National University of Defense Technology
In research, National University of Defense Technology stands highest in Aerospace Engineering (#2 of 795 worldwide), Engineering (#33 of 6,636 worldwide) and Physical Sciences (#68 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Aerospace Engineering, Acoustics and Ultrasonics and Hardware and Architecture — Aerospace Engineering is 12.0× its share of world research.
- World rank, 2022–2025
- #134 of 28,054 · #327 all time
- Rank in China
- #54 of 3,058
- Research works
- 65k ▲ 21% vs 2013–17
- Citations
- 574k 8.9 per fractional work
- Top-10% rate
- 20.3% record average 16.5%
- Open access
- 23% world 28%
What is National University of Defense Technology 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 |
|---|---|---|---|---|---|
| Aerospace EngineeringSubfield | #2 of 795 | 37.6% | 2,253 | #8 | |
| EngineeringField | #33 of 6,636 | 23.6% | 7,152 | #45 | |
| Physical SciencesDomain | #68 of 12,888 | 20.5% | 14,899 | #219 | |
| Computer ScienceField | #26 of 4,667 | 17.7% | 5,031 | #101 | |
| Computer Vision and Pattern RecognitionSubfield | #14 of 941 | 19.6% | 1,194 | #35 | |
| Computer Networks and CommunicationsSubfield | #11 of 705 | 16.1% | 844 | #54 | |
| Artificial IntelligenceSubfield | #30 of 1,884 | 17.7% | 1,772 | #85 | |
| Computational MechanicsSubfield | #8 of 376 | 28.8% | 567 | #37 | |
| Electrical and Electronic EngineeringSubfield | #62 of 2,318 | 12.6% | 1,696 | #151 | |
| Physics and AstronomyField | #56 of 1,646 | 16.4% | 964 | #287 |
Each strip is that field’s whole ranked pool, with the notch where National University of Defense Technology 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.
- Aerospace Engineering#8 #2
- Engineering#45 #33
- Physical Sciences#219 #68
- Computer Science#101 #26
- Computer Vision and Pattern Recognition#35 #14
- Computer Networks and Communications#54 #11
- Artificial Intelligence#85 #30
- Computational Mechanics#37 #8
- Electrical and Electronic Engineering#151 #62
- Physics and Astronomy#287 #56
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does National University of Defense Technology specialise in?
Where its research is concentrated relative to its size: Aerospace Engineering takes 12.0× the share of its output that it takes of world research.
- Aerospace EngineeringSubfield · 2,252.8 works12×
- Acoustics and UltrasonicsSubfield · 21.5 works12×
- Hardware and ArchitectureSubfield · 191.6 works11×
- SoftwareSubfield · 92.5 works9.0×
- InstrumentationSubfield · 51.4 works6.4×
- Computational MechanicsSubfield · 566.6 works6.1×
- Computer Vision and Pattern RecognitionSubfield · 1,193.8 works5.9×
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: Computer Science, 4.0×. Every wedge is a field page.
- Computer Science 4.0×
- Engineering 3.0×
- Physics and Astronomy 2.7×
- Earth and Planetary Sciences 2.3×
- Decision Sciences 1.3×
- Materials Science 1.0×
- Mathematics 0.8×
- Chemical Engineering 0.5×
- Neuroscience 0.4×
- Environmental Science 0.4×
- Chemistry 0.3×
- Energy 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Business, Management and Accounting 0.2×
- Psychology 0.1×
- Economics, Econometrics and Finance 0.1×
- Social Sciences 0.1×
- Health Professions 0.1×
- Medicine 0.1×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.0×
- Immunology and Microbiology 0.0×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Nursing 0.0×
- Veterinary 0.0×
- Dentistry 0.0×
Who are the top researchers at National University of Defense Technology?
Ranked on the composite score, Yulan Guo, Wei Huang and Xiaofeng Wang lead among researchers whose main affiliation is National University of Defense Technology.
- 1 Yulan Guo China · #8,275 worldwide 1.1k citations · 83 works
- 2 Wei Huang China · #18,364 worldwide 810 citations · 82 works
- 3 Xiaofeng Wang China · #25,832 worldwide 466 citations · 65 works
- 4 Xisen Wen China · #35,377 worldwide 545 citations · 34 works
- 5 Jihong Wen China · #35,941 worldwide 634 citations · 45 works
- 6 Zhenguo Wang China · #44,721 worldwide 399 citations · 49 works
- 7 Li Yan China · #47,995 worldwide 502 citations · 32 works
- 8 Xinwang Liu China · #64,337 worldwide 1k citations · 114 works
- 9 Xin Xu China · #73,204 worldwide 841 citations · 177 works
- 10 Yao Qin China · #78,354 worldwide 406 citations · 33 works
Which keywords describe research at National University of Defense Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Signal Processing, Wireless Communications, Multi-Agent Systems and Sparse Representation.
- Cognitive Radar
- Channel Estimation
- Optimal Control
- Image Classification
- Mobile Robots
- Waveform Design
- MIMO Radar
- Information Retrieval
- Sensor Fusion
- Fiber Lasers
- Wavelet Transform
- Representation Learning
- Synthetic Aperture Radar
- Anomaly Detection
- Doppler Radar
- Detection
- Multi-Agent Systems
- Signal Processing
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Remote Sensing
- Wireless Communications
- Sparse Representation
- Wireless Sensor Networks
- Robotics
- Micro-Doppler Effect
- Nonlinear Optics
- IoT Security
- Semi-Supervised Learning
- Collision Avoidance
- Large-Eddy Simulation
- Autonomous Vehicles
- Path Planning
- Text Classification
- Trajectory Optimization
- Unsupervised Learning
- Optical Fiber
- Automotive Radar
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 Learning2,625▲ 4.8×85 topics
- Machine Learning1,148▲ 2.2×89 topics
- Neural Networks1,130▲ 4.6×37 topics
- Convolutional Neural Networks688▲ 5.9×14 topics
- Remote Sensing560▲ 2.8×34 topics
- Signal Processing492▲ 22×7 topics
- Wireless Communications370▲ 13×5 topics
- Multi-Agent Systems368▲ 12×6 topics
- Sparse Representation358▲ 12×6 topics
- Detection304▲ 6.4×9 topics
- Wireless Sensor Networks302▲ 4.2×21 topics
- Doppler Radar295▲ 24×2 topics
- Robotics294▲ 7.5×10 topics
- Anomaly Detection290▲ 6.2×5 topics
- Micro-Doppler Effect288▲ 63×1 topic
- Synthetic Aperture Radar288▲ 63×1 topic
- Nonlinear Optics278▲ 16×4 topics
- Representation Learning255▲ 12×3 topics
- IoT Security251▲ 4.9×3 topics
- Wavelet Transform240▲ 6.5×7 topics
- Semi-Supervised Learning238▲ 13×3 topics
- Fiber Lasers237▲ 15×3 topics
- Collision Avoidance235▲ 8.0×4 topics
- Sensor Fusion225▲ 13×3 topics
- Large-Eddy Simulation224▲ 7.3×5 topics
- Information Retrieval217▲ 6.2×5 topics
- Autonomous Vehicles215▲ 6.4×4 topics
- MIMO Radar213▲ 39×2 topics
- Path Planning207▲ 10×3 topics
- Waveform Design195▲ 33×2 topics
- Text Classification192▲ 7.6×3 topics
- Mobile Robots191▲ 12×3 topics
- Trajectory Optimization191▲ 21×2 topics
- Image Classification190▲ 6.9×3 topics
- Unsupervised Learning187▲ 8.2×3 topics
- Optimal Control183▲ 16×6 topics
- Optical Fiber183▲ 11×3 topics
- Channel Estimation183▲ 13×4 topics
- Automotive Radar173▲ 44×1 topic
- Cognitive Radar173▲ 44×1 topic
Which research topics does National University of Defense Technology publish most on?
By volume in 2022–2025: Advanced SAR Imaging Techniques, Radar Systems and Signal Processing, Advanced Neural Network Applications and Robotics and Sensor-Based Localization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced SAR Imaging Techniques Aerospace Engineering 288 works
- 2 Radar Systems and Signal Processing Aerospace Engineering 173 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 170 works
- 4 Robotics and Sensor-Based Localization Aerospace Engineering 161 works
- 5 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 156 works
- 6 Topic Modeling Artificial Intelligence 151 works
- 7 Advanced Graph Neural Networks Artificial Intelligence 136 works
- 8 Computational Fluid Dynamics and Aerodynamics Computational Mechanics 136 works
- 9 Infrared Target Detection Methodologies Aerospace Engineering 132 works
- 10 UAV Applications and Optimization Aerospace Engineering 128 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 National University of Defense Technology's research output changed?
Output in 2018–2022 was 21% 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 Changsha
- Central South University
- Hunan University
- Hunan Normal University
- Changsha University of Science and Technology
- Hunan Agricultural University
- Xiangya Hospital Central South University
- Second Xiangya Hospital of Central South University
- Central South University of Forestry 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.