- World rank, all time
- #39,390 of 42,892
- Rank in China
- #3,417 of 3,536
- Research works
- 130 ▼ 36% vs 2013–17
- Citations
- 677 5.2 per fractional work
- Top-10% rate
- 6.0% record average 16.5%
- Open access
- 20% world 28%
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, 3.5×. Every wedge is a field page.
- Engineering 3.5×
- Computer Science 3.2×
- Chemical Engineering 2.0×
- Materials Science 1.6×
- Decision Sciences 1.3×
- Environmental Science 1.0×
- Agricultural and Biological Sciences 0.4×
- Business, Management and Accounting 0.4×
- Mathematics 0.4×
- Energy 0.4×
- Earth and Planetary Sciences 0.3×
- Physics and Astronomy 0.2×
- Medicine 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
Which keywords describe research at Shanghai Institute of Process Automation Instrumentation (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Cyber-Physical Systems, Neural Machine Translation, Robotics, Statistical Machine Translation, Energy Efficiency and Sustainability.
- Robotics
- Big Data
- Climate Change
- Neural Networks
- Sustainability
- Deep Learning
- Machine Learning
- Energy Efficiency
- Cyber-Physical Systems
- Neural Machine Translation
- Statistical Machine Translation
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 11 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 11 words, with their numbers
- Deep Learning3▲ 3.3×12 topics
- Sustainability2▲ 2.7×5 topics
- Machine Learning2▲ 1.97×7 topics
- Neural Networks2▲ 4.2×8 topics
- Energy Efficiency1▲ 5.2×7 topics
- Climate Change1▲ 1.70×4 topics
- Cyber-Physical Systems1▲ 17×4 topics
- Big Data1▲ 4.8×4 topics
- Neural Machine Translation1▲ 44×1 topic
- Robotics1▲ 17×3 topics
- Statistical Machine Translation1▲ 44×1 topic
Which research topics does Shanghai Institute of Process Automation Instrumentation (China) publish most on?
By volume in 2022–2025: Natural Language Processing Techniques, Microgrid Control and Optimization, Power Line Inspection Robots and Digital Transformation in Industry.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Natural Language Processing Techniques Artificial Intelligence 1 works
- 2 Microgrid Control and Optimization Control and Systems Engineering 1 works
- 3 Power Line Inspection Robots Mechanical Engineering 0 works
- 4 Digital Transformation in Industry Industrial and Manufacturing Engineering 0 works
- 5 Topic Modeling Artificial Intelligence 0 works
- 6 Smart Grid Energy Management Electrical and Electronic Engineering 0 works
- 7 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 0 works
- 8 Fault Detection and Control Systems Control and Systems Engineering 0 works
- 9 HVDC Systems and Fault Protection Electrical and Electronic Engineering 0 works
- 10 Robotics and Sensor-Based Localization Aerospace 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 Shanghai Institute of Process Automation Instrumentation (China)'s research output changed?
Output in 2018–2022 was 36% lower 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 Shanghai
- Shanghai Jiao Tong University
- Tongji University
- Fudan 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 are in the interactive view on the map.