Shanghai Normal University
In research, Shanghai Normal University stands highest in Physical Sciences (#815 of 12,888 worldwide), Social Sciences (#720 of 10,521 worldwide) and Social Sciences (#721 of 6,365 worldwide), 2022–2025. Relative to its size it is most specialised in Numerical Analysis, Mathematical Physics and Applied Mathematics — Numerical Analysis is 9.4× its share of world research.
- World rank, 2022–2025
- #970 of 28,054 · #1,530 all time
- Rank in China
- #310 of 3,058
- Research works
- 15k ▲ 18% vs 2013–17
- Citations
- 171k 11.5 per fractional work
- Top-10% rate
- 22.5% record average 16.5%
- Open access
- 30% world 28%
What is Shanghai Normal 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #815 of 12,888 | 17.1% | 1,918 | #1398 | |
| Social SciencesDomain | #720 of 10,521 | 31.4% | 1,006 | #1565 | |
| Social SciencesField | #721 of 6,365 | 33.1% | 403 | #1533 | |
| EducationSubfield | #267 of 1,892 | 37.8% | 135 | #759 | |
| Environmental ScienceField | #560 of 3,551 | 24.5% | 240 | #1366 | |
| EngineeringField | #1,403 of 6,636 | 15.2% | 545 | #2187 | |
| Sociology and Political ScienceSubfield | #551 of 2,578 | 33.9% | 126 | #1113 | |
| Life SciencesDomain | #1,704 of 7,800 | 23.4% | 449 | #2377 | |
| Computer ScienceField | #1,122 of 4,667 | 14.8% | 383 | #1897 | |
| Health SciencesDomain | #3,199 of 11,982 | 27.5% | 177 | #6358 |
Each strip is that field’s whole ranked pool, with the notch where Shanghai Normal 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.
- Physical Sciences#1,398 #815
- Social Sciences#1,565 #720
- Social Sciences#1,533 #721
- Education#759 #267
- Environmental Science#1,366 #560
- Engineering#2,187 #1,403
- Sociology and Political Science#1,113 #551
- Life Sciences#2,377 #1,704
- Computer Science#1,897 #1,122
- Health Sciences#6,358 #3,199
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shanghai Normal University specialise in?
Where its research is concentrated relative to its size: Numerical Analysis takes 9.4× the share of its output that it takes of world research.
- Numerical AnalysisSubfield · 28.5 works9.4×
- Mathematical PhysicsSubfield · 24.9 works4.4×
- Applied MathematicsSubfield · 38.1 works3.7×
- MathematicsField · 155.6 works3.7×
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: Mathematics, 3.7×. Every wedge is a field page.
- Mathematics 3.7×
- Psychology 2.4×
- Chemistry 2.0×
- Physics and Astronomy 1.9×
- Energy 1.8×
- Materials Science 1.7×
- Economics, Econometrics and Finance 1.6×
- Chemical Engineering 1.5×
- Computer Science 1.4×
- Environmental Science 1.4×
- Decision Sciences 1.2×
- Agricultural and Biological Sciences 1.1×
- Neuroscience 1.1×
- Engineering 1.0×
- Biochemistry, Genetics and Molecular Biology 1.0×
- Earth and Planetary Sciences 1.0×
- Business, Management and Accounting 0.9×
- Social Sciences 0.9×
- Arts and Humanities 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Nursing 0.4×
- Health Professions 0.3×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Veterinary 0.1×
- Dentistry 0.1×
Who are the top researchers at Shanghai Normal University?
Ranked on the composite score, Jun Gao, Ben‐yu Guo and Aimin Yan lead among researchers whose main affiliation is Shanghai Normal University.
- 1 Jun Gao · #59,485 worldwide 232 citations · 39 works
- 2 Ben‐yu Guo · #114,937 worldwide 206 citations · 23 works
- 3 Aimin Yan · #125,833 worldwide 289 citations · 39 works
- 4 Liping Fu · #163,488 worldwide 323 citations · 20 works
- 5 Hexing Li · #178,174 worldwide 1.1k citations · 116 works
- 6 Ying Wan · #182,303 worldwide 265 citations · 26 works
- 7 Guisheng Li · #193,066 worldwide 516 citations · 66 works
- 8 Haiguang Chen · #200,295 worldwide 95 citations · 27 works
- 9 Lu-Chuan Ceng · #202,382 worldwide 215 citations · 58 works
- 10 Shengfan Zhou · #226,848 worldwide 143 citations · 32 works
Which keywords describe research at Shanghai Normal University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Emotion Regulation, Phylogeny, Nanomaterials, Catalysis, Mental Health, Machine Learning and Taxonomy.
- Regional Planning
- Developmental Trajectories
- Parenting
- Anxiety Disorders
- Self-Regulation
- Psychopathology
- DNA Barcoding
- Reactive Oxygen Species
- Biogeography
- Water Splitting
- Evolution
- Well-being
- Urbanization
- Depression
- Graphene
- Catalysis
- Biomedical Applications
- Artificial Intelligence
- Mental Health
- Machine Learning
- Deep Learning
- Climate Change
- Neural Networks
- Nanomaterials
- Nanoparticles
- Remote Sensing
- Emotion Regulation
- Biosensors
- Metal-Organic Frameworks
- Biodiversity Conservation
- Child Development
- Phylogeny
- Ecosystem Services
- Adolescents
- Taxonomy
- Academic Achievement
- Visible Light
- CO2 Reduction
- Photothermal Therapy
- Behavioral Problems
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 Learning203▲ 1.67×82 topics
- Machine Learning120◆ 1.03×78 topics
- Climate Change98◆ 1.03×74 topics
- Mental Health87▲ 1.67×26 topics
- Neural Networks84▲ 1.53×35 topics
- Artificial Intelligence81▲ 1.67×36 topics
- Nanomaterials81▲ 2.2×17 topics
- Biomedical Applications78▲ 1.86×33 topics
- Nanoparticles78▲ 1.75×35 topics
- Catalysis68▲ 2.9×25 topics
- Remote Sensing63▲ 1.44×35 topics
- Graphene62▲ 2.6×10 topics
- Emotion Regulation57▲ 5.1×9 topics
- Depression53▲ 1.71×15 topics
- Biosensors53▲ 2.9×12 topics
- Urbanization53▲ 3.6×9 topics
- Metal-Organic Frameworks46▲ 3.1×6 topics
- Well-being46▲ 3.4×14 topics
- Biodiversity Conservation46▲ 3.5×10 topics
- Evolution44▲ 5.0×11 topics
- Child Development43▲ 2.9×7 topics
- Water Splitting43▲ 3.3×4 topics
- Phylogeny43▲ 8.0×12 topics
- Biogeography42▲ 4.5×16 topics
- Ecosystem Services42▲ 3.0×9 topics
- Reactive Oxygen Species42▲ 2.9×13 topics
- Adolescents40▲ 3.1×7 topics
- DNA Barcoding40▲ 7.0×8 topics
- Taxonomy38▲ 8.3×9 topics
- Psychopathology38▲ 5.8×3 topics
- Academic Achievement36▲ 5.9×10 topics
- Self-Regulation36▲ 5.6×4 topics
- Visible Light34▲ 4.1×2 topics
- Anxiety Disorders34▲ 8.5×2 topics
- CO2 Reduction33▲ 4.2×2 topics
- Parenting31▲ 6.8×2 topics
- Photothermal Therapy31▲ 6.9×2 topics
- Developmental Trajectories28▲ 6.4×2 topics
- Behavioral Problems28▲ 9.5×1 topic
- Regional Planning24▲ 9.2×2 topics
Which research topics does Shanghai Normal University publish most on?
By volume in 2022–2025: Advanced Photocatalysis Techniques, Child and Adolescent Psychosocial and Emotional Development, Land Use and Ecosystem Services and Advanced biosensing and bioanalysis techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 30 works
- 2 Child and Adolescent Psychosocial and Emotional Development Clinical Psychology 28 works
- 3 Land Use and Ecosystem Services Global and Planetary Change 21 works
- 4 Advanced biosensing and bioanalysis techniques Molecular Biology 20 works
- 5 Nanoplatforms for cancer theranostics Biomedical Engineering 19 works
- 6 Advanced Nanomaterials in Catalysis Materials Chemistry 19 works
- 7 Coleoptera Taxonomy and Distribution Ecology, Evolution, Behavior and Systematics 19 works
- 8 Early Childhood Education and Development Education 18 works
- 9 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 18 works
- 10 Plant Molecular Biology Research Plant Science 17 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 Shanghai Normal University's research output changed?
Output in 2018–2022 was 18% 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 Shanghai
- Shanghai Jiao Tong University
- Tongji University
- Fudan University
- Shanghai University
- East China Normal University
- East China University of Science and Technology
- Donghua University
- University of Shanghai for Science 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.