- World rank, all time
- #32,145 of 34,923
- Rank in China
- #2,735 of 2,919
- Research works
- 143 ▲ 148% vs 2018-21
- Citations
- 817 5.7 per fractional work
- Top-10% rate
- 7.1% all institutions 10.0%
- vs its own fields
- 0.87× 1.00× is exactly expected
- Open access
- 28% world 40%
- International
- 8% world 18%
Which fields of science does China GreatWall Technology Group (China) work in?
In 2022-now, 66% of research at China GreatWall Technology Group (China) is in Physical Sciences, 20% in Social Sciences. Its largest fields are Engineering (36%), Computer Science (16%), Business, Management and Accounting (13%). It does 1.6× 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 Sciences2966.1%
- Engineering1636.0%
- Computer Science716.4%
- Environmental Science25.0%
- Physics and Astronomy13.2%
- Materials Science12.7%
- Energy11.3%
- Chemistry01.1%
- Earth and Planetary Sciences00.3%
- Mathematics00.3%
- Social Sciences919.5%
- Life Sciences37.7%
- Health Sciences36.7%
- Medicine36.2%
- Health Professions00.4%
- Nursing00.1%
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: Business, Management and Accounting, 4.1×. Every wedge is a field page.
All 22 fields, with their numbers
- Business, Management and Accounting4.06×6 works
- Engineering2.40×16 works
- Economics, Econometrics and Finance2.32×2 works
- Computer Science2.11×7 works
- Physics and Astronomy1.42×1 works
- Energy1.37×0 works
- Environmental Science1.02×2 works
- Agricultural and Biological Sciences0.80×2 works
- Materials Science0.76×1 works
- Decision Sciences0.73×0 works
- Chemistry0.68×0 works
- Biochemistry, Genetics and Molecular Biology0.63×2 works
- Pharmacology, Toxicology and Pharmaceutics0.43×0 works
- Medicine0.32×3 works
- Mathematics0.22×0 works
- Immunology and Microbiology0.19×0 works
- Earth and Planetary Sciences0.17×0 works
- Nursing0.17×0 works
- Health Professions0.15×0 works
- Neuroscience0.12×0 works
- Social Sciences0.05×0 works
- Psychology0.04×0 works
- Business, Management and Accounting 4.1×
- Engineering 2.4×
- Economics, Econometrics and Finance 2.3×
- Computer Science 2.1×
- Physics and Astronomy 1.4×
- Energy 1.4×
- Environmental Science 1.0×
- Agricultural and Biological Sciences 0.8×
- Materials Science 0.8×
- Decision Sciences 0.7×
- Chemistry 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Medicine 0.3×
- Mathematics 0.2×
- Immunology and Microbiology 0.2×
- Earth and Planetary Sciences 0.2×
- Nursing 0.2×
- Health Professions 0.1×
- Neuroscience 0.1×
- Social Sciences 0.1×
- Psychology 0.0×
Who are the top researchers at China GreatWall Technology Group (China)?
Ranked on the quality score, Emma Dobbin and Chunlin Yu lead among researchers whose main affiliation is China GreatWall Technology Group (China).
- 1
Emma Dobbin
China · #2,777,821 worldwide 0 citations · 59 works
- 2
Chunlin Yu
China · #2,876,060 worldwide 197 citations · 26 works
Which keywords describe research at China GreatWall Technology Group (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Financial Distress, Risk Assessment, Neural Networks, Corporate Governance, Predictive Modeling and Risk Management.
- Regulation
- Nanoparticles
- Investor Protection
- Fuzzy Method
- Agile Manufacturing
- Renewable Energy
- Medical Imaging
- Supply Chain
- Convolutional Neural Networks
- Credit Scoring
- Security
- Fault Diagnosis
- Power System
- Data Mining
- Financial Distress
- Risk Assessment
- Machine Learning
- Deep Learning
- Neural Networks
- Corporate Governance
- Predictive Modeling
- Risk Management
- Support Vector Machines
- Ensemble Learning
- Bankruptcy Prediction
- Climate Change
- Remote Sensing
- Entanglement
- Neural Network
- Safety Assessment
- Collaborative Networks
- Image Classification
- Liquidity
- Ownership Structure
- Risk Evaluation
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 35 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 35 words, with their numbers
- Deep Learning5▲ 3.2×28 topics
- Machine Learning5▲ 3.3×22 topics
- Neural Networks2▲ 3.8×11 topics
- Risk Assessment2▲ 7.2×5 topics
- Corporate Governance2▲ 6.2×3 topics
- Financial Distress2▲ 101×2 topics
- Predictive Modeling2▲ 15×2 topics
- Data Mining2▲ 5.3×5 topics
- Risk Management2▲ 8.1×3 topics
- Power System2▲ 42×4 topics
- Support Vector Machines2▲ 12×3 topics
- Fault Diagnosis2▲ 24×4 topics
- Ensemble Learning1▲ 47×2 topics
- Security1▲ 4.8×5 topics
- Bankruptcy Prediction1▲ 124×1 topic
- Credit Scoring1▲ 124×1 topic
- Climate Change1◆ 0.99×8 topics
- Convolutional Neural Networks1▲ 3.8×5 topics
- Remote Sensing1▲ 2.3×9 topics
- Supply Chain1▲ 14×2 topics
- Entanglement1▲ 17×2 topics
- Medical Imaging1▲ 4.9×4 topics
- Neural Network1▲ 14×2 topics
- Renewable Energy1▲ 1.72×10 topics
- Safety Assessment1▲ 63×2 topics
- Agile Manufacturing1▲ 120×1 topic
- Collaborative Networks1▲ 120×1 topic
- Fuzzy Method1▲ 467×1 topic
- Image Classification1▲ 12×2 topics
- Investor Protection1▲ 30×1 topic
- Liquidity1▲ 31×2 topics
- Nanoparticles1▲ 1.90×5 topics
- Ownership Structure1▲ 30×1 topic
- Regulation1▲ 4.3×2 topics
- Risk Evaluation1▲ 421×1 topic
Which research topics does China GreatWall Technology Group (China) publish most on?
By volume in 2022-now: Financial Distress and Bankruptcy Prediction, Corporate Finance and Governance, Evaluation and Optimization Models and Collaboration in agile enterprises.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Financial Distress and Bankruptcy Prediction Accounting 1 works
- 2 Corporate Finance and Governance Accounting 1 works
- 3 Evaluation and Optimization Models Safety, Risk, Reliability and Quality 1 works
- 4 Collaboration in agile enterprises Management of Technology and Innovation 1 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 6 Fermentation and Sensory Analysis Food Science 1 works
- 7 Hydraulic Fracturing and Reservoir Analysis Mechanical Engineering 1 works
- 8 Corporate Insolvency and Governance Accounting 1 works
- 9 Quantum Information and Cryptography Artificial Intelligence 1 works
- 10 Supply Chain Resilience and Risk Management Strategy and Management 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 China GreatWall Technology Group (China)'s research output changed?
Output in 2022-2025 was 148% 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 China GreatWall Technology Group (China) as a percentage of every work published that year, 0.00014% in 2024.
Fractional works of China GreatWall Technology Group (China) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Shenzhen
- Shenzhen University
- Southern University of Science and Technology
- Chinese University of Hong Kong, Shenzhen
- Huawei Technologies (China)
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of Shenzhen
- Shenzhen Technology University
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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