Shanghai University of Electric Power
In research, Shanghai University of Electric Power stands highest in Engineering (#287 of 6,636 worldwide), Physical Sciences (#715 of 12,888 worldwide) and Electrical and Electronic Engineering (#178 of 2,318 worldwide), 2022–2025. Relative to its size it is most specialised in Energy Engineering and Power Technology, Energy and Control and Systems Engineering — Energy Engineering and Power Technology is 24.8× its share of world research.
- World rank, 2022–2025
- #1,268 of 28,054 · #2,899 all time
- Rank in China
- #383 of 3,058
- Research works
- 9k ▲ 46% vs 2013–17
- Citations
- 95k 10.5 per fractional work
- Top-10% rate
- 16.7% record average 16.5%
- Open access
- 27% world 28%
What is Shanghai University of Electric Power 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 | #287 of 6,636 | 16.0% | 1,857 | #993 | |
| Physical SciencesDomain | #715 of 12,888 | 16.1% | 3,211 | #1934 | |
| Electrical and Electronic EngineeringSubfield | #178 of 2,318 | 14.7% | 863 | #665 | |
| EnergyField | #136 of 694 | 15.8% | 261 | #418 | |
| Materials ScienceField | #495 of 2,468 | 19.9% | 290 | #1499 | |
| Mechanical EngineeringSubfield | #303 of 1,351 | 16.6% | 209 | #853 | |
| Materials ChemistrySubfield | #409 of 1,556 | 20.8% | 204 | #1241 | |
| Control and Systems EngineeringSubfield | #225 of 793 | 10.1% | 269 | #665 | |
| Renewable Energy, Sustainability and the EnvironmentSubfield | #168 of 563 | 19.5% | 165 | #440 | |
| Computer ScienceField | #1,571 of 4,667 | 12.4% | 480 | #2322 |
Each strip is that field’s whole ranked pool, with the notch where Shanghai University of Electric Power 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#993 #287
- Physical Sciences#1,934 #715
- Electrical and Electronic Engineering#665 #178
- Energy#418 #136
- Materials Science#1,499 #495
- Mechanical Engineering#853 #303
- Materials Chemistry#1,241 #409
- Control and Systems Engineering#665 #225
- Renewable Energy, Sustainability and the Environment#440 #168
- Computer Science#2,322 #1,571
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shanghai University of Electric Power specialise in?
Where its research is concentrated relative to its size: Energy Engineering and Power Technology takes 24.8× the share of its output that it takes of world research.
- Energy Engineering and Power TechnologySubfield · 91.6 works25×
- EnergyField · 261.1 works8.3×
- Control and Systems EngineeringSubfield · 269.1 works7.3×
- Electrical and Electronic EngineeringSubfield · 863.5 works7.1×
- Renewable Energy, Sustainability and the EnvironmentSubfield · 165.1 works6.3×
- CatalysisSubfield · 22.6 works4.5×
- Automotive EngineeringSubfield · 74.5 works4.1×
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, 8.3×. Every wedge is a field page.
- Energy 8.3×
- Engineering 3.6×
- Chemical Engineering 3.5×
- Materials Science 2.4×
- Computer Science 1.8×
- Decision Sciences 1.0×
- Environmental Science 0.9×
- Physics and Astronomy 0.7×
- Chemistry 0.7×
- Economics, Econometrics and Finance 0.5×
- Earth and Planetary Sciences 0.5×
- Neuroscience 0.5×
- Mathematics 0.3×
- Business, Management and Accounting 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Psychology 0.1×
- Social Sciences 0.1×
- Agricultural and Biological Sciences 0.0×
- Health Professions 0.0×
- Medicine 0.0×
- Arts and Humanities 0.0×
- Immunology and Microbiology 0.0×
- Nursing 0.0×
Who are the top researchers at Shanghai University of Electric Power?
Ranked on the composite score, Jian Zhao, Hongbo Ren and Junxi Zhang lead among researchers whose main affiliation is Shanghai University of Electric Power.
- 1 Jian Zhao China · #79,381 worldwide 338 citations · 40 works
- 2 Hongbo Ren China · #125,495 worldwide 303 citations · 23 works
- 3 Junxi Zhang China · #168,655 worldwide 254 citations · 32 works
- 4 Dongdong Li China · #185,700 worldwide 198 citations · 26 works
- 5 Qiong Wu China · #190,314 worldwide 154 citations · 24 works
- 6 Qilin Chen China · #206,551 worldwide 233 citations · 35 works
- 7 Yang Fu China · #270,471 worldwide 202 citations · 46 works
- 8 Yang Mi China · #294,460 worldwide 125 citations · 36 works
- 9 Xiaoyan Bian China · #308,822 worldwide 139 citations · 29 works
- 10 Durga Prasad Bavirisetti China · #335,950 worldwide 126 citations · 19 works
Which keywords describe research at Shanghai University of Electric Power?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Renewable Energy, Smart Grid, Deep Learning, Energy Storage, Renewable Energy Integration, Power Electronics, Neural Networks and Battery Technology.
- Probabilistic Forecasting
- Photovoltaic Generation
- Demand Response
- Wind Power Integration
- Game Theory
- Distributed Power Generation
- Thermal Management
- Energy Storage Systems
- Electric Vehicles
- Water Splitting
- Smart Grid Applications
- Wind Power
- Lithium-ion Batteries
- Cathode Materials
- Battery Technology
- Energy Efficiency
- Power Electronics
- Machine Learning
- Energy Storage
- Deep Learning
- Renewable Energy
- Smart Grid
- Neural Networks
- Renewable Energy Integration
- Environmental Impact
- Nanomaterials
- Solar Energy
- Power Systems
- Grid Integration
- Power System
- Decentralized Control
- Heat Transfer
- Frequency Regulation
- Energy Management
- Rechargeable Batteries
- Microgrid Control
- Smart Home
- Energy Transition
- Electricity Markets
- Time Series Analysis
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 Energy498▲ 10×37 topics
- Deep Learning388▲ 3.3×79 topics
- Smart Grid261▲ 20×9 topics
- Energy Storage240▲ 11×12 topics
- Neural Networks216▲ 4.1×35 topics
- Machine Learning212▲ 1.89×67 topics
- Renewable Energy Integration176▲ 15×5 topics
- Power Electronics163▲ 14×8 topics
- Environmental Impact157▲ 2.7×39 topics
- Energy Efficiency156▲ 4.8×32 topics
- Nanomaterials151▲ 4.2×17 topics
- Battery Technology146▲ 15×3 topics
- Solar Energy112▲ 10×5 topics
- Cathode Materials106▲ 7.8×3 topics
- Power Systems100▲ 26×2 topics
- Lithium-ion Batteries100▲ 6.9×4 topics
- Grid Integration97▲ 26×3 topics
- Wind Power94▲ 29×4 topics
- Power System92▲ 30×5 topics
- Smart Grid Applications90▲ 20×2 topics
- Decentralized Control89▲ 22×2 topics
- Water Splitting88▲ 7.0×4 topics
- Heat Transfer87▲ 5.1×16 topics
- Electric Vehicles85▲ 8.4×4 topics
- Frequency Regulation82▲ 40×2 topics
- Energy Storage Systems82▲ 17×2 topics
- Energy Management80▲ 14×2 topics
- Thermal Management76▲ 6.7×7 topics
- Rechargeable Batteries76▲ 8.2×2 topics
- Distributed Power Generation75▲ 21×1 topic
- Microgrid Control75▲ 21×1 topic
- Game Theory73▲ 13×3 topics
- Smart Home73▲ 13×3 topics
- Wind Power Integration72▲ 34×2 topics
- Energy Transition72▲ 14×3 topics
- Demand Response71▲ 22×1 topic
- Electricity Markets71▲ 22×1 topic
- Photovoltaic Generation68▲ 45×1 topic
- Time Series Analysis66▲ 11×4 topics
- Probabilistic Forecasting66▲ 9.8×3 topics
Which research topics does Shanghai University of Electric Power publish most on?
By volume in 2022–2025: Microgrid Control and Optimization, Smart Grid Energy Management, Power Systems and Renewable Energy and Integrated Energy Systems Optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Microgrid Control and Optimization Control and Systems Engineering 75 works
- 2 Smart Grid Energy Management Electrical and Electronic Engineering 71 works
- 3 Power Systems and Renewable Energy Energy Engineering and Power Technology 68 works
- 4 Integrated Energy Systems Optimization Electrical and Electronic Engineering 61 works
- 5 Energy Load and Power Forecasting Electrical and Electronic Engineering 58 works
- 6 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 51 works
- 7 Advancements in Battery Materials Electrical and Electronic Engineering 48 works
- 8 Advanced Battery Technologies Research Automotive Engineering 47 works
- 9 Smart Grid and Power Systems Electrical and Electronic Engineering 37 works
- 10 Electric Power System Optimization Electrical and Electronic Engineering 36 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 Shanghai University of Electric Power's research output changed?
Output in 2018–2022 was 46% 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 Yangpu
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.