Shanghai Electric (China)
In research, Shanghai Electric (China) stands highest in Engineering (#1,500 of 5,901 worldwide), Physical Sciences (#2,762 of 10,670 worldwide) and Electrical and Electronic Engineering (#801 of 2,176 worldwide), 2022-now. 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 48.5× its share of world research).
- World rank, 2022-now
- #4,819 of 22,385 · #5,742 all time
- Rank in China
- #724 of 2,481
- Research works
- 9.4k ▲ 322% vs 2018-21
- Citations
- 26k 2.8 per fractional work
- Top-10% rate
- 3.4% all institutions 10.0%
- vs its own fields
- 0.40× 1.00× is exactly expected
- Open access
- 25% world 40%
- International
- 8% world 18%
What is Shanghai Electric (China) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #1,500 of 5,901 | 2.9% | 3,993 | #1854 | |
| Physical SciencesDomain | #2,762 of 10,670 | 3.0% | 5,639 | #2717 | |
| Electrical and Electronic EngineeringSubfield | #801 of 2,176 | 2.8% | 2,262 | #1056 | |
| Computer ScienceField | #1,961 of 4,417 | 2.9% | 795 | #2625 | |
| Control and Systems EngineeringSubfield | #436 of 804 | 2.6% | 773 | #880 | |
| Mechanical EngineeringSubfield | #785 of 1,319 | 4.6% | 211 | #1290 | |
| Materials ScienceField | #1,500 of 2,276 | 3.5% | 173 | #2172 | |
| Materials ChemistrySubfield | #1,015 of 1,473 | 3.4% | 124 | #1639 | |
| Civil and Structural EngineeringSubfield | #667 of 908 | 5.6% | 77 | - | |
| Artificial IntelligenceSubfield | #1,398 of 1,862 | 3.5% | 246 | #1930 |
Each strip is that field's whole ranked pool, with the notch where Shanghai Electric (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#1,854 #1,500
- Physical Sciences#2,717 #2,762
- Electrical and Electronic Engineering#1,056 #801
- Computer Science#2,625 #1,961
- Control and Systems Engineering#880 #436
- Mechanical Engineering#1,290 #785
- Materials Science#2,172 #1,500
- Materials Chemistry#1,639 #1,015
- Artificial Intelligence#1,930 #1,398
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Shanghai Electric (China) work in?
In 2022-now, 95% of research at Shanghai Electric (China) is in Physical Sciences, 4% in Social Sciences. Its largest fields are Engineering (68%), Computer Science (13%), Energy (6%). It does 2.4× 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 26 fields, with their numbers
- Physical Sciences6,30095.2%
- Engineering4,47967.7%
- Computer Science88413.4%
- Energy4226.4%
- Materials Science1983.0%
- Environmental Science1562.4%
- Physics and Astronomy821.2%
- Earth and Planetary Sciences400.6%
- Chemistry150.2%
- Chemical Engineering140.2%
- Mathematics90.1%
- Social Sciences2403.6%
- Decision Sciences721.1%
- Business, Management and Accounting681.0%
- Social Sciences651.0%
- Economics, Econometrics and Finance260.4%
- Psychology70.1%
- Arts and Humanities20.0%
- Health Sciences520.8%
- Medicine380.6%
- Health Professions130.2%
- Nursing00.0%
- Dentistry00.0%
- Veterinary00.0%
- Life Sciences280.4%
What does Shanghai Electric (China) specialise in?
Where its research is concentrated relative to its size: Energy Engineering and Power Technology takes 48.5× the share of its output that it takes of world research.
- Energy Engineering and Power TechnologySubfield · 345.8 works48×
- Control and Systems EngineeringSubfield · 871.0 works12×
- Electrical and Electronic EngineeringSubfield · 2,524.2 works11×
- Safety, Risk, Reliability and QualitySubfield · 134.8 works8.5×
- EnergyField · 421.8 works6.9×
- Ecological ModelingSubfield · 29.5 works5.8×
- EngineeringField · 4,479.0 works4.5×
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, 6.9×. Every wedge is a field page.
All 26 fields, with their numbers
- Energy6.93×422 works
- Engineering4.51×4,479 works
- Computer Science1.72×884 works
- Decision Sciences1.13×72 works
- Materials Science0.86×198 works
- Chemical Engineering0.61×14 works
- Physics and Astronomy0.56×82 works
- Environmental Science0.48×156 works
- Earth and Planetary Sciences0.38×40 works
- Business, Management and Accounting0.32×68 works
- Economics, Econometrics and Finance0.18×26 works
- Chemistry0.14×15 works
- Mathematics0.12×9 works
- Social Sciences0.08×65 works
- Health Professions0.07×13 works
- Neuroscience0.06×6 works
- Psychology0.04×7 works
- Agricultural and Biological Sciences0.03×9 works
- Biochemistry, Genetics and Molecular Biology0.03×12 works
- Medicine0.03×38 works
- Veterinary0.02×0 works
- Immunology and Microbiology0.01×1 works
- Pharmacology, Toxicology and Pharmaceutics0.01×0 works
- Dentistry0.01×0 works
- Nursing0.01×0 works
- Arts and Humanities0.01×2 works
- Energy 6.9×
- Engineering 4.5×
- Computer Science 1.7×
- Decision Sciences 1.1×
- Materials Science 0.9×
- Chemical Engineering 0.6×
- Physics and Astronomy 0.6×
- Environmental Science 0.5×
- Earth and Planetary Sciences 0.4×
- Business, Management and Accounting 0.3×
- Economics, Econometrics and Finance 0.2×
- Chemistry 0.1×
- Mathematics 0.1×
- Social Sciences 0.1×
- Health Professions 0.1×
- Neuroscience 0.1×
- Psychology 0.0×
- Agricultural and Biological Sciences 0.0×
- Biochemistry, Genetics and Molecular Biology 0.0×
- Medicine 0.0×
- Veterinary 0.0×
- Immunology and Microbiology 0.0×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Dentistry 0.0×
- Nursing 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Shanghai Electric (China)?
Ranked on the quality score, Peng Xiao, Bingyan Xu and Tingqi Zhang lead among researchers whose main affiliation is Shanghai Electric (China).
- 1
Peng Xiao
China · #469,133 worldwide 2.4k citations · 104 works
- 2
Bingyan Xu
China · #670,088 worldwide 1.3k citations · 44 works
- 3
Tingqi Zhang
China · #743,161 worldwide 773 citations · 28 works
- 4
Yuxiao Zhou
China · #893,276 worldwide 1.7k citations · 108 works
- 5
Maolong Zhang
China · #1,393,357 worldwide 733 citations · 56 works
- 6
Guodong Chen
China · #1,542,751 worldwide 1.1k citations · 88 works
- 7
Fang Chen
China · #1,545,162 worldwide 294 citations · 25 works
- 8
Zehui Shi
China · #1,615,858 worldwide 29 citations · 17 works
- 9
Kaiyu Zhang
China · #1,642,664 worldwide 1.3k citations · 76 works
- 10
Haojing Wang
China · #1,696,449 worldwide 3.6k citations · 183 works
Which keywords describe research at Shanghai Electric (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Renewable Energy, Smart Grid, Power System, Deep Learning, Energy Efficiency, Energy Storage, Renewable Energy Integration and Big Data.
- HVDC Transmission
- Smart Home
- Optimization
- Decentralized Control
- Fault Detection
- CIM XML
- Voltage Control
- Smart Grid Applications
- Distribution Automation
- Photovoltaic Generation
- Intelligent Control
- Internet of Things
- Environmental Impact
- Battery Technology
- Wind Power
- Power Electronics
- Big Data
- Energy Efficiency
- Power System
- Smart Grid
- Renewable Energy
- Deep Learning
- Machine Learning
- Energy Storage
- Renewable Energy Integration
- Power Systems
- Neural Networks
- Cloud Computing
- Grid Integration
- Frequency Regulation
- Distributed Generation
- Reliability Analysis
- Electric Power
- Modeling
- Standards
- Common Information Model
- Energy Management
- Energy Storage Systems
- Game Theory
- Wind Power Integration
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 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 Energy1,537▲ 16×43 topics
- Smart Grid1,383▲ 58×10 topics
- Deep Learning774▲ 3.4×82 topics
- Power System669▲ 119×5 topics
- Machine Learning581▲ 2.6×79 topics
- Energy Efficiency492▲ 8.0×37 topics
- Energy Storage488▲ 11×13 topics
- Big Data486▲ 7.7×24 topics
- Renewable Energy Integration482▲ 22×6 topics
- Power Electronics470▲ 22×8 topics
- Power Systems424▲ 62×3 topics
- Wind Power422▲ 69×4 topics
- Neural Networks420▲ 4.1×35 topics
- Battery Technology420▲ 23×3 topics
- Cloud Computing412▲ 22×13 topics
- Environmental Impact406▲ 3.6×34 topics
- Grid Integration374▲ 54×4 topics
- Internet of Things349▲ 6.2×27 topics
- Frequency Regulation337▲ 91×2 topics
- Intelligent Control329▲ 129×2 topics
- Distributed Generation320▲ 60×3 topics
- Photovoltaic Generation311▲ 118×1 topic
- Reliability Analysis307▲ 46×3 topics
- Distribution Automation302▲ 202×1 topic
- Electric Power302▲ 202×1 topic
- Smart Grid Applications285▲ 33×2 topics
- Modeling268▲ 17×7 topics
- Voltage Control261▲ 56×2 topics
- Standards251▲ 61×3 topics
- CIM XML250▲ 165×1 topic
- Common Information Model250▲ 165×1 topic
- Fault Detection249▲ 27×3 topics
- Energy Management239▲ 22×3 topics
- Decentralized Control239▲ 31×2 topics
- Energy Storage Systems235▲ 25×2 topics
- Optimization233▲ 7.8×24 topics
- Game Theory231▲ 21×7 topics
- Smart Home229▲ 21×3 topics
- Wind Power Integration228▲ 51×2 topics
- HVDC Transmission224▲ 68×2 topics
Which research topics does Shanghai Electric (China) publish most on?
By volume in 2022-now: Power Systems and Renewable Energy, Smart Grid and Power Systems, Power Systems and Technologies and Smart Grid Energy Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Power Systems and Renewable Energy Energy Engineering and Power Technology 311 works
- 2 Smart Grid and Power Systems Electrical and Electronic Engineering 302 works
- 3 Power Systems and Technologies Electrical and Electronic Engineering 250 works
- 4 Smart Grid Energy Management Electrical and Electronic Engineering 222 works
- 5 Microgrid Control and Optimization Control and Systems Engineering 213 works
- 6 Energy Load and Power Forecasting Electrical and Electronic Engineering 171 works
- 7 Optimal Power Flow Distribution Electrical and Electronic Engineering 148 works
- 8 Integrated Energy Systems Optimization Electrical and Electronic Engineering 140 works
- 9 Power Systems Fault Detection Control and Systems Engineering 114 works
- 10 HVDC Systems and Fault Protection Electrical and Electronic Engineering 113 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 Shanghai Electric (China)'s research output changed?
Output in 2022-2025 was 322% 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 Shanghai Electric (China) as a percentage of every work published that year, 0.033% in 2024.
Fractional works of Shanghai Electric (China) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 11.2% in 2008.
Other research institutions in Shanghai
- Shanghai Jiao Tong University
- Fudan University
- Tongji University
- Shanghai University
- East China Normal University
- East China University of Science and Technology
- Donghua University
- University of Shanghai for Science and Technology
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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