Tsinghua University
In research, Tsinghua University stands highest in Engineering (#1 of 6,636 worldwide), Physical Sciences (#2 of 12,888 worldwide) and Computer Science (#1 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Acoustics and Ultrasonics, Energy Engineering and Power Technology and Fluid Flow and Transfer Processes — Acoustics and Ultrasonics is 5.2× its share of world research.
- World rank, 2022–2025
- #2 of 28,054 · #36 all time
- Rank in China
- #2 of 3,058
- Research works
- 188k ▲ 17% vs 2013–17
- Citations
- 4.3M 22.7 per fractional work
- Top-10% rate
- 27.2% record average 16.5%
- Open access
- 23% world 28%
What is Tsinghua University 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 | #1 of 6,636 | 25.6% | 16,314 | #2 | |
| Physical SciencesDomain | #2 of 12,888 | 26.5% | 32,491 | #19 | |
| Computer ScienceField | #1 of 4,667 | 27.7% | 6,104 | #15 | |
| Electrical and Electronic EngineeringSubfield | #1 of 2,318 | 23.3% | 4,675 | #1 | |
| Artificial IntelligenceSubfield | #1 of 1,884 | 29.8% | 2,090 | #7 | |
| Computer Vision and Pattern RecognitionSubfield | #1 of 941 | 27.4% | 1,664 | #6 | |
| Environmental ScienceField | #4 of 3,551 | 31.5% | 2,163 | #21 | |
| Materials ScienceField | #3 of 2,468 | 25.6% | 2,770 | #8 | |
| Biomedical EngineeringSubfield | #2 of 1,568 | 22.1% | 1,798 | #8 | |
| Materials ChemistrySubfield | #2 of 1,556 | 25.3% | 1,811 | #5 |
Each strip is that field’s whole ranked pool, with the notch where Tsinghua University 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 #1
- Physical Sciences#19 #2
- Computer Science#15 #1
- Electrical and Electronic Engineering#1 #1
- Artificial Intelligence#7 #1
- Computer Vision and Pattern Recognition#6 #1
- Environmental Science#21 #4
- Materials Science#8 #3
- Biomedical Engineering#8 #2
- Materials Chemistry#5 #2
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Tsinghua University specialise in?
Where its research is concentrated relative to its size: Acoustics and Ultrasonics takes 5.2× the share of its output that it takes of world research.
- Acoustics and UltrasonicsSubfield · 24.2 works5.2×
- Energy Engineering and Power TechnologySubfield · 196.2 works4.5×
- Fluid Flow and Transfer ProcessesSubfield · 130.2 works4.2×
- Automotive EngineeringSubfield · 856.5 works4.0×
- Hardware and ArchitectureSubfield · 179.4 works4.0×
- Computational MechanicsSubfield · 906.5 works3.9×
- Structural BiologySubfield · 22.8 works3.5×
- Surfaces, Coatings and FilmsSubfield · 138.8 works3.5×
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: Chemical Engineering, 2.9×. Every wedge is a field page.
- Chemical Engineering 2.9×
- Engineering 2.7×
- Energy 2.3×
- Physics and Astronomy 2.0×
- Materials Science 2.0×
- Computer Science 1.9×
- Chemistry 1.3×
- Mathematics 1.2×
- Decision Sciences 1.1×
- Environmental Science 1.1×
- Earth and Planetary Sciences 1.0×
- Neuroscience 0.7×
- Economics, Econometrics and Finance 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Business, Management and Accounting 0.5×
- Psychology 0.4×
- Immunology and Microbiology 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Social Sciences 0.3×
- Medicine 0.2×
- Health Professions 0.2×
- Agricultural and Biological Sciences 0.2×
- Arts and Humanities 0.2×
- Nursing 0.1×
- Dentistry 0.1×
- Veterinary 0.0×
Who are the top researchers at Tsinghua University?
Ranked on the composite score, Linglong Dai, Hai-Tao Zheng and Zhiyuan Liu lead among researchers whose main affiliation is Tsinghua University.
- 1 Linglong Dai · #3,147 worldwide 1.9k citations · 109 works
- 2 Hai-Tao Zheng · #4,641 worldwide 1.8k citations · 120 works
- 3 Zhiyuan Liu · #5,186 worldwide 3.7k citations · 232 works
- 4 Jifeng Dai · #5,221 worldwide 2.9k citations · 59 works
- 5 Jie Tang · #5,857 worldwide 2.1k citations · 151 works
- 6 Yankai Lin · #6,151 worldwide 1.8k citations · 59 works
- 7 Maosong Sun · #6,176 worldwide 3.4k citations · 214 works
- 8 Jianmin Wang · #7,145 worldwide 2.2k citations · 211 works
- 9 Yunhao Liu · #7,443 worldwide 1.4k citations · 56 works
- 10 Jun Zhu · #8,374 worldwide 2k citations · 123 works
Which keywords describe research at Tsinghua University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Energy Storage, Renewable Energy, Cathode Materials, Lithium-ion Batteries and Smart Grid.
- Reinforcement Learning
- Convolutional Networks
- Battery Materials
- Electrocatalysis
- Numerical Simulation
- Metal-Organic Frameworks
- Autonomous Vehicles
- Rechargeable Batteries
- Power Electronics
- Electric Vehicles
- Graphene
- Heat Transfer
- Convolutional Neural Networks
- Mechanical Properties
- Nanocomposites
- Nanomaterials
- Energy Efficiency
- Environmental Impact
- Renewable Energy
- Machine Learning
- Deep Learning
- Neural Networks
- Energy Storage
- Biomedical Applications
- Nanoparticles
- Cathode Materials
- Lithium-ion Batteries
- Remote Sensing
- Catalysis
- Smart Grid
- Thermal Management
- Battery Technology
- Renewable Energy Integration
- Optimization
- Model Predictive Control
- Water Splitting
- Large-Eddy Simulation
- Unsupervised Learning
- Nanostructured Anodes
- Battery Management Systems
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 Learning3,509▲ 2.5×85 topics
- Machine Learning1,886▲ 1.43×93 topics
- Neural Networks1,870▲ 3.0×38 topics
- Renewable Energy1,245▲ 2.1×50 topics
- Energy Storage976▲ 3.7×12 topics
- Environmental Impact871▲ 1.27×64 topics
- Biomedical Applications857▲ 1.79×35 topics
- Energy Efficiency834▲ 2.2×41 topics
- Nanoparticles803▲ 1.58×44 topics
- Nanomaterials800▲ 1.87×20 topics
- Cathode Materials705▲ 4.4×3 topics
- Nanocomposites704▲ 2.2×22 topics
- Lithium-ion Batteries688▲ 4.0×4 topics
- Mechanical Properties683▲ 1.74×39 topics
- Remote Sensing663▲ 1.33×39 topics
- Convolutional Neural Networks658▲ 2.2×14 topics
- Catalysis658▲ 2.4×29 topics
- Heat Transfer650▲ 3.2×20 topics
- Smart Grid613▲ 4.0×10 topics
- Graphene605▲ 2.2×12 topics
- Thermal Management564▲ 4.2×8 topics
- Electric Vehicles558▲ 4.7×4 topics
- Battery Technology540▲ 4.7×3 topics
- Power Electronics491▲ 3.7×8 topics
- Renewable Energy Integration475▲ 3.5×6 topics
- Rechargeable Batteries455▲ 4.2×2 topics
- Optimization432▲ 2.3×26 topics
- Autonomous Vehicles426▲ 5.0×5 topics
- Model Predictive Control424▲ 4.0×6 topics
- Metal-Organic Frameworks417▲ 2.5×6 topics
- Water Splitting395▲ 2.7×4 topics
- Numerical Simulation392▲ 3.3×14 topics
- Large-Eddy Simulation374▲ 4.8×5 topics
- Electrocatalysis359▲ 3.1×5 topics
- Unsupervised Learning320▲ 5.6×3 topics
- Battery Materials304▲ 4.5×1 topic
- Nanostructured Anodes304▲ 4.5×1 topic
- Convolutional Networks303▲ 5.3×3 topics
- Battery Management Systems291▲ 4.7×1 topic
- Reinforcement Learning272▲ 6.2×4 topics
Which research topics does Tsinghua University publish most on?
By volume in 2022–2025: Advancements in Battery Materials, Advanced Battery Technologies Research, Advanced Battery Materials and Technologies and Advanced Sensor and Energy Harvesting Materials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advancements in Battery MaterialsElectrical and Electronic Engineering 304 works
- 2 Advanced Battery Technologies ResearchAutomotive Engineering 291 works
- 3 Advanced Battery Materials and TechnologiesElectrical and Electronic Engineering 250 works
- 4 Advanced Sensor and Energy Harvesting MaterialsBiomedical Engineering 222 works
- 5 Electrocatalysts for Energy ConversionRenewable Energy, Sustainability and the Environment 197 works
- 6 Catalytic Processes in Materials ScienceMaterials Chemistry 193 works
- 7 Advanced Neural Network ApplicationsComputer Vision and Pattern Recognition 187 works
- 8 Topic ModelingArtificial Intelligence 184 works
- 9 Advanced Photocatalysis TechniquesRenewable Energy, Sustainability and the Environment 179 works
- 10 Autonomous Vehicle Technology and SafetyAutomotive Engineering 174 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 Tsinghua University's research output changed?
Output in 2018–2022 was 17% 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
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- 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.