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University · Xi'an · China

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Engineering#2,245 #941
  2. Physical Sciences#5,530 #2,578
  3. Aerospace Engineering#1,005 #218
  4. Computer Science#2,517 #1,282
  5. Control and Systems Engineering#735 #268
  6. Electrical and Electronic Engineering#2,956 #1,656
  7. Artificial Intelligence#2,197 #1,438
  8. Computer Vision and Pattern Recognition#1,325 #764
all time2022–2025, better2022–2025, worse

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.

  1. Aerospace EngineeringSubfield · 125.4 works12×
  2. Safety, Risk, Reliability and QualitySubfield · 21.0 works9.9×
  3. Control and Systems EngineeringSubfield · 63.1 works6.6×
  4. Mechanics of MaterialsSubfield · 37.5 works6.0×
  5. Computer Vision and Pattern RecognitionSubfield · 61.0 works5.5×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.05× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.06× its world share, 3 worksBiochemistry, Geneti…Immunology and Microbiology: 0.01× its world share, 0 worksImmunology and Micro…Neuroscience: 0.39× its world share, 6 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.14× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.38× its world share, 1 worksChemical EngineeringChemistry: 0.64× its world share, 9 worksChemistryComputer Science: 3.00× its world share, 206 worksComputer ScienceEarth and Planetary Sciences: 1.12× its world share, 16 worksEarth and Planetary …Energy: 0.72× its world share, 6 worksEnergyEngineering: 3.59× its world share, 477 worksEngineeringEnvironmental Science: 0.40× its world share, 18 worksEnvironmental ScienceMaterials Science: 1.77× its world share, 55 worksMaterials ScienceMathematics: 0.78× its world share, 8 worksMathematicsPhysics and Astronomy: 1.00× its world share, 20 worksPhysics and AstronomyHealth Professions: 0.07× its world share, 2 worksHealth ProfessionsMedicine: 0.09× its world share, 16 worksMedicineArts and Humanities: 0.10× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 6 worksBusiness, Management…Decision Sciences: 1.77× its world share, 15 worksDecision SciencesEconomics, Econometrics and Finance: 0.08× its world share, 1 worksEconomics, Econometr…Psychology: 0.09× its world share, 2 worksPsychologySocial Sciences: 0.12× its world share, 14 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Engineering, 3.6×. Every wedge is a field page.

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. 1 Jianxiang Xi China · #693,491 worldwide 60 citations · 18 works
  2. 2 Daizhi Liu China · #756,440 worldwide 19 citations · 22 works
  3. 3 Yiming Bi China · #925,608 worldwide 9 citations · 18 works
  4. 4 Minghai Wang China · #1,162,710 worldwide 25 citations · 23 works
  5. 5 Wenhao Wang China · #1,281,731 worldwide 48 citations · 39 works
  6. 6 Chuntong Liu China · #1,342,416 worldwide 22 citations · 17 works
  7. 7 Jian Yang China · #1,361,838 worldwide 18 citations · 21 works
  8. 8 Guangbin Cai China · #1,456,650 worldwide 38 citations · 22 works
  9. 9 Ruitao Lu China · #1,515,099 worldwide 9 citations · 17 works
  10. 10 Xiaogang Yang China · #1,516,016 worldwide 11 citations · 26 works
All ranked researchers at PLA Rocket Force University of Engineering

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning138▲ 4.5×63 topics
  2. Machine Learning70▲ 2.4×49 topics
  3. Neural Networks69▲ 5.0×33 topics
  4. Remote Sensing34▲ 3.1×17 topics
  5. Convolutional Neural Networks34▲ 5.2×10 topics
  6. Sparse Representation32▲ 19×6 topics
  7. Wavelet Transform31▲ 15×5 topics
  8. Detection25▲ 9.6×5 topics
  9. Multi-Agent Systems25▲ 15×4 topics
  10. Wireless Communications23▲ 15×5 topics
  11. Image Processing21▲ 5.4×7 topics
  12. Fault Diagnosis20▲ 16×6 topics
  13. Thermal Decomposition20▲ 51×2 topics
  14. Vibration Analysis19▲ 7.8×5 topics
  15. Sensor Networks18▲ 8.2×4 topics
  16. Sensor Fusion18▲ 19×3 topics
  17. Optimization18▲ 4.4×15 topics
  18. Signal Processing17▲ 14×6 topics
  19. Metal Nanoparticles17▲ 11×3 topics
  20. Ionic Liquids17▲ 6.8×5 topics
  21. Molecular Dynamics Simulations16▲ 43×2 topics
  22. Visual Attention16▲ 34×2 topics
  23. Energetic Salts16▲ 76×1 topic
  24. ReaxFF16▲ 76×1 topic
  25. Maintenance Optimization16▲ 86×1 topic
  26. Optimal Control16▲ 24×4 topics
  27. Reliability Engineering16▲ 86×1 topic
  28. Condition Monitoring15▲ 33×1 topic
  29. Empirical Mode Decomposition15▲ 33×1 topic
  30. Infrared14▲ 50×1 topic
  31. Small Target14▲ 50×1 topic
  32. Robotics14▲ 6.7×5 topics
  33. Nonlinear Systems14▲ 7.6×7 topics
  34. Control14▲ 12×4 topics
  35. Event-Triggered Control14▲ 24×2 topics
  36. Fault Detection14▲ 11×1 topic
  37. Process Monitoring14▲ 16×1 topic
  38. Neural Network13▲ 7.9×6 topics
  39. Ballistic Impact13▲ 23×2 topics
  40. 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.

  1. 1 Energetic Materials and Combustion Mechanics of Materials 16 works
  2. 2 Reliability and Maintenance Optimization Safety, Risk, Reliability and Quality 16 works
  3. 3 Machine Fault Diagnosis Techniques Control and Systems Engineering 15 works
  4. 4 Infrared Target Detection Methodologies Aerospace Engineering 14 works
  5. 5 Fault Detection and Control Systems Control and Systems Engineering 14 works
  6. 6 Distributed Control Multi-Agent Systems Computer Networks and Communications 12 works
  7. 7 Rocket and propulsion systems research Aerospace Engineering 12 works
  8. 8 Inertial Sensor and Navigation Aerospace Engineering 10 works
  9. 9 Guidance and Control Systems Aerospace Engineering 10 works
  10. 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.

openly available18.0%not open82.0%

World: 28% of research is openly available.

with international co-authors1.2%domestic only98.8%

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.

200020102020
grewheldshrank

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

All research institutions in Xi'an

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.