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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Physical Sciences#3,600 #1,746
- Plant Science#616 #214
- Engineering#2,933 #1,270
- Computer Science#1,373 #902
- Environmental Science#1,331 #752
- Agricultural and Biological Sciences#1,419 #855
- Life Sciences#5,078 #2,863
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.
- Analytical ChemistrySubfield · 24.9 works19×
- Plant ScienceSubfield · 107.8 works9.2×
- EcologySubfield · 35.5 works6.8×
- Environmental EngineeringSubfield · 20.5 works5.7×
- Computer Vision and Pattern RecognitionSubfield · 42.1 works5.0×
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: Agricultural and Biological Sciences, 4.6×. Every wedge is a field page.
- Agricultural and Biological Sciences 4.6×
- Veterinary 4.3×
- Environmental Science 3.6×
- Chemistry 2.8×
- Computer Science 2.5×
- Earth and Planetary Sciences 1.5×
- Engineering 1.3×
- Physics and Astronomy 1.0×
- Biochemistry, Genetics and Molecular Biology 0.9×
- Chemical Engineering 0.6×
- Materials Science 0.4×
- Neuroscience 0.3×
- Immunology and Microbiology 0.3×
- Energy 0.2×
- Business, Management and Accounting 0.2×
- Economics, Econometrics and Finance 0.2×
- Decision Sciences 0.1×
- Nursing 0.1×
- Social Sciences 0.1×
- Medicine 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Mathematics 0.1×
- Psychology 0.1×
- Dentistry 0.0×
- Health Professions 0.0×
- Arts and Humanities 0.0×
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 Wenqian Huang China · #121,103 worldwide 194 citations · 34 works
- 2 Jiangbo Li China · #176,336 worldwide 302 citations · 65 works
- 3 Tianen Chen China · #186,018 worldwide 85 citations · 26 works
- 4 Xinting Yang China · #190,451 worldwide 176 citations · 37 works
- 5 Lin Yuan China · #202,561 worldwide 190 citations · 28 works
- 6 Chao Zhou China · #219,066 worldwide 121 citations · 22 works
- 7 Wenjiang Huang China · #235,158 worldwide 119 citations · 18 works
- 8 Jihua Wang China · #258,830 worldwide 218 citations · 54 works
- 9 Huarui Wu China · #304,671 worldwide 83 citations · 24 works
- 10 Xiaoyu Song China · #341,828 worldwide 190 citations · 45 works
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.
- Estimation
- Forest Carbon Stocks
- Artificial Neural Network
- Plant Architecture
- Plant Growth
- Water Quality Monitoring
- Smart Sensors
- IoT
- Land Use Change
- Variable Selection
- Near-Infrared Spectroscopy
- Quality Assessment
- Machine Vision
- Vegetation Monitoring
- Global Change
- Climate Change
- Smart Farming
- Image Processing
- Environmental Monitoring
- Machine Learning
- Deep Learning
- Remote Sensing
- Wireless Sensor Networks
- Plant Disease Detection
- Biomass Estimation
- Hyperspectral Imaging
- Phenology
- Neural Networks
- Food Authentication
- Principal Component Analysis
- Multivariate Calibration
- Computer Vision
- Sensor Networks
- Aquaculture
- Fish Behavior Analysis
- Terrestrial Laser Scanning
- Functional–Structural Plant Modelling
- Aboveground Biomass
- Allometric Models
- Lidar Remote Sensing
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
- Deep Learning116▲ 5.1×66 topics
- Machine Learning114▲ 5.2×52 topics
- Remote Sensing77▲ 9.3×26 topics
- Environmental Monitoring62▲ 24×6 topics
- Wireless Sensor Networks52▲ 17×13 topics
- Image Processing48▲ 16×10 topics
- Plant Disease Detection44▲ 63×1 topic
- Smart Farming44▲ 57×1 topic
- Biomass Estimation42▲ 41×3 topics
- Climate Change38▲ 2.1×48 topics
- Hyperspectral Imaging35▲ 18×7 topics
- Global Change32▲ 18×5 topics
- Phenology30▲ 72×1 topic
- Vegetation Monitoring30▲ 72×1 topic
- Neural Networks27▲ 2.6×29 topics
- Machine Vision26▲ 17×6 topics
- Food Authentication25▲ 34×2 topics
- Quality Assessment23▲ 19×2 topics
- Principal Component Analysis22▲ 23×2 topics
- Near-Infrared Spectroscopy22▲ 36×2 topics
- Multivariate Calibration22▲ 47×1 topic
- Variable Selection22▲ 33×1 topic
- Computer Vision21▲ 12×3 topics
- Land Use Change20▲ 9.7×7 topics
- Sensor Networks19▲ 12×5 topics
- IoT19▲ 7.5×8 topics
- Aquaculture17▲ 9.6×6 topics
- Smart Sensors15▲ 26×2 topics
- Fish Behavior Analysis15▲ 36×1 topic
- Water Quality Monitoring15▲ 27×1 topic
- Terrestrial Laser Scanning13▲ 16×2 topics
- Plant Growth13▲ 17×5 topics
- Functional–Structural Plant Modelling12▲ 83×1 topic
- Plant Architecture12▲ 83×1 topic
- Aboveground Biomass12▲ 19×2 topics
- Artificial Neural Network12▲ 18×4 topics
- Allometric Models11▲ 34×2 topics
- Forest Carbon Stocks11▲ 27×1 topic
- Lidar Remote Sensing11▲ 27×1 topic
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Agriculture and AI Plant Science 44 works
- 2 Remote Sensing in Agriculture Ecology 30 works
- 3 Spectroscopy and Chemometric Analyses Analytical Chemistry 22 works
- 4 Water Quality Monitoring Technologies Water Science and Technology 15 works
- 5 Greenhouse Technology and Climate Control Plant Science 12 works
- 6 Remote Sensing and LiDAR Applications Environmental Engineering 11 works
- 7 Leaf Properties and Growth Measurement Plant Science 11 works
- 8 Remote Sensing and Land Use Atmospheric Science 10 works
- 9 Water Quality Monitoring and Analysis Industrial and Manufacturing Engineering 8 works
- 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.
World: 28% of research is openly available.
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.
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.