Heilongjiang Academy of Agricultural Machinery Engineering
In research, Heilongjiang Academy of Agricultural Machinery Engineering stands highest in Physical Sciences (#13,914 of 21,541 worldwide), Agricultural and Biological Sciences (#4,887 of 6,031 worldwide) and Plant Science (#2,577 of 2,837 worldwide), over all time. Relative to its size it is most specialised in Plant Science and Agricultural and Biological Sciences — Plant Science is 12.4× its share of world research.
- World rank, 2022–2025
- #15,145 of 28,054 · #23,391 all time
- Rank in China
- #2,438 of 3,058
- Research works
- 646 ▼ 57% vs 2013–17
- Citations
- 2.2k 3.4 per fractional work
- Top-10% rate
- 19.3% record average 16.5%
- Open access
- 17% world 28%
What is Heilongjiang Academy of Agricultural Machinery Engineering known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #13,914 of 21,541 | 5.4% | 309 | |
| Agricultural and Biological SciencesField | #4,887 of 6,031 | 8.1% | 229 | |
| Plant ScienceSubfield | #2,577 of 2,837 | 8.9% | 164 | |
| Life SciencesDomain | #13,486 of 14,347 | 8.5% | 274 | |
| EngineeringField | #11,009 of 11,412 | 5.2% | 164 |
Each strip is that field’s whole ranked pool, with the notch where Heilongjiang Academy of Agricultural Machinery Engineering 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 Heilongjiang Academy of Agricultural Machinery Engineering specialise in?
Where its research is concentrated relative to its size: Plant Science takes 12.4× the share of its output that it takes of world research.
- Plant ScienceSubfield · 23.6 works12×
- Agricultural and Biological SciencesField · 37.2 works7.2×
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, 7.2×. Every wedge is a field page.
- Agricultural and Biological Sciences 7.2×
- Nursing 3.0×
- Engineering 2.0×
- Veterinary 1.9×
- Biochemistry, Genetics and Molecular Biology 1.6×
- Materials Science 1.2×
- Environmental Science 1.2×
- Energy 0.9×
- Earth and Planetary Sciences 0.9×
- Pharmacology, Toxicology and Pharmaceutics 0.9×
- Computer Science 0.6×
- Chemistry 0.6×
- Immunology and Microbiology 0.5×
- Neuroscience 0.5×
- Mathematics 0.3×
- Dentistry 0.2×
- Medicine 0.2×
- Chemical Engineering 0.2×
- Health Professions 0.1×
- Psychology 0.1×
- Economics, Econometrics and Finance 0.1×
- Decision Sciences 0.0×
- Social Sciences 0.0×
Who are the top researchers at Heilongjiang Academy of Agricultural Machinery Engineering?
Ranked on the composite score, Xu Tao, Qingying Meng and Nannan Wang lead among researchers whose main affiliation is Heilongjiang Academy of Agricultural Machinery Engineering.
- 1 Xu Tao China · #979,020 worldwide 6 citations · 20 works
- 2 Qingying Meng China · #1,082,919 worldwide 30 citations · 27 works
- 3 Nannan Wang China · #1,180,087 worldwide 34 citations · 30 works
Which keywords describe research at Heilongjiang Academy of Agricultural Machinery Engineering?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Soil Mechanics, Terrain Interaction, Deep Learning, Wireless Sensor Networks, Machine Learning, Image Processing, Mechanical Properties and Moisture Content.
- Epigenetic Regulation
- Machine Vision
- Stress Signaling
- Soybean
- Agronomic Traits
- Phylogenetic Analysis
- Microbial Communities
- Reactive Oxygen Species
- Signal Transduction
- Metabolism
- Antioxidants
- Plant Responses
- QTL Mapping
- Gene Expression
- Remote Sensing
- Physical Properties
- Moisture Content
- Wireless Sensor Networks
- Terrain Interaction
- Machine Learning
- Deep Learning
- Soil Mechanics
- Mechanical Properties
- Image Processing
- Oxidative Stress
- Environmental Monitoring
- Drought Resistance
- Plant Disease Detection
- Smart Farming
- Drought Tolerance
- Genetic Diversity
- Genome Analysis
- Abiotic Stress
- Genome Sequencing
- Nitrogen Fixation
- Domestication
- Quantitative Trait Loci
- Salt Tolerance
- Fermentation
- Transcription Factors
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 Learning9▲ 2.4×16 topics
- Machine Learning8▲ 2.4×20 topics
- Soil Mechanics6▲ 256×1 topic
- Terrain Interaction6▲ 256×1 topic
- Mechanical Properties5▲ 5.0×6 topics
- Wireless Sensor Networks5▲ 9.5×6 topics
- Image Processing4▲ 9.2×4 topics
- Moisture Content4▲ 329×1 topic
- Oxidative Stress4▲ 2.4×16 topics
- Physical Properties4▲ 189×1 topic
- Environmental Monitoring4▲ 10.0×2 topics
- Remote Sensing4▲ 3.1×14 topics
- Drought Resistance4▲ 37×3 topics
- Gene Expression4▲ 5.7×6 topics
- Plant Disease Detection4▲ 34×1 topic
- QTL Mapping4▲ 29×4 topics
- Smart Farming4▲ 30×1 topic
- Plant Responses3▲ 40×2 topics
- Drought Tolerance3▲ 20×7 topics
- Antioxidants3▲ 5.8×4 topics
- Genetic Diversity3▲ 5.8×5 topics
- Metabolism3▲ 5.0×6 topics
- Genome Analysis3▲ 24×2 topics
- Signal Transduction3▲ 16×3 topics
- Abiotic Stress2▲ 31×2 topics
- Reactive Oxygen Species2▲ 5.4×2 topics
- Genome Sequencing2▲ 14×2 topics
- Microbial Communities2▲ 5.0×7 topics
- Nitrogen Fixation2▲ 30×2 topics
- Phylogenetic Analysis2▲ 6.9×6 topics
- Domestication2▲ 39×2 topics
- Agronomic Traits2▲ 120×1 topic
- Quantitative Trait Loci2▲ 35×3 topics
- Soybean2▲ 99×1 topic
- Salt Tolerance2▲ 39×1 topic
- Stress Signaling2▲ 39×1 topic
- Fermentation2▲ 13×4 topics
- Machine Vision2▲ 7.9×4 topics
- Transcription Factors2▲ 15×3 topics
- Epigenetic Regulation2▲ 7.8×4 topics
Which research topics does Heilongjiang Academy of Agricultural Machinery Engineering publish most on?
By volume in 2022–2025: Soil Mechanics and Vehicle Dynamics, Agricultural Engineering and Mechanization, Smart Agriculture and AI and Soybean genetics and cultivation.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Soil Mechanics and Vehicle Dynamics Civil and Structural Engineering 6 works
- 2 Agricultural Engineering and Mechanization Mechanical Engineering 4 works
- 3 Smart Agriculture and AI Plant Science 4 works
- 4 Soybean genetics and cultivation Plant Science 2 works
- 5 Plant Stress Responses and Tolerance Plant Science 2 works
- 6 Legume Nitrogen Fixing Symbiosis Plant Science 2 works
- 7 Crop Yield and Soil Fertility Agronomy and Crop Science 1 works
- 8 GABA and Rice Research Plant Science 1 works
- 9 Food Drying and Modeling Food Science 1 works
- 10 Proteins in Food Systems Food Science 1 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 Heilongjiang Academy of Agricultural Machinery Engineering's research output changed?
Output in 2018–2022 was 57% lower 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 Harbin
- Harbin Institute of Technology
- Harbin Engineering University
- Northeast Forestry University
- Northeast Agricultural University
- Harbin Medical University
- Harbin University of Science and Technology
- Heilongjiang University
- Harbin University of Commerce
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.