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Research facility · Beijing · China

National Engineering Research Center for Information Technology in Agriculture

In research, National Engineering Research Center for Information Technology in Agriculture stands highest in Physical Sciences (#1,746 of 12,888 worldwide), Plant Science (#214 of 1,395 worldwide) and Engineering (#1,270 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Analytical Chemistry, Plant Science and Ecology — Analytical Chemistry is 19.2× its share of world research.

World rank, 2022–2025
#2,402
of 28,054 · #4,785 all time
Rank in China
#621
of 3,058
Research works
2.1k
▲ 114% vs 2013–17
Citations
40k
18.9 per fractional work
Top-10% rate
39.8%
record average 16.5%
Open access
38%
world 28%

What is National Engineering Research Center for Information Technology in Agriculture 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 #1,746 of 12,888 36.7%450 #3600
Plant ScienceSubfield #214 of 1,395 52.8%108 #616
EngineeringField #1,270 of 6,636 37.4%133 #2933
Computer ScienceField #902 of 4,667 30.5%128 #1373
Environmental ScienceField #752 of 3,551 42.8%119 #1331
Agricultural and Biological SciencesField #855 of 3,409 51.8%147 #1419
Life SciencesDomain #2,863 of 7,800 50.2%184 #5078

Each strip is that field’s whole ranked pool, with the notch where National Engineering Research Center for Information Technology in Agriculture 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Physical Sciences#3,600 #1,746
  2. Plant Science#616 #214
  3. Engineering#2,933 #1,270
  4. Computer Science#1,373 #902
  5. Environmental Science#1,331 #752
  6. Agricultural and Biological Sciences#1,419 #855
  7. Life Sciences#5,078 #2,863
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does National Engineering Research Center for Information Technology in Agriculture specialise in?

Where its research is concentrated relative to its size: Analytical Chemistry takes 19.2× the share of its output that it takes of world research.

  1. Analytical ChemistrySubfield · 24.9 works19×
  2. Plant ScienceSubfield · 107.8 works9.2×
  3. EcologySubfield · 35.5 works6.8×
  4. Environmental EngineeringSubfield · 20.5 works5.7×
  5. Computer Vision and Pattern RecognitionSubfield · 42.1 works5.0×
← 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: 4.61× its world share, 147 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.91× its world share, 33 worksBiochemistry, Geneti…Immunology and Microbiology: 0.26× its world share, 2 worksImmunology and Micro…Neuroscience: 0.31× its world share, 3 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.06× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.62× its world share, 1 worksChemical EngineeringChemistry: 2.75× its world share, 29 worksChemistryComputer Science: 2.46× its world share, 128 worksComputer ScienceEarth and Planetary Sciences: 1.46× its world share, 15 worksEarth and Planetary …Energy: 0.20× its world share, 1 worksEnergyEngineering: 1.32× its world share, 133 worksEngineeringEnvironmental Science: 3.57× its world share, 119 worksEnvironmental ScienceMaterials Science: 0.40× its world share, 9 worksMaterials ScienceMathematics: 0.05× its world share, 0 worksMathematicsPhysics and Astronomy: 0.96× its world share, 14 worksPhysics and AstronomyDentistry: 0.03× its world share, 0 worksDentistryHealth Professions: 0.03× its world share, 0 worksHealth ProfessionsMedicine: 0.08× its world share, 11 worksMedicineNursing: 0.14× its world share, 0 worksNursingVeterinary: 4.27× its world share, 4 worksVeterinaryArts and Humanities: 0.03× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.18× its world share, 4 worksBusiness, Management…Decision Sciences: 0.15× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.16× its world share, 2 worksEconomics, Econometr…Psychology: 0.05× its world share, 1 worksPsychologySocial Sciences: 0.12× its world share, 10 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Agricultural and Biological Sciences, 4.6×. Every wedge is a field page.

Who are the top researchers at National Engineering Research Center for Information Technology in Agriculture?

Ranked on the composite score, Wenqian Huang, Jiangbo Li and Tianen Chen lead among researchers whose main affiliation is National Engineering Research Center for Information Technology in Agriculture.

  1. 1 Wenqian Huang China · #121,103 worldwide 194 citations · 34 works
  2. 2 Jiangbo Li China · #176,336 worldwide 302 citations · 65 works
  3. 3 Tianen Chen China · #186,018 worldwide 85 citations · 26 works
  4. 4 Xinting Yang China · #190,451 worldwide 176 citations · 37 works
  5. 5 Lin Yuan China · #202,561 worldwide 190 citations · 28 works
  6. 6 Chao Zhou China · #219,066 worldwide 121 citations · 22 works
  7. 7 Wenjiang Huang China · #235,158 worldwide 119 citations · 18 works
  8. 8 Jihua Wang China · #258,830 worldwide 218 citations · 54 works
  9. 9 Huarui Wu China · #304,671 worldwide 83 citations · 24 works
  10. 10 Xiaoyu Song China · #341,828 worldwide 190 citations · 45 works
All ranked researchers at National Engineering Research Center for Information Technology in Agriculture

Which keywords describe research at National Engineering Research Center for Information Technology in Agriculture?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Remote Sensing, Environmental Monitoring, Wireless Sensor Networks, Image Processing, Plant Disease Detection and Smart Farming.

▲ 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. Deep Learning116▲ 5.1×66 topics
  2. Machine Learning114▲ 5.2×52 topics
  3. Remote Sensing77▲ 9.3×26 topics
  4. Environmental Monitoring62▲ 24×6 topics
  5. Wireless Sensor Networks52▲ 17×13 topics
  6. Image Processing48▲ 16×10 topics
  7. Plant Disease Detection44▲ 63×1 topic
  8. Smart Farming44▲ 57×1 topic
  9. Biomass Estimation42▲ 41×3 topics
  10. Climate Change38▲ 2.1×48 topics
  11. Hyperspectral Imaging35▲ 18×7 topics
  12. Global Change32▲ 18×5 topics
  13. Phenology30▲ 72×1 topic
  14. Vegetation Monitoring30▲ 72×1 topic
  15. Neural Networks27▲ 2.6×29 topics
  16. Machine Vision26▲ 17×6 topics
  17. Food Authentication25▲ 34×2 topics
  18. Quality Assessment23▲ 19×2 topics
  19. Principal Component Analysis22▲ 23×2 topics
  20. Near-Infrared Spectroscopy22▲ 36×2 topics
  21. Multivariate Calibration22▲ 47×1 topic
  22. Variable Selection22▲ 33×1 topic
  23. Computer Vision21▲ 12×3 topics
  24. Land Use Change20▲ 9.7×7 topics
  25. Sensor Networks19▲ 12×5 topics
  26. IoT19▲ 7.5×8 topics
  27. Aquaculture17▲ 9.6×6 topics
  28. Smart Sensors15▲ 26×2 topics
  29. Fish Behavior Analysis15▲ 36×1 topic
  30. Water Quality Monitoring15▲ 27×1 topic
  31. Terrestrial Laser Scanning13▲ 16×2 topics
  32. Plant Growth13▲ 17×5 topics
  33. Functional–Structural Plant Modelling12▲ 83×1 topic
  34. Plant Architecture12▲ 83×1 topic
  35. Aboveground Biomass12▲ 19×2 topics
  36. Artificial Neural Network12▲ 18×4 topics
  37. Allometric Models11▲ 34×2 topics
  38. Forest Carbon Stocks11▲ 27×1 topic
  39. Lidar Remote Sensing11▲ 27×1 topic
  40. Estimation11▲ 40×2 topics

Which research topics does National Engineering Research Center for Information Technology in Agriculture publish most on?

By volume in 2022–2025: Smart Agriculture and AI, Remote Sensing in Agriculture, Spectroscopy and Chemometric Analyses and Water Quality Monitoring Technologies.

  1. 1 Smart Agriculture and AI Plant Science 44 works
  2. 2 Remote Sensing in Agriculture Ecology 30 works
  3. 3 Spectroscopy and Chemometric Analyses Analytical Chemistry 22 works
  4. 4 Water Quality Monitoring Technologies Water Science and Technology 15 works
  5. 5 Greenhouse Technology and Climate Control Plant Science 12 works
  6. 6 Remote Sensing and LiDAR Applications Environmental Engineering 11 works
  7. 7 Leaf Properties and Growth Measurement Plant Science 11 works
  8. 8 Remote Sensing and Land Use Atmospheric Science 10 works
  9. 9 Water Quality Monitoring and Analysis Industrial and Manufacturing Engineering 8 works
  10. 10 Advanced Chemical Sensor Technologies Biomedical Engineering 8 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 available38.3%not open61.7%

World: 28% of research is openly available.

with international co-authors12.5%domestic only87.5%

World: 19% is written across borders.

How has National Engineering Research Center for Information Technology in Agriculture's research output changed?

Output in 2018–2022 was 114% higher than in 2013–2017.

20002005201020152020
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.