28▲ 4.0×37 topics
- Climate Change22▲ 4.0×35 topics
- Machine Learning21▲ 3.2×28 topics
- Land Use Change20▲ 33×7 topics
- Hyperspectral Imaging19▲ 33×6 topics
- Urban Heat Island16▲ 81×2 topics
- Biomass Estimation15▲ 50×3 topics
- Earthquake Damage13▲ 148×1 topic
- Geohazards13▲ 128×1 topic
- Hyperspectral12▲ 71×2 topics
- Satellite Imagery11▲ 43×3 topics
- Support Vector Machines11▲ 18×6 topics
- SAR Interferometry11▲ 254×1 topic
- Surface Deformation Monitoring11▲ 254×1 topic
- Hydrological Modeling10▲ 22×5 topics
- Climate10▲ 58×2 topics
- Sparse Representation10▲ 26×5 topics
- Feature Extraction10▲ 11×4 topics
- Classification9▲ 10×3 topics
- Terrestrial Laser Scanning9▲ 36×2 topics
- Convolutional Neural Networks9▲ 6.1×7 topics
- Change Detection9▲ 62×1 topic
- Image Analysis9▲ 45×1 topic
- Geometric Processing8▲ 662×1 topic
- High-Resolution Sensors8▲ 662×1 topic
- Global Change8▲ 15×4 topics
- Phenology8▲ 62×1 topic
- Vegetation Monitoring8▲ 62×1 topic
- Satellite Observations8▲ 40×3 topics
- Aboveground Biomass8▲ 42×2 topics
- Forest Carbon Stocks7▲ 58×1 topic
- Lidar Remote Sensing7▲ 58×1 topic
- Wavelet Transform6▲ 14×3 topics
- Detection6▲ 10.0×3 topics
- Sea Level Rise6▲ 23×3 topics
- Signal Processing6▲ 21×2 topics
- Micro-Doppler Effect6▲ 99×1 topic
- Synthetic Aperture Radar6▲ 99×1 topic
- Convolutional Neural Network5▲ 17×4 topics
Which research topics does China Centre for Resources Satellite Data and Application publish most on?
By volume in 2022–2025: Remote Sensing and Land Use, Synthetic Aperture Radar (SAR) Applications and Techniques, Remote-Sensing Image Classification and Satellite Image Processing and Photogrammetry.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Remote Sensing and Land Use Atmospheric Science 13 works
- 2 Synthetic Aperture Radar (SAR) Applications and Techniques Aerospace Engineering 11 works
- 3 Remote-Sensing Image Classification Media Technology 9 works
- 4 Satellite Image Processing and Photogrammetry Ocean Engineering 8 works
- 5 Remote Sensing in Agriculture Ecology 8 works
- 6 Remote Sensing and LiDAR Applications Environmental Engineering 7 works
- 7 Advanced SAR Imaging Techniques Aerospace Engineering 6 works
- 8 Infrared Target Detection Methodologies Aerospace Engineering 5 works
- 9 Calibration and Measurement Techniques Aerospace Engineering 5 works
- 10 Advanced Image Fusion Techniques Media Technology 4 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: 28% of research is openly available.
World: 19% is written across borders.
How has China Centre for Resources Satellite Data and Application's research output changed?
Output in 2018–2022 was 157% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.