PLA Rocket Force University of Engineering
In research, PLA Rocket Force University of Engineering stands highest in Engineering (#941 of 6,636 worldwide), Physical Sciences (#2,578 of 12,888 worldwide) and Aerospace Engineering (#218 of 795 worldwide), 2022–2025. Relative to its size it is most specialised in Aerospace Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering — Aerospace Engineering is 12.1× its share of world research.
- World rank, 2022–2025
- #4,287 of 28,054 · #8,624 all time
- Rank in China
- #983 of 3,058
- Research works
- 4.5k ▼ 9% vs 2013–17
- Citations
- 11k 2.5 per fractional work
- Top-10% rate
- 20.8% record average 16.5%
- Open access
- 18% world 28%
What is PLA Rocket Force University of Engineering 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 | #941 of 6,636 | 23.1% | 477 | #2245 | |
| Physical SciencesDomain | #2,578 of 12,888 | 20.8% | 815 | #5530 | |
| Aerospace EngineeringSubfield | #218 of 795 | 33.8% | 125 | #1005 | |
| Computer ScienceField | #1,282 of 4,667 | 17.7% | 206 | #2517 | |
| Control and Systems EngineeringSubfield | #268 of 793 | 26.3% | 63 | #735 | |
| Electrical and Electronic EngineeringSubfield | #1,656 of 2,318 | 17.5% | 64 | #2956 | |
| Artificial IntelligenceSubfield | #1,438 of 1,884 | 20.2% | 68 | #2197 | |
| Computer Vision and Pattern RecognitionSubfield | #764 of 941 | 13.4% | 61 | #1325 |
Each strip is that field’s whole ranked pool, with the notch where PLA Rocket Force University of Engineering 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#2,245 #941
- Physical Sciences#5,530 #2,578
- Aerospace Engineering#1,005 #218
- Computer Science#2,517 #1,282
- Control and Systems Engineering#735 #268
- Electrical and Electronic Engineering#2,956 #1,656
- Artificial Intelligence#2,197 #1,438
- Computer Vision and Pattern Recognition#1,325 #764
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does PLA Rocket Force University of Engineering specialise in?
Where its research is concentrated relative to its size: Aerospace Engineering takes 12.1× the share of its output that it takes of world research.
- Aerospace EngineeringSubfield · 125.4 works12×
- Safety, Risk, Reliability and QualitySubfield · 21.0 works9.9×
- Control and Systems EngineeringSubfield · 63.1 works6.6×
- Mechanics of MaterialsSubfield · 37.5 works6.0×
- Computer Vision and Pattern RecognitionSubfield · 61.0 works5.5×
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: Engineering, 3.6×. Every wedge is a field page.
- Engineering 3.6×
- Computer Science 3.0×
- Materials Science 1.8×
- Decision Sciences 1.8×
- Earth and Planetary Sciences 1.1×
- Physics and Astronomy 1.0×
- Mathematics 0.8×
- Energy 0.7×
- Chemistry 0.6×
- Environmental Science 0.4×
- Neuroscience 0.4×
- Chemical Engineering 0.4×
- Business, Management and Accounting 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Medicine 0.1×
- Psychology 0.1×
- Economics, Econometrics and Finance 0.1×
- Health Professions 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Agricultural and Biological Sciences 0.1×
- Immunology and Microbiology 0.0×
Who are the top researchers at PLA Rocket Force University of Engineering?
Ranked on the composite score, Jianxiang Xi, Daizhi Liu and Yiming Bi lead among researchers whose main affiliation is PLA Rocket Force University of Engineering.
- 1 Jianxiang Xi China · #693,491 worldwide 60 citations · 18 works
- 2 Daizhi Liu China · #756,440 worldwide 19 citations · 22 works
- 3 Yiming Bi China · #925,608 worldwide 9 citations · 18 works
- 4 Minghai Wang China · #1,162,710 worldwide 25 citations · 23 works
- 5 Wenhao Wang China · #1,281,731 worldwide 48 citations · 39 works
- 6 Chuntong Liu China · #1,342,416 worldwide 22 citations · 17 works
- 7 Jian Yang China · #1,361,838 worldwide 18 citations · 21 works
- 8 Guangbin Cai China · #1,456,650 worldwide 38 citations · 22 works
- 9 Ruitao Lu China · #1,515,099 worldwide 9 citations · 17 works
- 10 Xiaogang Yang China · #1,516,016 worldwide 11 citations · 26 works
Which keywords describe research at PLA Rocket Force University of Engineering?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Sparse Representation, Wavelet Transform, Convolutional Neural Networks, Detection and Multi-Agent Systems.
- Combustion Instabilities
- Neural Network
- Fault Detection
- Control
- Robotics
- Infrared
- Condition Monitoring
- Optimal Control
- ReaxFF
- Visual Attention
- Ionic Liquids
- Signal Processing
- Sensor Fusion
- Vibration Analysis
- Fault Diagnosis
- Wireless Communications
- Detection
- Sparse Representation
- Remote Sensing
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Wavelet Transform
- Multi-Agent Systems
- Image Processing
- Thermal Decomposition
- Sensor Networks
- Optimization
- Metal Nanoparticles
- Molecular Dynamics Simulations
- Energetic Salts
- Maintenance Optimization
- Reliability Engineering
- Empirical Mode Decomposition
- Small Target
- Nonlinear Systems
- Event-Triggered Control
- Process Monitoring
- Ballistic 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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning138▲ 4.5×63 topics
- Machine Learning70▲ 2.4×49 topics
- Neural Networks69▲ 5.0×33 topics
- Remote Sensing34▲ 3.1×17 topics
- Convolutional Neural Networks34▲ 5.2×10 topics
- Sparse Representation32▲ 19×6 topics
- Wavelet Transform31▲ 15×5 topics
- Detection25▲ 9.6×5 topics
- Multi-Agent Systems25▲ 15×4 topics
- Wireless Communications23▲ 15×5 topics
- Image Processing21▲ 5.4×7 topics
- Fault Diagnosis20▲ 16×6 topics
- Thermal Decomposition20▲ 51×2 topics
- Vibration Analysis19▲ 7.8×5 topics
- Sensor Networks18▲ 8.2×4 topics
- Sensor Fusion18▲ 19×3 topics
- Optimization18▲ 4.4×15 topics
- Signal Processing17▲ 14×6 topics
- Metal Nanoparticles17▲ 11×3 topics
- Ionic Liquids17▲ 6.8×5 topics
- Molecular Dynamics Simulations16▲ 43×2 topics
- Visual Attention16▲ 34×2 topics
- Energetic Salts16▲ 76×1 topic
- ReaxFF16▲ 76×1 topic
- Maintenance Optimization16▲ 86×1 topic
- Optimal Control16▲ 24×4 topics
- Reliability Engineering16▲ 86×1 topic
- Condition Monitoring15▲ 33×1 topic
- Empirical Mode Decomposition15▲ 33×1 topic
- Infrared14▲ 50×1 topic
- Small Target14▲ 50×1 topic
- Robotics14▲ 6.7×5 topics
- Nonlinear Systems14▲ 7.6×7 topics
- Control14▲ 12×4 topics
- Event-Triggered Control14▲ 24×2 topics
- Fault Detection14▲ 11×1 topic
- Process Monitoring14▲ 16×1 topic
- Neural Network13▲ 7.9×6 topics
- Ballistic Impact13▲ 23×2 topics
- Combustion Instabilities13▲ 23×2 topics
Which research topics does PLA Rocket Force University of Engineering publish most on?
By volume in 2022–2025: Energetic Materials and Combustion, Reliability and Maintenance Optimization, Machine Fault Diagnosis Techniques and Infrared Target Detection Methodologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energetic Materials and Combustion Mechanics of Materials 16 works
- 2 Reliability and Maintenance Optimization Safety, Risk, Reliability and Quality 16 works
- 3 Machine Fault Diagnosis Techniques Control and Systems Engineering 15 works
- 4 Infrared Target Detection Methodologies Aerospace Engineering 14 works
- 5 Fault Detection and Control Systems Control and Systems Engineering 14 works
- 6 Distributed Control Multi-Agent Systems Computer Networks and Communications 12 works
- 7 Rocket and propulsion systems research Aerospace Engineering 12 works
- 8 Inertial Sensor and Navigation Aerospace Engineering 10 works
- 9 Guidance and Control Systems Aerospace Engineering 10 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 10 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 Rocket Force University of Engineering's research output changed?
Output in 2018–2022 was 9% 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 Xi'an
- Xi'an Jiaotong University
- Northwestern Polytechnical University
- Xidian University
- Shaanxi Normal University
- Xi'an University of Technology
- Chang'an University
- Air Force Medical University
- Northwest University
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.