- Research works
- 10 ▲ 18% vs 2013–17
- Citations
- 26 2.5 per fractional work
- Top-10% rate
- 0.0% record average 16.5%
- Open access
- 23% world 28%
Not ranked overall: PLA Navy Submarine Academy is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Earth and Planetary Sciences, 3.9×. Every wedge is a field page.
Which research topics does PLA Navy Submarine Academy publish most on?
By volume in 2022–2025: Robotic Path Planning Algorithms, Power Line Inspection Robots, Engineering Diagnostics and Reliability and Gear and Bearing Dynamics Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 0 works
- 2 Power Line Inspection Robots Mechanical Engineering 0 works
- 3 Engineering Diagnostics and Reliability Mechanics of Materials 0 works
- 4 Gear and Bearing Dynamics Analysis Mechanical Engineering 0 works
- 5 Machine Fault Diagnosis Techniques Control and Systems Engineering 0 works
- 6 Underwater Vehicles and Communication Systems Ocean Engineering 0 works
- 7 Industrial Technology and Control Systems Control and Systems Engineering 0 works
- 8 Discourse Analysis in Language Studies Literature and Literary Theory 0 works
- 9 Innovative Educational Techniques Education 0 works
- 10 Interpreting and Communication in Healthcare General Health Professions 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 PLA Navy Submarine Academy's research output changed?
Output in 2018–2022 was 18% 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 Qingdao
- Laoshan Laboratory
- SINOPEC Research Institute of Safety Engineering Co., Ltd.
- Qingdao City University
- State Key Laboratory of Digital Multimedia Technology
- Shandong Sinder Technology Co., Ltd.
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.