Great Wall Motors (China)
In research, Great Wall Motors (China) stands highest in Physical Sciences (#11,995 of 17,446 worldwide) and Engineering (#7,906 of 9,532 worldwide), over all time.
- World rank, all time
- #21,649 of 34,923
- Rank in China
- #1,988 of 2,919
- Research works
- 524 ▲ 58% vs 2018-21
- Citations
- 1.7k 3.3 per fractional work
- Top-10% rate
- 8.1% all institutions 10.0%
- vs its own fields
- 0.68× 1.00× is exactly expected
- Open access
- 13% world 40%
- International
- 5% world 18%
What is Great Wall Motors (China) 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 | #11,995 of 17,446 | 3.6% | 435 | |
| EngineeringField | #7,906 of 9,532 | 3.2% | 325 |
Each strip is that field's whole ranked pool, with the notch where Great Wall Motors (China) 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Great Wall Motors (China) work in?
In 2022-now, 77% of research at Great Wall Motors (China) is in Physical Sciences, 8% in Social Sciences. Its largest fields are Engineering (48%), Computer Science (15%), Medicine (6%). It does 1.9× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 22 fields, with their numbers
- Physical Sciences4977.3%
- Engineering3147.8%
- Computer Science914.8%
- Environmental Science23.2%
- Earth and Planetary Sciences22.6%
- Energy22.4%
- Materials Science11.9%
- Physics and Astronomy11.8%
- Chemistry11.7%
- Chemical Engineering11.2%
- Social Sciences57.8%
- Life Sciences57.7%
- Health Sciences57.2%
- Medicine46.2%
- Health Professions00.8%
- Nursing00.3%
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: Chemical Engineering, 3.5×. Every wedge is a field page.
All 22 fields, with their numbers
- Chemical Engineering3.48×1 works
- Engineering3.19×31 works
- Energy2.57×2 works
- Computer Science1.90×10 works
- Earth and Planetary Sciences1.65×2 works
- Agricultural and Biological Sciences1.23×4 works
- Chemistry1.10×1 works
- Business, Management and Accounting1.10×2 works
- Decision Sciences0.87×0 works
- Physics and Astronomy0.79×1 works
- Environmental Science0.64×2 works
- Economics, Econometrics and Finance0.61×1 works
- Materials Science0.53×1 works
- Nursing0.53×0 works
- Medicine0.32×4 works
- Health Professions0.30×0 works
- Biochemistry, Genetics and Molecular Biology0.28×1 works
- Immunology and Microbiology0.17×0 works
- Arts and Humanities0.17×0 works
- Neuroscience0.11×0 works
- Social Sciences0.10×1 works
- Psychology0.09×0 works
- Chemical Engineering 3.5×
- Engineering 3.2×
- Energy 2.6×
- Computer Science 1.9×
- Earth and Planetary Sciences 1.6×
- Agricultural and Biological Sciences 1.2×
- Chemistry 1.1×
- Business, Management and Accounting 1.1×
- Decision Sciences 0.9×
- Physics and Astronomy 0.8×
- Environmental Science 0.6×
- Economics, Econometrics and Finance 0.6×
- Materials Science 0.5×
- Nursing 0.5×
- Medicine 0.3×
- Health Professions 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Immunology and Microbiology 0.2×
- Arts and Humanities 0.2×
- Neuroscience 0.1×
- Social Sciences 0.1×
- Psychology 0.1×
Who are the top researchers at Great Wall Motors (China)?
Ranked on the quality score, Haichuan Zhang and Wu Dong lead among researchers whose main affiliation is Great Wall Motors (China).
- 1
Haichuan Zhang
China · #1,454,078 worldwide 171 citations · 34 works
- 2
Wu Dong
China · #5,060,746 worldwide 22 citations · 30 works
Which keywords describe research at Great Wall Motors (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Polyphenols, Fermentation, Microbial Modulation, Wine Yeasts, Sustainability and Electric Vehicles.
- Production Networks
- Global Value Chains
- Sparse Representation
- Optimization
- Chemical Kinetics
- Pose Estimation
- Grapevine
- Smart Manufacturing
- Remote Sensing
- Digital Twin
- Vibration Analysis
- Hydraulic Fracturing
- Support Vector Machines
- Electric Vehicles
- Neural Networks
- Mechanical Properties
- Nanoparticles
- Fermentation
- Machine Learning
- Sustainability
- Deep Learning
- Convolutional Neural Networks
- Polyphenols
- Microbial Modulation
- Wine Yeasts
- Supply Chain Management
- Beamforming
- Face Recognition
- Big Data
- Internet of Things
- Climate Change
- Fracture Propagation
- Shale Gas Reservoirs
- Genetics
- Model Predictive Control
- Thermal Management
- Computer Vision
- Renewable Energy
- Control Strategies
- Power Electronics
Size is fractional works in 2022-now 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 Learning6▲ 2.7×28 topics
- Sustainability3▲ 2.2×7 topics
- Convolutional Neural Networks3▲ 6.3×10 topics
- Machine Learning2▲ 1.17×19 topics
- Polyphenols2▲ 21×2 topics
- Fermentation2▲ 23×2 topics
- Microbial Modulation2▲ 98×1 topic
- Nanoparticles2▲ 2.3×6 topics
- Wine Yeasts2▲ 98×1 topic
- Mechanical Properties2▲ 2.7×9 topics
- Supply Chain Management2▲ 3.0×3 topics
- Neural Networks2▲ 1.60×9 topics
- Beamforming2▲ 23×3 topics
- Electric Vehicles2▲ 8.3×4 topics
- Face Recognition2▲ 21×2 topics
- Support Vector Machines2▲ 7.6×4 topics
- Big Data1▲ 2.3×2 topics
- Hydraulic Fracturing1▲ 21×2 topics
- Internet of Things1▲ 2.5×2 topics
- Vibration Analysis1▲ 8.2×4 topics
- Climate Change1▼ 0.73×2 topics
- Digital Twin1▲ 15×1 topic
- Fracture Propagation1▲ 34×1 topic
- Remote Sensing1▲ 1.61×8 topics
- Shale Gas Reservoirs1▲ 34×1 topic
- Smart Manufacturing1▲ 23×1 topic
- Genetics1▲ 2.6×1 topic
- Grapevine1▲ 48×1 topic
- Model Predictive Control1▲ 7.5×4 topics
- Pose Estimation1▲ 16×3 topics
- Thermal Management1▲ 5.7×3 topics
- Chemical Kinetics1▲ 19×2 topics
- Computer Vision1▲ 6.3×2 topics
- Optimization1▲ 4.0×5 topics
- Renewable Energy1▲ 1.17×9 topics
- Sparse Representation1▲ 9.0×3 topics
- Control Strategies1▲ 11×4 topics
- Global Value Chains1▲ 75×1 topic
- Power Electronics1▲ 4.9×5 topics
- Production Networks1▲ 75×1 topic
Which research topics does Great Wall Motors (China) publish most on?
By volume in 2022-now: Fermentation and Sensory Analysis, Hydraulic Fracturing and Reservoir Analysis, Digital Transformation in Industry and Horticultural and Viticultural Research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fermentation and Sensory Analysis Food Science 2 works
- 2 Hydraulic Fracturing and Reservoir Analysis Mechanical Engineering 1 works
- 3 Digital Transformation in Industry Industrial and Manufacturing Engineering 1 works
- 4 Horticultural and Viticultural Research Plant Science 1 works
- 5 Global trade, sustainability, and social impact Strategy and Management 1 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 7 Drilling and Well Engineering Ocean Engineering 1 works
- 8 Face recognition and analysis Computer Vision and Pattern Recognition 1 works
- 9 Direction-of-Arrival Estimation Techniques Signal Processing 1 works
- 10 Face and Expression Recognition Computer Vision and Pattern Recognition 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: 40% of research is openly available.
World: 18% is written across borders.
How has Great Wall Motors (China)'s research output changed?
Output in 2022-2025 was 58% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Great Wall Motors (China) as a percentage of every work published that year, 0.00033% in 2024.
Fractional works of Great Wall Motors (China) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 6.8% in 2009.
Other research institutions in Baoding
- Hebei University
- Hebei Agricultural University
- Baoding University
- Affiliated Hospital of Hebei University
- Baoding People's Hospital
- Hebei Finance University
- Hebei Mental Health Center
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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