Great Wall Motors (China)
In research, Great Wall Motors (China) stands highest in Physical Sciences (#18,422 of 21,541 worldwide) and Engineering (#9,867 of 11,412 worldwide), over all time.
- World rank, all time
- #31,904 of 42,892
- Rank in China
- #3,009 of 3,536
- Research works
- 524 ▼ 67% vs 2013–17
- Citations
- 1.7k 3.3 per fractional work
- Top-10% rate
- 12.0% record average 16.5%
- Open access
- 13% world 28%
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 | #18,422 of 21,541 | 3.6% | 435 | |
| EngineeringField | #9,867 of 11,412 | 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 world mark, because the world rate differs by field (from about 6% to 21% in this record).
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, 4.2×. Every wedge is a field page.
- Chemical Engineering 4.2×
- Engineering 3.3×
- Energy 2.4×
- Earth and Planetary Sciences 1.8×
- Computer Science 1.5×
- Agricultural and Biological Sciences 1.4×
- Business, Management and Accounting 1.3×
- Decision Sciences 1.0×
- Chemistry 0.9×
- Physics and Astronomy 0.9×
- Materials Science 0.6×
- Nursing 0.6×
- Economics, Econometrics and Finance 0.5×
- Environmental Science 0.5×
- Health Professions 0.3×
- Medicine 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Immunology and Microbiology 0.2×
- Neuroscience 0.1×
- Social Sciences 0.1×
- Psychology 0.1×
- Arts and Humanities 0.1×
Which keywords describe research at Great Wall Motors (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Polyphenols, Sustainability, Fermentation, Deep Learning, Microbial Modulation, Wine Yeasts, Digital Twin and Smart Manufacturing.
- Power Electronics
- Thermal Management
- Remote Sensing
- Fracture Propagation
- Chemical Kinetics
- Grapevine
- Beamforming
- Smart Manufacturing
- Climate Change
- Big Data
- Convolutional Neural Networks
- Wine Yeasts
- Microbial Modulation
- Machine Learning
- Sustainability
- Deep Learning
- Polyphenols
- Fermentation
- Supply Chain Management
- Nanoparticles
- Mechanical Properties
- Internet of Things
- Digital Twin
- Vibration Analysis
- Genetics
- Hydraulic Fracturing
- Electric Vehicles
- Optimization
- Shale Gas Reservoirs
- Global Value Chains
- Production Networks
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 31 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 31 words, with their numbers
- Deep Learning4▲ 1.93×24 topics
- Sustainability3▲ 2.5×7 topics
- Polyphenols2▲ 23×2 topics
- Machine Learning2◆ 1.12×13 topics
- Fermentation2▲ 24×2 topics
- Microbial Modulation2▲ 103×1 topic
- Supply Chain Management2▲ 3.4×3 topics
- Wine Yeasts2▲ 103×1 topic
- Nanoparticles2▲ 2.4×5 topics
- Convolutional Neural Networks2▲ 3.8×9 topics
- Mechanical Properties2▲ 2.9×9 topics
- Big Data1▲ 2.9×2 topics
- Internet of Things1▲ 3.0×2 topics
- Climate Change1◆ 0.88×2 topics
- Digital Twin1▲ 19×1 topic
- Smart Manufacturing1▲ 28×1 topic
- Vibration Analysis1▲ 9.0×4 topics
- Beamforming1▲ 20×3 topics
- Genetics1▲ 3.1×1 topic
- Grapevine1▲ 54×1 topic
- Hydraulic Fracturing1▲ 20×2 topics
- Chemical Kinetics1▲ 23×2 topics
- Electric Vehicles1▲ 6.9×4 topics
- Fracture Propagation1▲ 33×1 topic
- Optimization1▲ 4.6×5 topics
- Remote Sensing1▲ 1.70×6 topics
- Shale Gas Reservoirs1▲ 33×1 topic
- Thermal Management1▲ 6.3×3 topics
- Global Value Chains1▲ 98×1 topic
- Power Electronics1▲ 5.6×5 topics
- Production Networks1▲ 98×1 topic
Which research topics does Great Wall Motors (China) publish most on?
By volume in 2022–2025: Fermentation and Sensory Analysis, Digital Transformation in Industry, Horticultural and Viticultural Research and Hydraulic Fracturing and Reservoir Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fermentation and Sensory Analysis Food Science 2 works
- 2 Digital Transformation in Industry Industrial and Manufacturing Engineering 1 works
- 3 Horticultural and Viticultural Research Plant Science 1 works
- 4 Hydraulic Fracturing and Reservoir Analysis Mechanical Engineering 1 works
- 5 Global trade, sustainability, and social impact Strategy and Management 1 works
- 6 Direction-of-Arrival Estimation Techniques Signal Processing 1 works
- 7 Drilling and Well Engineering Ocean Engineering 1 works
- 8 Hydrocarbon exploration and reservoir analysis Mechanics of Materials 1 works
- 9 Advanced Combustion Engine Technologies Fluid Flow and Transfer Processes 1 works
- 10 Combustion and flame dynamics Computational Mechanics 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 Great Wall Motors (China)'s research output changed?
Output in 2018–2022 was 67% 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 Baoding
- Hebei University
- Hebei Agricultural University
- Baoding University
- Affiliated Hospital of Hebei University
- Baoding People's Hospital
- Hebei Finance University
- Hebei Mental Health Center
- Hebei Research Institute of Microbiology
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.