- Research works
- 89 ▲ 3% vs 2013–17
- Citations
- 1.1k 12.6 per fractional work
- Top-10% rate
- 1.0% record average 16.5%
- Open access
- 12% world 28%
Not ranked overall: PowerELab (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does PowerELab (China) specialise in?
Where its research is concentrated relative to its size: Physical Sciences takes 2.3× the share of its output that it takes of world research.
- Physical SciencesDomain · 21.8 works2.3×
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: Engineering, 4.9×. Every wedge is a field page.
Which keywords describe research at PowerELab (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Renewable Energy, Smart Grid, Distributed Generation, Energy Storage, Energy Management, Machine Learning, Wind Power and Optimization.
- Smart Grid Applications
- Power Line Communications
- Impulsive Noise
- Electricity Markets
- Voltage Control
- Neural Networks
- Distribution Systems
- Smart Home
- Channel Modeling
- Wind Power
- Energy Management
- Deep Learning
- Smart Grid
- Renewable Energy
- Machine Learning
- Distributed Generation
- Energy Storage
- Optimization
- Renewable Energy Integration
- Sustainability
- Energy Efficiency
- Optimal Power Flow
- Demand Response
- Power System
- Power Electronics
- Environmental Impact
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 26 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 26 words, with their numbers
- Renewable Energy6▲ 17×12 topics
- Smart Grid4▲ 40×6 topics
- Machine Learning3▲ 3.3×9 topics
- Deep Learning2▲ 2.3×10 topics
- Distributed Generation2▲ 95×3 topics
- Energy Management2▲ 43×2 topics
- Energy Storage2▲ 11×5 topics
- Wind Power2▲ 76×3 topics
- Optimization2▲ 14×3 topics
- Channel Modeling2▲ 49×2 topics
- Renewable Energy Integration2▲ 18×3 topics
- Smart Home2▲ 35×2 topics
- Sustainability2▲ 2.5×4 topics
- Distribution Systems1▲ 156×1 topic
- Energy Efficiency1▲ 6.2×5 topics
- Neural Networks1▲ 3.8×8 topics
- Optimal Power Flow1▲ 156×1 topic
- Voltage Control1▲ 84×2 topics
- Demand Response1▲ 58×1 topic
- Electricity Markets1▲ 58×1 topic
- Power System1▲ 57×3 topics
- Impulsive Noise1▲ 292×1 topic
- Power Electronics1▲ 15×4 topics
- Power Line Communications1▲ 292×1 topic
- Environmental Impact1▲ 2.4×3 topics
- Smart Grid Applications1▲ 31×2 topics
Which research topics does PowerELab (China) publish most on?
By volume in 2022–2025: Optimal Power Flow Distribution, Smart Grid Energy Management, Power Line Communications and Noise and Power System Reliability and Maintenance.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Optimal Power Flow Distribution Electrical and Electronic Engineering 1 works
- 2 Smart Grid Energy Management Electrical and Electronic Engineering 1 works
- 3 Power Line Communications and Noise Electrical and Electronic Engineering 1 works
- 4 Power System Reliability and Maintenance Safety, Risk, Reliability and Quality 1 works
- 5 Microgrid Control and Optimization Control and Systems Engineering 1 works
- 6 Smart Grid Security and Resilience Control and Systems Engineering 1 works
- 7 Social Acceptance of Renewable Energy Sociology and Political Science 1 works
- 8 Reliability and Maintenance Optimization Safety, Risk, Reliability and Quality 1 works
- 9 Fault Detection and Control Systems Control and Systems Engineering 1 works
- 10 Energy Load and Power Forecasting Electrical and Electronic Engineering 0 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 PowerELab (China)'s research output changed?
Output in 2018–2022 was 3% 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 Hong Kong
- Hong Kong Polytechnic University
- Chinese University of Hong Kong
- City University of Hong Kong
- Hong Kong University of Science and Technology
- Hong Kong Baptist University
- Queen Mary Hospital
- Hong Kong Metropolitan University
- Queen Elizabeth Hospital
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.