State Grid Corporation of China (China)
In research, State Grid Corporation of China (China) stands highest in Engineering (#358 of 6,636 worldwide), Electrical and Electronic Engineering (#194 of 2,318 worldwide) and Physical Sciences (#1,287 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering — Energy Engineering and Power Technology is 44.2× its share of world research.
- World rank, 2022–2025
- #2,266 of 28,054 · #5,551 all time
- Rank in China
- #592 of 3,058
- Research works
- 15k ▲ 252% vs 2013–17
- Citations
- 58k 3.9 per fractional work
- Top-10% rate
- 4.5% record average 16.5%
- Open access
- 26% world 28%
What is State Grid Corporation of China (China) 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 |
|---|---|---|---|---|---|
| EngineeringField | #358 of 6,636 | 3.8% | 5,512 | #1119 | |
| Electrical and Electronic EngineeringSubfield | #194 of 2,318 | 3.2% | 3,202 | #601 | |
| Physical SciencesDomain | #1,287 of 12,888 | 4.3% | 8,215 | #3427 | |
| Control and Systems EngineeringSubfield | #110 of 793 | 3.4% | 1,036 | #571 | |
| Computer ScienceField | #1,057 of 4,667 | 5.3% | 1,490 | #2461 | |
| EnergyField | #174 of 694 | 4.0% | 502 | #470 | |
| Energy Engineering and Power TechnologySubfield | #9 of 31 | 3.0% | 416 | #20 | |
| Artificial IntelligenceSubfield | #716 of 1,884 | 5.6% | 484 | #1590 | |
| Materials ScienceField | #985 of 2,468 | 6.3% | 271 | #2479 | |
| Computer Networks and CommunicationsSubfield | #305 of 705 | 4.4% | 341 | #1110 |
Each strip is that field’s whole ranked pool, with the notch where State Grid Corporation of China (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).
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.
- Engineering#1,119 #358
- Electrical and Electronic Engineering#601 #194
- Physical Sciences#3,427 #1,287
- Control and Systems Engineering#571 #110
- Computer Science#2,461 #1,057
- Energy#470 #174
- Energy Engineering and Power Technology#20 #9
- Artificial Intelligence#1,590 #716
- Materials Science#2,479 #985
- Computer Networks and Communications#1,110 #305
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does State Grid Corporation of China (China) specialise in?
Where its research is concentrated relative to its size: Energy Engineering and Power Technology takes 44.2× the share of its output that it takes of world research.
- Energy Engineering and Power TechnologySubfield · 416.3 works44×
- Control and Systems EngineeringSubfield · 1,035.8 works11×
- Electrical and Electronic EngineeringSubfield · 3,201.7 works10×
- Safety, Risk, Reliability and QualitySubfield · 165.9 works7.9×
- Ecological ModelingSubfield · 49.2 works7.4×
- EnergyField · 501.6 works6.2×
- Business and International ManagementSubfield · 54.7 works6.0×
- Computer Networks and CommunicationsSubfield · 340.5 works4.4×
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: Energy, 6.2×. Every wedge is a field page.
- Energy 6.2×
- Engineering 4.2×
- Computer Science 2.2×
- Decision Sciences 1.3×
- Materials Science 0.9×
- Physics and Astronomy 0.6×
- Environmental Science 0.5×
- Chemical Engineering 0.5×
- Business, Management and Accounting 0.5×
- Earth and Planetary Sciences 0.4×
- Economics, Econometrics and Finance 0.2×
- Chemistry 0.1×
- Social Sciences 0.1×
- Mathematics 0.1×
- Health Professions 0.1×
- Neuroscience 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Medicine 0.0×
- Psychology 0.0×
- Agricultural and Biological Sciences 0.0×
- Biochemistry, Genetics and Molecular Biology 0.0×
- Immunology and Microbiology 0.0×
- Dentistry 0.0×
Who are the top researchers at State Grid Corporation of China (China)?
Ranked on the composite score, Guangfu Tang, Wei Ping and Junfeng Qiao lead among researchers whose main affiliation is State Grid Corporation of China (China).
- 1 Guangfu Tang China · #92,140 worldwide 164 citations · 30 works
- 2 Wei Ping China · #156,682 worldwide 221 citations · 42 works
- 3 Junfeng Qiao China · #163,416 worldwide 98 citations · 23 works
- 4 Huipeng Li China · #171,984 worldwide 95 citations · 22 works
- 5 悦生 梅田 China · #238,365 worldwide 2 citations · 41 works
- 6 Li Xu China · #265,202 worldwide 203 citations · 27 works
- 7 Li Yin China · #316,812 worldwide 112 citations · 55 works
- 8 Mingyu Zhou China · #379,979 worldwide 73 citations · 17 works
- 9 Guangyao Zhao China · #424,005 worldwide 167 citations · 24 works
- 10 Feng Ji China · #435,772 worldwide 99 citations · 18 works
Which keywords describe research at State Grid Corporation of China (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Renewable Energy, Smart Grid, Power System, Deep Learning, Big Data, Energy Efficiency, Energy Storage and Power Electronics.
- Smart Home
- Energy Storage Systems
- Decentralized Control
- Security
- CIM XML
- Integration
- Distributed Generation
- Modeling
- Photovoltaic Generation
- Distribution Automation
- Frequency Regulation
- Grid Integration
- Environmental Impact
- Internet of Things
- Renewable Energy Integration
- Cloud Computing
- Energy Storage
- Big Data
- Machine Learning
- Smart Grid
- Renewable Energy
- Deep Learning
- Power System
- Energy Efficiency
- Power Electronics
- Neural Networks
- Power Systems
- Wind Power
- Battery Technology
- Intelligent Control
- Reliability Analysis
- Electric Power
- HVDC Transmission
- Smart Grid Applications
- Fault Detection
- Standards
- Common Information Model
- Voltage Control
- Energy Management
- Game Theory
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
- Renewable Energy1,853▲ 15×45 topics
- Smart Grid1,733▲ 52×10 topics
- Deep Learning1,162▲ 3.9×83 topics
- Machine Learning892▲ 3.1×85 topics
- Power System855▲ 109×5 topics
- Big Data707▲ 8.9×24 topics
- Energy Efficiency670▲ 8.2×39 topics
- Energy Storage593▲ 10×13 topics
- Power Electronics593▲ 20×8 topics
- Cloud Computing583▲ 24×13 topics
- Neural Networks581▲ 4.3×38 topics
- Renewable Energy Integration567▲ 19×6 topics
- Power Systems544▲ 56×3 topics
- Internet of Things516▲ 6.8×27 topics
- Wind Power505▲ 62×4 topics
- Environmental Impact504▲ 3.4×36 topics
- Battery Technology498▲ 20×3 topics
- Grid Integration451▲ 48×4 topics
- Intelligent Control433▲ 121×2 topics
- Frequency Regulation404▲ 77×2 topics
- Reliability Analysis404▲ 44×3 topics
- Distribution Automation400▲ 181×1 topic
- Electric Power400▲ 181×1 topic
- Photovoltaic Generation372▲ 96×1 topic
- HVDC Transmission356▲ 79×2 topics
- Modeling340▲ 15×9 topics
- Smart Grid Applications338▲ 30×2 topics
- Distributed Generation334▲ 49×3 topics
- Fault Detection321▲ 26×3 topics
- Integration318▲ 24×2 topics
- Standards318▲ 58×2 topics
- CIM XML318▲ 143×1 topic
- Common Information Model318▲ 143×1 topic
- Security314▲ 5.5×21 topics
- Voltage Control314▲ 51×2 topics
- Decentralized Control295▲ 28×2 topics
- Energy Management284▲ 19×3 topics
- Energy Storage Systems284▲ 23×2 topics
- Game Theory271▲ 18×6 topics
- Smart Home270▲ 18×3 topics
Which research topics does State Grid Corporation of China (China) publish most on?
By volume in 2022–2025: Smart Grid and Power Systems, Power Systems and Renewable Energy, Power Systems and Technologies and Microgrid Control and Optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Grid and Power Systems Electrical and Electronic Engineering 400 works
- 2 Power Systems and Renewable Energy Energy Engineering and Power Technology 372 works
- 3 Power Systems and Technologies Electrical and Electronic Engineering 318 works
- 4 Microgrid Control and Optimization Control and Systems Engineering 263 works
- 5 Smart Grid Energy Management Electrical and Electronic Engineering 260 works
- 6 Energy Load and Power Forecasting Electrical and Electronic Engineering 228 works
- 7 High-Voltage Power Transmission Systems Electrical and Electronic Engineering 186 works
- 8 HVDC Systems and Fault Protection Electrical and Electronic Engineering 171 works
- 9 Integrated Energy Systems Optimization Electrical and Electronic Engineering 155 works
- 10 Optimal Power Flow Distribution Electrical and Electronic Engineering 143 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 State Grid Corporation of China (China)'s research output changed?
Output in 2018–2022 was 252% 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.