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Research facility · Beijing · China

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Atmospheric ScienceSubfield · 24.0 works27×
  2. Aerospace EngineeringSubfield · 37.4 works16×
  3. Earth and Planetary SciencesField · 34.7 works11×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.22× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.04× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 0.21× its world share, 1 worksNeuroscienceChemistry: 0.20× its world share, 1 worksChemistryComputer Science: 1.54× its world share, 24 worksComputer ScienceEarth and Planetary Sciences: 11.09× its world share, 35 worksEarth and Planetary …Energy: 0.27× its world share, 0 worksEnergyEngineering: 2.52× its world share, 75 worksEngineeringEnvironmental Science: 4.92× its world share, 49 worksEnvironmental ScienceMaterials Science: 0.04× its world share, 0 worksMaterials ScienceMathematics: 0.03× its world share, 0 worksMathematicsPhysics and Astronomy: 0.54× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.02× its world share, 0 worksHealth ProfessionsMedicine: 0.03× its world share, 1 worksMedicineNursing: 0.17× its world share, 0 worksNursingArts and Humanities: 0.08× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.35× its world share, 2 worksBusiness, Management…Decision Sciences: 1.12× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.16× its world share, 1 worksEconomics, Econometr…Social Sciences: 0.12× its world share, 3 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Earth and Planetary Sciences, 11.1×. Every wedge is a field page.

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. 1 Shucheng You China · #857,770 worldwide 16 citations · 16 works
  2. 2 Fan Mo China · #1,146,075 worldwide 49 citations · 29 works
  3. 3 Xinming Tang China · #1,353,691 worldwide 31 citations · 15 works
  4. 4 Tao Li China · #1,478,680 worldwide 26 citations · 26 works
All ranked researchers at China Centre for Resources Satellite Data and Application

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Remote Sensing74▲ 30×32 topics
  2. Deep Learning28▲ 4.0×37 topics
  3. Climate Change22▲ 4.0×35 topics
  4. Machine Learning21▲ 3.2×28 topics
  5. Land Use Change20▲ 33×7 topics
  6. Hyperspectral Imaging19▲ 33×6 topics
  7. Urban Heat Island16▲ 81×2 topics
  8. Biomass Estimation15▲ 50×3 topics
  9. Earthquake Damage13▲ 148×1 topic
  10. Geohazards13▲ 128×1 topic
  11. Hyperspectral12▲ 71×2 topics
  12. Satellite Imagery11▲ 43×3 topics
  13. Support Vector Machines11▲ 18×6 topics
  14. SAR Interferometry11▲ 254×1 topic
  15. Surface Deformation Monitoring11▲ 254×1 topic
  16. Hydrological Modeling10▲ 22×5 topics
  17. Climate10▲ 58×2 topics
  18. Sparse Representation10▲ 26×5 topics
  19. Feature Extraction10▲ 11×4 topics
  20. Classification9▲ 10×3 topics
  21. Terrestrial Laser Scanning9▲ 36×2 topics
  22. Convolutional Neural Networks9▲ 6.1×7 topics
  23. Change Detection9▲ 62×1 topic
  24. Image Analysis9▲ 45×1 topic
  25. Geometric Processing8▲ 662×1 topic
  26. High-Resolution Sensors8▲ 662×1 topic
  27. Global Change8▲ 15×4 topics
  28. Phenology8▲ 62×1 topic
  29. Vegetation Monitoring8▲ 62×1 topic
  30. Satellite Observations8▲ 40×3 topics
  31. Aboveground Biomass8▲ 42×2 topics
  32. Forest Carbon Stocks7▲ 58×1 topic
  33. Lidar Remote Sensing7▲ 58×1 topic
  34. Wavelet Transform6▲ 14×3 topics
  35. Detection6▲ 10.0×3 topics
  36. Sea Level Rise6▲ 23×3 topics
  37. Signal Processing6▲ 21×2 topics
  38. Micro-Doppler Effect6▲ 99×1 topic
  39. Synthetic Aperture Radar6▲ 99×1 topic
  40. 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.

  1. 1 Remote Sensing and Land Use Atmospheric Science 13 works
  2. 2 Synthetic Aperture Radar (SAR) Applications and Techniques Aerospace Engineering 11 works
  3. 3 Remote-Sensing Image Classification Media Technology 9 works
  4. 4 Satellite Image Processing and Photogrammetry Ocean Engineering 8 works
  5. 5 Remote Sensing in Agriculture Ecology 8 works
  6. 6 Remote Sensing and LiDAR Applications Environmental Engineering 7 works
  7. 7 Advanced SAR Imaging Techniques Aerospace Engineering 6 works
  8. 8 Infrared Target Detection Methodologies Aerospace Engineering 5 works
  9. 9 Calibration and Measurement Techniques Aerospace Engineering 5 works
  10. 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.

openly available41.4%not open58.6%

World: 28% of research is openly available.

with international co-authors10.2%domestic only89.8%

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.

200020102020
grewheldshrank

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

All research institutions in Beijing

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.