Guangdong University Of Finances and Economics
In research, Guangdong University Of Finances and Economics stands highest in Social Sciences (#1,502 of 10,521 worldwide), Economics, Econometrics and Finance (#261 of 1,775 worldwide) and Economics and Econometrics (#239 of 1,272 worldwide), 2022–2025. Relative to its size it is most specialised in Business and International Management, Economics and Econometrics and Economics, Econometrics and Finance — Business and International Management is 18.4× its share of world research.
- World rank, 2022–2025
- #4,439 of 28,054 · #8,431 all time
- Rank in China
- #1,008 of 3,058
- Research works
- 4.7k ▲ 59% vs 2013–17
- Citations
- 18k 3.8 per fractional work
- Top-10% rate
- 22.5% record average 16.5%
- Open access
- 21% world 28%
What is Guangdong University Of Finances and Economics 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 | #1,502 of 10,521 | 29.8% | 534 | #2805 | |
| Economics, Econometrics and FinanceField | #261 of 1,775 | 43.8% | 130 | #895 | |
| Economics and EconometricsSubfield | #239 of 1,272 | 47.8% | 98 | #844 | |
| Physical SciencesDomain | #3,887 of 12,888 | 14.3% | 422 | #6792 | |
| Business, Management and AccountingField | #811 of 2,578 | 29.0% | 161 | #1621 | |
| Social SciencesField | #2,702 of 6,365 | 23.2% | 151 | #4347 | |
| Computer ScienceField | #2,210 of 4,667 | 9.8% | 179 | #3519 | |
| EngineeringField | #3,757 of 6,636 | 14.4% | 98 | #7133 | |
| Sociology and Political ScienceSubfield | #1,601 of 2,578 | 25.2% | 62 | #2731 | |
| Artificial IntelligenceSubfield | #1,632 of 1,884 | 10.1% | 77 | #2466 |
Each strip is that field’s whole ranked pool, with the notch where Guangdong University Of Finances and Economics 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#2,805 #1,502
- Economics, Econometrics and Finance#895 #261
- Economics and Econometrics#844 #239
- Physical Sciences#6,792 #3,887
- Business, Management and Accounting#1,621 #811
- Social Sciences#4,347 #2,702
- Computer Science#3,519 #2,210
- Engineering#7,133 #3,757
- Sociology and Political Science#2,731 #1,601
- Artificial Intelligence#2,466 #1,632
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Guangdong University Of Finances and Economics specialise in?
Where its research is concentrated relative to its size: Business and International Management takes 18.4× the share of its output that it takes of world research.
- Business and International ManagementSubfield · 20.0 works18×
- Economics and EconometricsSubfield · 98.3 works6.0×
- Economics, Econometrics and FinanceField · 130.4 works5.9×
- Management Science and Operations ResearchSubfield · 29.9 works5.9×
- MarketingSubfield · 24.0 works5.5×
- AccountingSubfield · 34.1 works5.4×
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: Economics, Econometrics and Finance, 5.9×. Every wedge is a field page.
- Economics, Econometrics and Finance 5.9×
- Business, Management and Accounting 4.8×
- Decision Sciences 4.2×
- Mathematics 3.7×
- Computer Science 2.2×
- Energy 1.3×
- Social Sciences 1.2×
- Environmental Science 1.0×
- Psychology 0.9×
- Arts and Humanities 0.7×
- Engineering 0.6×
- Neuroscience 0.5×
- Physics and Astronomy 0.5×
- Chemical Engineering 0.5×
- Chemistry 0.4×
- Health Professions 0.4×
- Nursing 0.4×
- Earth and Planetary Sciences 0.3×
- Materials Science 0.3×
- Agricultural and Biological Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
Who are the top researchers at Guangdong University Of Finances and Economics?
Ranked on the composite score, Feng Zhou, Wang Jian-guo and Yushan Zhang lead among researchers whose main affiliation is Guangdong University Of Finances and Economics.
- 1 Feng Zhou China · #441,866 worldwide 121 citations · 19 works
- 2 Wang Jian-guo China · #854,136 worldwide 0 citations · 18 works
- 3 Yushan Zhang China · #873,856 worldwide 68 citations · 24 works
- 4 Yuji Liu China · #945,604 worldwide 108 citations · 64 works
- 5 XU Li-hua China · #976,485 worldwide 0 citations · 16 works
- 6 Heming Yong China · #1,041,891 worldwide 0 citations · 27 works
- 7 Yan Chao China · #1,145,217 worldwide 0 citations · 17 works
- 8 Wu Min China · #1,299,136 worldwide 1 citations · 17 works
- 9 Shimin Li China · #1,301,721 worldwide 31 citations · 19 works
- 10 Yamin Wen China · #1,306,223 worldwide 15 citations · 15 works
Which keywords describe research at Guangdong University Of Finances and Economics?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Economic Growth, Deep Learning, Artificial Intelligence, Urbanization, Machine Learning, Economic Development, Internet of Things and Neural Networks.
- Information Systems
- Ecological Protection
- Cloud Computing
- Elderly Care
- Cross-Border E-Commerce
- Regional Development
- Supply Chain
- Logistics
- Risk Assessment
- Environmental Regulation
- Supply Chain Management
- Big Data Analytics
- Financial Development
- CO2 Emissions
- Innovation
- Renewable Energy
- Sustainable Development
- Economic Development
- Artificial Intelligence
- Economic Growth
- Deep Learning
- Machine Learning
- Neural Networks
- Internet of Things
- Urbanization
- Big Data
- Corporate Governance
- Data Mining
- Regional Planning
- Panel Data Analysis
- Energy Consumption
- Kuznets Curve
- Social Capital
- International Trade
- Social Support
- Digital Technologies
- Fuzzy Theory
- Innovation Management
- Agricultural Development
- Rural Revitalization
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 Learning102▲ 2.9×74 topics
- Economic Growth73▲ 8.3×21 topics
- Machine Learning72▲ 2.1×75 topics
- Artificial Intelligence63▲ 4.5×46 topics
- Neural Networks48▲ 3.0×34 topics
- Economic Development44▲ 5.2×24 topics
- Internet of Things43▲ 4.8×24 topics
- Sustainable Development40▲ 2.4×41 topics
- Urbanization39▲ 9.3×10 topics
- Renewable Energy39▲ 2.6×25 topics
- Big Data35▲ 3.8×27 topics
- Innovation32▲ 2.9×33 topics
- Corporate Governance30▲ 4.0×17 topics
- CO2 Emissions30▲ 16×3 topics
- Data Mining29▲ 3.8×18 topics
- Financial Development29▲ 18×3 topics
- Regional Planning28▲ 37×2 topics
- Big Data Analytics28▲ 13×5 topics
- Panel Data Analysis28▲ 17×2 topics
- Supply Chain Management28▲ 2.9×17 topics
- Energy Consumption28▲ 12×4 topics
- Environmental Regulation27▲ 17×1 topic
- Kuznets Curve27▲ 23×1 topic
- Risk Assessment26▲ 3.8×10 topics
- Social Capital25▲ 4.6×15 topics
- Logistics24▲ 15×6 topics
- International Trade23▲ 16×6 topics
- Supply Chain23▲ 11×8 topics
- Social Support22▲ 3.8×8 topics
- Regional Development21▲ 5.8×11 topics
- Digital Technologies20▲ 14×4 topics
- Cross-Border E-Commerce19▲ 36×1 topic
- Fuzzy Theory19▲ 36×1 topic
- Elderly Care19▲ 12×4 topics
- Innovation Management19▲ 11×3 topics
- Cloud Computing18▲ 6.1×13 topics
- Agricultural Development17▲ 10.0×2 topics
- Ecological Protection17▲ 49×1 topic
- Rural Revitalization17▲ 49×1 topic
- Information Systems15▲ 8.4×5 topics
Which research topics does Guangdong University Of Finances and Economics publish most on?
By volume in 2022–2025: Energy, Environment, Economic Growth, E-commerce and Technology Innovations, Regional Development and Environment and Educational Reforms and Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energy, Environment, Economic Growth Economics and Econometrics 27 works
- 2 E-commerce and Technology Innovations Business and International Management 19 works
- 3 Regional Development and Environment Sociology and Political Science 17 works
- 4 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 12 works
- 5 Corporate Finance and Governance Accounting 12 works
- 6 Advanced Technologies in Various Fields Artificial Intelligence 11 works
- 7 Digital Marketing and Social Media Sociology and Political Science 10 works
- 8 Environmental Sustainability in Business Marketing 9 works
- 9 Educational Technology and Pedagogy Artificial Intelligence 8 works
- 10 Energy, Environment, and Transportation Policies Renewable Energy, Sustainability and the Environment 8 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 Guangdong University Of Finances and Economics's research output changed?
Output in 2018–2022 was 59% 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 Guangzhou
- Sun Yat-sen University
- South China University of Technology
- Jinan University
- Guangdong University of Technology
- South China Normal University
- Southern Medical University
- South China Agricultural University
- Guangzhou University
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.