Xi’an Jiaotong-Liverpool University
In research, Xi’an Jiaotong-Liverpool University stands highest in Social Sciences (#460 of 10,521 worldwide), Computer Science (#311 of 4,667 worldwide) and Physical Sciences (#999 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Human-Computer Interaction, Finance and Management Science and Operations Research — Human-Computer Interaction is 8.4× its share of world research.
- World rank, 2022–2025
- #1,044 of 28,054 · #2,726 all time
- Rank in China
- #334 of 3,058
- Research works
- 8k ▲ 125% vs 2013–17
- Citations
- 88k 10.9 per fractional work
- Top-10% rate
- 21.5% record average 16.5%
- Open access
- 42% world 28%
What is Xi’an Jiaotong-Liverpool 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 |
|---|---|---|---|---|---|
| Social SciencesDomain | #460 of 10,521 | 26.0% | 1,594 | #968 | |
| Computer ScienceField | #311 of 4,667 | 20.5% | 850 | #1050 | |
| Physical SciencesDomain | #999 of 12,888 | 18.9% | 2,310 | #2796 | |
| EngineeringField | #554 of 6,636 | 16.5% | 940 | #1649 | |
| Social SciencesField | #602 of 6,365 | 28.5% | 543 | #1107 | |
| Artificial IntelligenceSubfield | #243 of 1,884 | 24.1% | 274 | #628 | |
| Business, Management and AccountingField | #339 of 2,578 | 28.3% | 344 | #880 | |
| Economics, Econometrics and FinanceField | #278 of 1,775 | 22.3% | 258 | #717 | |
| Computer Vision and Pattern RecognitionSubfield | #160 of 941 | 18.1% | 224 | #539 | |
| Environmental ScienceField | #715 of 3,551 | 27.3% | 158 | #1667 |
Each strip is that field’s whole ranked pool, with the notch where Xi’an Jiaotong-Liverpool 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.
- Social Sciences#968 #460
- Computer Science#1,050 #311
- Physical Sciences#2,796 #999
- Engineering#1,649 #554
- Social Sciences#1,107 #602
- Artificial Intelligence#628 #243
- Business, Management and Accounting#880 #339
- Economics, Econometrics and Finance#717 #278
- Computer Vision and Pattern Recognition#539 #160
- Environmental Science#1,667 #715
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Xi’an Jiaotong-Liverpool University specialise in?
Where its research is concentrated relative to its size: Human-Computer Interaction takes 8.4× the share of its output that it takes of world research.
- Human-Computer InteractionSubfield · 76.2 works8.4×
- FinanceSubfield · 78.7 works5.9×
- Management Science and Operations ResearchSubfield · 101.7 works4.7×
- Computer Vision and Pattern RecognitionSubfield · 223.8 works4.0×
- Signal ProcessingSubfield · 43.1 works3.2×
- Decision SciencesField · 132.2 works3.1×
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: Decision Sciences, 3.1×. Every wedge is a field page.
- Decision Sciences 3.1×
- Economics, Econometrics and Finance 2.7×
- Computer Science 2.5×
- Business, Management and Accounting 2.4×
- Engineering 1.4×
- Energy 1.4×
- Mathematics 1.3×
- Psychology 1.3×
- Neuroscience 1.2×
- Arts and Humanities 1.1×
- Social Sciences 1.0×
- Physics and Astronomy 0.8×
- Environmental Science 0.7×
- Earth and Planetary Sciences 0.6×
- Materials Science 0.6×
- Chemistry 0.5×
- Chemical Engineering 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Health Professions 0.3×
- Nursing 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Agricultural and Biological Sciences 0.3×
- Immunology and Microbiology 0.3×
- Medicine 0.2×
- Veterinary 0.1×
- Dentistry 0.1×
Who are the top researchers at Xi’an Jiaotong-Liverpool University?
Ranked on the composite score, Victor Chang, Huiqing Wen and Mingjie Sun lead among researchers whose main affiliation is Xi’an Jiaotong-Liverpool University.
- 1 Victor Chang China · #39,490 worldwide 1.1k citations · 146 works
- 2 Huiqing Wen China · #126,690 worldwide 315 citations · 72 works
- 3 Mingjie Sun China · #129,528 worldwide 259 citations · 38 works
- 4 Fei Ma China · #143,348 worldwide 141 citations · 38 works
- 5 Jun Qi China · #144,537 worldwide 239 citations · 34 works
- 6 Shaofeng Lu China · #152,752 worldwide 191 citations · 35 works
- 7 Yina Liu China · #171,563 worldwide 186 citations · 39 works
- 8 T. O. Ting China · #176,246 worldwide 222 citations · 26 works
- 9 Alan Maley China · #276,345 worldwide 60 citations · 52 works
- 10 Limin Yu China · #282,193 worldwide 167 citations · 44 works
Which keywords describe research at Xi’an Jiaotong-Liverpool University?
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, Virtual Reality, Support Vector Machines, Sentiment Analysis and Economic Growth.
- Ownership Structure
- Market Efficiency
- Image Classification
- Transfer Learning
- Presence
- Monetary Policy
- Stock Market Prediction
- Forecasting Models
- Consumer Behavior
- Feature Extraction
- Risk Management
- Support Vector Machines
- Big Data
- Corporate Governance
- Social Media
- Internet of Things
- Economic Growth
- Convolutional Neural Networks
- Sustainability
- Machine Learning
- Deep Learning
- Neural Networks
- Globalization
- Artificial Intelligence
- Renewable Energy
- Virtual Reality
- Healthcare
- Supply Chain Management
- Social Capital
- Social Interaction
- Security
- Sentiment Analysis
- Learning Outcomes
- Embodiment
- Time Series Forecasting
- Immersion
- Time Series
- Firm Performance
- Asset Pricing
- Investor Protection
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 Learning512▲ 3.4×81 topics
- Machine Learning294▲ 2.0×88 topics
- Neural Networks274▲ 4.0×37 topics
- Sustainability134▲ 1.24×75 topics
- Globalization124▲ 1.44×71 topics
- Convolutional Neural Networks118▲ 3.6×14 topics
- Artificial Intelligence102▲ 1.68×48 topics
- Economic Growth95▲ 2.5×25 topics
- Renewable Energy94▲ 1.48×36 topics
- Internet of Things92▲ 2.4×28 topics
- Virtual Reality89▲ 4.0×15 topics
- Social Media84▲ 1.33×25 topics
- Healthcare83▲ 1.67×20 topics
- Corporate Governance82▲ 2.5×22 topics
- Supply Chain Management81▲ 1.97×21 topics
- Big Data76▲ 1.91×28 topics
- Social Capital73▲ 3.1×15 topics
- Support Vector Machines73▲ 5.2×8 topics
- Social Interaction71▲ 4.0×11 topics
- Risk Management68▲ 3.2×14 topics
- Security67▲ 2.3×21 topics
- Feature Extraction61▲ 3.0×10 topics
- Sentiment Analysis60▲ 12×2 topics
- Consumer Behavior58▲ 2.1×16 topics
- Learning Outcomes56▲ 3.0×7 topics
- Forecasting Models52▲ 16×2 topics
- Embodiment52▲ 6.3×6 topics
- Stock Market Prediction47▲ 19×1 topic
- Time Series Forecasting47▲ 19×1 topic
- Monetary Policy47▲ 4.4×9 topics
- Immersion42▲ 14×1 topic
- Presence42▲ 14×1 topic
- Time Series38▲ 4.8×3 topics
- Transfer Learning37▲ 4.4×3 topics
- Firm Performance37▲ 4.4×3 topics
- Image Classification37▲ 4.9×3 topics
- Asset Pricing30▲ 7.9×3 topics
- Market Efficiency30▲ 9.7×2 topics
- Investor Protection29▲ 8.1×1 topic
- Ownership Structure29▲ 8.1×1 topic
Which research topics does Xi’an Jiaotong-Liverpool University publish most on?
By volume in 2022–2025: Stock Market Forecasting Methods, Virtual Reality Applications and Impacts, Advanced Neural Network Applications and Corporate Finance and Governance.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Stock Market Forecasting Methods Management Science and Operations Research 47 works
- 2 Virtual Reality Applications and Impacts Human-Computer Interaction 42 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 32 works
- 4 Corporate Finance and Governance Accounting 29 works
- 5 Financial Markets and Investment Strategies Finance 25 works
- 6 Blockchain Technology Applications and Security Information Systems 25 works
- 7 Market Dynamics and Volatility Economics and Econometrics 22 works
- 8 Topic Modeling Artificial Intelligence 20 works
- 9 Augmented Reality Applications Computer Vision and Pattern Recognition 19 works
- 10 Anomaly Detection Techniques and Applications Artificial Intelligence 19 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 Xi’an Jiaotong-Liverpool University's research output changed?
Output in 2018–2022 was 125% 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 Suzhou
- Soochow University
- Suzhou University of Science and Technology
- First Affiliated Hospital of Soochow University
- Suzhou Research Institute
- Second Affiliated Hospital of Soochow University
- Suzhou Institute of Nano-tech and Nano-bionics
- Suzhou Vocational University
- Suzhou Municipal Hospital
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.