Beijing Institute of Technology
In research, Beijing Institute of Technology stands highest in Engineering (#6 of 6,636 worldwide), Physical Sciences (#12 of 12,888 worldwide) and Electrical and Electronic Engineering (#3 of 2,318 worldwide), 2022–2025. Relative to its size it is most specialised in Acoustics and Ultrasonics, Aerospace Engineering and Automotive Engineering — Acoustics and Ultrasonics is 12.8× its share of world research.
- World rank, 2022–2025
- #26 of 28,054 · #195 all time
- Rank in China
- #16 of 3,058
- Research works
- 80k ▲ 42% vs 2013–17
- Citations
- 1.2M 14.9 per fractional work
- Top-10% rate
- 23.7% record average 16.5%
- Open access
- 23% world 28%
What is Beijing Institute of 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 |
|---|---|---|---|---|---|
| EngineeringField | #6 of 6,636 | 24.0% | 12,026 | #28 | |
| Physical SciencesDomain | #12 of 12,888 | 22.9% | 21,737 | #119 | |
| Electrical and Electronic EngineeringSubfield | #3 of 2,318 | 23.3% | 2,825 | #23 | |
| Materials ScienceField | #10 of 2,468 | 22.5% | 2,223 | #76 | |
| Automotive EngineeringSubfield | #2 of 347 | 26.8% | 802 | #2 | |
| Economics, Econometrics and FinanceField | #13 of 1,775 | 55.6% | 276 | #58 | |
| Aerospace EngineeringSubfield | #6 of 795 | 35.3% | 2,158 | #19 | |
| Materials ChemistrySubfield | #12 of 1,556 | 20.3% | 1,374 | #82 | |
| Economics and EconometricsSubfield | #10 of 1,272 | 61.1% | 222 | #39 | |
| Mechanical EngineeringSubfield | #12 of 1,351 | 21.6% | 1,297 | #53 |
Each strip is that field’s whole ranked pool, with the notch where Beijing Institute of 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.
- Engineering#28 #6
- Physical Sciences#119 #12
- Electrical and Electronic Engineering#23 #3
- Materials Science#76 #10
- Automotive Engineering#2 #2
- Economics, Econometrics and Finance#58 #13
- Aerospace Engineering#19 #6
- Materials Chemistry#82 #12
- Economics and Econometrics#39 #10
- Mechanical Engineering#53 #12
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Beijing Institute of Technology specialise in?
Where its research is concentrated relative to its size: Acoustics and Ultrasonics takes 12.8× the share of its output that it takes of world research.
- Acoustics and UltrasonicsSubfield · 35.9 works13×
- Aerospace EngineeringSubfield · 2,157.8 works7.5×
- Automotive EngineeringSubfield · 802.1 works6.1×
- Fluid Flow and Transfer ProcessesSubfield · 99.8 works5.2×
- InstrumentationSubfield · 58.2 works4.8×
- Computer Vision and Pattern RecognitionSubfield · 1,445.5 works4.7×
- Control and Systems EngineeringSubfield · 1,149.7 works4.3×
- Mechanics of MaterialsSubfield · 724.5 works4.1×
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, 3.3×. Every wedge is a field page.
- Engineering 3.3×
- Materials Science 2.6×
- Chemical Engineering 2.5×
- Computer Science 2.2×
- Physics and Astronomy 1.8×
- Energy 1.7×
- Chemistry 1.4×
- Decision Sciences 1.0×
- Mathematics 1.0×
- Earth and Planetary Sciences 0.7×
- Neuroscience 0.7×
- Economics, Econometrics and Finance 0.5×
- Environmental Science 0.4×
- Business, Management and Accounting 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Psychology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Medicine 0.1×
- Health Professions 0.1×
- Social Sciences 0.1×
- Dentistry 0.1×
- Agricultural and Biological Sciences 0.1×
- Immunology and Microbiology 0.1×
- Nursing 0.1×
- Arts and Humanities 0.1×
- Veterinary 0.0×
Who are the top researchers at Beijing Institute of Technology?
Ranked on the composite score, Rui Xiong, Jianbing Shen and Wenguan Wang lead among researchers whose main affiliation is Beijing Institute of Technology.
- 1 Rui Xiong China · #6,550 worldwide 1.5k citations · 93 works
- 2 Jianbing Shen China · #9,177 worldwide 1.2k citations · 59 works
- 3 Wenguan Wang China · #11,065 worldwide 1.4k citations · 89 works
- 4 Keke Gai China · #17,548 worldwide 837 citations · 80 works
- 5 Mao‐Sheng Cao China · #22,115 worldwide 1.4k citations · 102 works
- 6 Yi‐Ming Wei China · #23,909 worldwide 1.6k citations · 141 works
- 7 Dong Li China · #26,654 worldwide 507 citations · 44 works
- 8 Jie Yuan China · #43,835 worldwide 605 citations · 70 works
- 9 Yuanqing Xia China · #44,047 worldwide 642 citations · 44 works
- 10 Fengchun Sun China · #45,983 worldwide 888 citations · 92 works
Which keywords describe research at Beijing Institute of Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Electric Vehicles, Cathode Materials, Lithium-ion Batteries, Autonomous Vehicles, Energy Storage and Machine Learning.
- Microstructural Evolution
- Thermal Runaway
- Safety Concerns
- Battery Materials
- ReaxFF
- Adaptive Control
- Signal Processing
- Path Planning
- Nonlinear Systems
- Sparse Representation
- Ionic Liquids
- Collision Avoidance
- Battery Technology
- Catalysis
- Autonomous Vehicles
- Remote Sensing
- Cathode Materials
- Energy Storage
- Mechanical Properties
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Electric Vehicles
- Lithium-ion Batteries
- Biomedical Applications
- Multi-Agent Systems
- Thermal Decomposition
- Rechargeable Batteries
- Thermal Management
- Model Predictive Control
- Metal Nanoparticles
- Wireless Communications
- Robotics
- Molecular Dynamics Simulations
- Energetic Salts
- Sensor Fusion
- Nanostructured Anodes
- Battery Management Systems
- Feedback Control
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 Learning2,596▲ 3.1×85 topics
- Neural Networks1,152▲ 3.0×40 topics
- Machine Learning1,137▲ 1.42×93 topics
- Mechanical Properties643▲ 2.7×38 topics
- Convolutional Neural Networks642▲ 3.6×14 topics
- Energy Storage630▲ 3.9×12 topics
- Electric Vehicles610▲ 8.4×4 topics
- Cathode Materials606▲ 6.3×3 topics
- Lithium-ion Batteries585▲ 5.6×4 topics
- Remote Sensing569▲ 1.88×36 topics
- Biomedical Applications544▲ 1.87×35 topics
- Autonomous Vehicles470▲ 9.2×5 topics
- Multi-Agent Systems449▲ 9.7×6 topics
- Catalysis424▲ 2.6×28 topics
- Thermal Decomposition400▲ 36×2 topics
- Battery Technology398▲ 5.7×3 topics
- Rechargeable Batteries392▲ 5.9×2 topics
- Collision Avoidance378▲ 8.4×4 topics
- Thermal Management377▲ 4.6×8 topics
- Ionic Liquids371▲ 5.4×10 topics
- Model Predictive Control364▲ 5.7×6 topics
- Sparse Representation345▲ 7.3×6 topics
- Metal Nanoparticles341▲ 8.3×6 topics
- Nonlinear Systems339▲ 6.5×8 topics
- Wireless Communications313▲ 7.3×5 topics
- Path Planning312▲ 10×3 topics
- Robotics308▲ 5.2×9 topics
- Signal Processing305▲ 8.9×8 topics
- Molecular Dynamics Simulations301▲ 29×2 topics
- Adaptive Control301▲ 9.1×7 topics
- Energetic Salts294▲ 50×1 topic
- ReaxFF294▲ 50×1 topic
- Sensor Fusion279▲ 10×3 topics
- Battery Materials273▲ 6.6×1 topic
- Nanostructured Anodes273▲ 6.6×1 topic
- Safety Concerns273▲ 7.1×2 topics
- Battery Management Systems273▲ 7.2×1 topic
- Thermal Runaway273▲ 7.2×1 topic
- Feedback Control272▲ 6.8×8 topics
- Microstructural Evolution269▲ 7.3×4 topics
Which research topics does Beijing Institute of Technology publish most on?
By volume in 2022–2025: Energetic Materials and Combustion, Advancements in Battery Materials, Advanced Battery Technologies Research and Robotic Path Planning Algorithms.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energetic Materials and Combustion Mechanics of Materials 294 works
- 2 Advancements in Battery Materials Electrical and Electronic Engineering 273 works
- 3 Advanced Battery Technologies Research Automotive Engineering 273 works
- 4 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 232 works
- 5 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 215 works
- 6 Robotics and Sensor-Based Localization Aerospace Engineering 172 works
- 7 High-Velocity Impact and Material Behavior Materials Chemistry 168 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 153 works
- 9 Advanced SAR Imaging Techniques Aerospace Engineering 151 works
- 10 Adaptive Control of Nonlinear Systems Control and Systems Engineering 138 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 Beijing Institute of Technology's research output changed?
Output in 2018–2022 was 42% 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
- University of Science and Technology Beijing
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.