South China Normal University
In research, South China Normal University stands highest in Physical Sciences (#248 of 10,670 worldwide), Social Sciences (#389 of 9,585 worldwide) and Engineering (#381 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Experimental and Cognitive Psychology (Atomic and Molecular Physics, and Optics is 5.9× its share of world research).
- World rank, 2022-now
- #390 of 22,385 · #563 all time
- Rank in China
- #88 of 2,481
- Research works
- 28k ▲ 59% vs 2018-21
- Citations
- 376k 13.7 per fractional work
- Top-10% rate
- 13.0% all institutions 10.0%
- vs its own fields
- 1.18× 1.00× is exactly expected
- Open access
- 26% world 40%
- International
- 12% world 18%
What is South China Normal University known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #248 of 10,670 | 11.3% | 4,726 | #434 | |
| Social SciencesDomain | #389 of 9,585 | 17.8% | 1,318 | #460 | |
| EngineeringField | #381 of 5,901 | 11.0% | 1,370 | #562 | |
| Computer ScienceField | #306 of 4,417 | 9.2% | 1,148 | #505 | |
| Environmental ScienceField | #239 of 3,334 | 14.2% | 438 | #222 | |
| Health SciencesDomain | #714 of 9,902 | 18.7% | 382 | #1098 | |
| Social SciencesField | #460 of 5,988 | 18.7% | 484 | #655 | |
| PsychologyField | #165 of 2,121 | 18.2% | 458 | #246 | |
| Life SciencesDomain | #556 of 6,403 | 13.6% | 811 | #800 | |
| Electrical and Electronic EngineeringSubfield | #191 of 2,176 | 11.1% | 690 | #293 |
Each strip is that field's whole ranked pool, with the notch where South China 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#434 #248
- Social Sciences#460 #389
- Engineering#562 #381
- Computer Science#505 #306
- Environmental Science#222 #239
- Health Sciences#1,098 #714
- Social Sciences#655 #460
- Psychology#246 #165
- Life Sciences#800 #556
- Electrical and Electronic Engineering#293 #191
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does South China Normal University work in?
In 2022-now, 65% of research at South China Normal University is in Physical Sciences, 18% in Social Sciences. Its largest fields are Engineering (19%), Computer Science (16%), Materials Science (8%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences5,27564.9%
- Engineering1,52218.7%
- Computer Science1,27615.7%
- Materials Science6538.0%
- Physics and Astronomy6357.8%
- Environmental Science4956.1%
- Mathematics2182.7%
- Chemistry2012.5%
- Energy1561.9%
- Earth and Planetary Sciences781.0%
- Chemical Engineering410.5%
- Social Sciences1,50018.5%
- Social Sciences5406.7%
- Psychology5396.6%
- Business, Management and Accounting1291.6%
- Economics, Econometrics and Finance1181.5%
- Arts and Humanities911.1%
- Decision Sciences831.0%
- Life Sciences91411.2%
- Health Sciences4385.4%
- Medicine3774.6%
- Health Professions450.6%
- Nursing110.1%
- Dentistry30.0%
- Veterinary20.0%
What does South China Normal University specialise in?
Where its research is concentrated relative to its size: Atomic and Molecular Physics, and Optics takes 5.9× the share of its output that it takes of world research.
- Atomic and Molecular Physics, and OpticsSubfield · 345.0 works5.9×
- Electronic, Optical and Magnetic MaterialsSubfield · 156.6 works4.2×
- Experimental and Cognitive PsychologySubfield · 161.6 works4.2×
- Cognitive NeuroscienceSubfield · 244.4 works4.1×
- Condensed Matter PhysicsSubfield · 53.7 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: Physics and Astronomy, 3.5×. Every wedge is a field page.
All 26 fields, with their numbers
- Physics and Astronomy3.51×635 works
- Neuroscience2.48×328 works
- Materials Science2.30×653 works
- Mathematics2.28×218 works
- Psychology2.18×539 works
- Energy2.09×156 works
- Computer Science2.02×1,276 works
- Chemistry1.57×201 works
- Chemical Engineering1.45×41 works
- Engineering1.25×1,522 works
- Environmental Science1.23×495 works
- Decision Sciences1.05×82 works
- Biochemistry, Genetics and Molecular Biology0.83×358 works
- Economics, Econometrics and Finance0.68×118 works
- Earth and Planetary Sciences0.61×78 works
- Immunology and Microbiology0.53×43 works
- Social Sciences0.53×540 works
- Business, Management and Accounting0.49×129 works
- Agricultural and Biological Sciences0.46×178 works
- Arts and Humanities0.39×91 works
- Nursing0.27×11 works
- Pharmacology, Toxicology and Pharmaceutics0.26×8 works
- Medicine0.24×377 works
- Health Professions0.21×46 works
- Veterinary0.16×2 works
- Dentistry0.07×3 works
- Physics and Astronomy 3.5×
- Neuroscience 2.5×
- Materials Science 2.3×
- Mathematics 2.3×
- Psychology 2.2×
- Energy 2.1×
- Computer Science 2.0×
- Chemistry 1.6×
- Chemical Engineering 1.4×
- Engineering 1.2×
- Environmental Science 1.2×
- Decision Sciences 1.1×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Economics, Econometrics and Finance 0.7×
- Earth and Planetary Sciences 0.6×
- Immunology and Microbiology 0.5×
- Social Sciences 0.5×
- Business, Management and Accounting 0.5×
- Agricultural and Biological Sciences 0.5×
- Arts and Humanities 0.4×
- Nursing 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Medicine 0.2×
- Health Professions 0.2×
- Veterinary 0.2×
- Dentistry 0.1×
Who are the top researchers at South China Normal University?
Ranked on the quality score, Guang‐Guo Ying, Lidan Xing and Liang-Ying He lead among researchers whose main affiliation is South China Normal University.
- 1
Guang‐Guo Ying
China · #12,200 worldwide 48k citations · 605 works
- 2
Lidan Xing
China · #16,731 worldwide 13k citations · 199 works
- 3
Liang-Ying He
China · #28,435 worldwide 6.9k citations · 97 works
- 4
Minzhe Du
China · #33,017 worldwide 2.2k citations · 51 works
- 5
You‐Sheng Liu
China · #34,348 worldwide 17k citations · 243 works
- 6
Yifa Chen
China · #42,811 worldwide 13k citations · 210 works
- 7
Xianshu Wang
China · #43,864 worldwide 19k citations · 349 works
- 8
Can Guo
China · #44,245 worldwide 5.7k citations · 90 works
- 9
Changqin Huang
China · #54,776 worldwide 5.4k citations · 210 works
- 10
Weishan Li
China · #56,486 worldwide 21k citations · 509 works
Which keywords describe research at South China Normal University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Cathode Materials, Neural Networks, Energy Storage, Lithium-ion Batteries, Rechargeable Batteries, Graphene and Nanomaterials.
- Fiber Lasers
- Photonic Crystals
- Optical Modulators
- Text Classification
- Photocatalyst
- Bioimaging
- Two-Dimensional Materials
- CO2 Reduction
- Solid-State Electrolytes
- Lithium-Sulfur Batteries
- Semiconductors
- Water Splitting
- Battery Materials
- Metal-Organic Frameworks
- Catalysis
- Biosensors
- Biomedical Applications
- Energy Storage
- Cathode Materials
- Machine Learning
- Deep Learning
- Neural Networks
- Nanomaterials
- Graphene
- Lithium-ion Batteries
- Rechargeable Batteries
- Semiconductor
- Battery Technology
- Nanostructured Anodes
- Emotion Regulation
- Ionic Conductivity
- Nanostructured Cathodes
- Nonlinear Optics
- Chemical Sensors
- Visible Light
- Hydrogen Production
- Plasmonic
- Methane Storage
- Metamaterials
- Nanophotonics
Size is fractional works in 2022-now 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 Learning621▲ 2.2×83 topics
- Machine Learning349▲ 1.29×87 topics
- Neural Networks317▲ 2.5×37 topics
- Cathode Materials269▲ 8.5×3 topics
- Nanomaterials234▲ 2.8×18 topics
- Energy Storage229▲ 4.3×12 topics
- Graphene206▲ 3.8×10 topics
- Biomedical Applications197▲ 2.0×35 topics
- Lithium-ion Batteries191▲ 5.7×4 topics
- Biosensors176▲ 4.4×12 topics
- Rechargeable Batteries166▲ 7.7×2 topics
- Catalysis154▲ 2.9×27 topics
- Semiconductor139▲ 5.2×7 topics
- Metal-Organic Frameworks137▲ 4.1×6 topics
- Battery Technology126▲ 5.6×3 topics
- Battery Materials125▲ 9.3×1 topic
- Nanostructured Anodes125▲ 9.3×1 topic
- Water Splitting122▲ 4.0×4 topics
- Emotion Regulation113▲ 4.4×9 topics
- Semiconductors110▲ 4.6×5 topics
- Ionic Conductivity105▲ 9.5×2 topics
- Lithium-Sulfur Batteries103▲ 9.0×2 topics
- Nanostructured Cathodes102▲ 10×1 topic
- Solid-State Electrolytes102▲ 10×1 topic
- Nonlinear Optics97▲ 11×4 topics
- CO2 Reduction96▲ 5.5×2 topics
- Chemical Sensors93▲ 5.0×3 topics
- Two-Dimensional Materials93▲ 5.0×4 topics
- Visible Light93▲ 4.9×3 topics
- Bioimaging91▲ 5.0×6 topics
- Hydrogen Production91▲ 4.1×5 topics
- Photocatalyst83▲ 5.9×1 topic
- Plasmonic83▲ 5.9×1 topic
- Text Classification80▲ 6.0×3 topics
- Methane Storage79▲ 7.5×2 topics
- Optical Modulators78▲ 6.8×3 topics
- Metamaterials78▲ 6.7×5 topics
- Photonic Crystals78▲ 7.7×5 topics
- Nanophotonics77▲ 9.8×3 topics
- Fiber Lasers72▲ 9.5×3 topics
Which research topics does South China Normal University publish most on?
By volume in 2022-now: Advancements in Battery Materials, Advanced Battery Materials and Technologies, Advanced Photocatalysis Techniques and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advancements in Battery Materials Electrical and Electronic Engineering 125 works
- 2 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 102 works
- 3 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 83 works
- 4 Topic Modeling Artificial Intelligence 60 works
- 5 Perovskite Materials and Applications Electrical and Electronic Engineering 50 works
- 6 Advanced Battery Technologies Research Automotive Engineering 48 works
- 7 Advanced Fiber Laser Technologies Atomic and Molecular Physics, and Optics 44 works
- 8 Orbital Angular Momentum in Optics Atomic and Molecular Physics, and Optics 44 works
- 9 Online Learning and Analytics Computer Science Applications 43 works
- 10 2D Materials and Applications Materials Chemistry 42 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: 40% of research is openly available.
World: 18% is written across borders.
How has South China Normal University's research output changed?
Output in 2022-2025 was 59% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is South China Normal University as a percentage of every work published that year, 0.033% in 2024.
Fractional works of South China Normal University over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 13.7% in 2020.
Other research institutions in Guangzhou
- Sun Yat-sen University
- South China University of Technology
- Southern Medical University
- Jinan University
- Guangdong University of Technology
- South China Agricultural University
- Guangzhou Medical University
- Guangzhou University
Which institutions have research most like South China Normal University's?
Among the world's leading institutions, Shandong Normal University has the research profile closest to South China Normal University's, with both strong in Physics and Astronomy.
- 1
Shandong Normal University
China · Both strong in Physics and Astronomy, Mathematics, Computer Science 0.94 Compare
- 2
KTH Royal Institute of Technology
Sweden · Both strong in Physics and Astronomy, Computer Science, Materials Science 0.89 Compare
- 3
Central China Normal University
China · Both strong in Physics and Astronomy, Mathematics, Psychology 0.89 Compare
- 4
Massachusetts Institute of Technology
United States · Both strong in Physics and Astronomy, Mathematics, Neuroscience 0.89 Compare
- 5
Nanyang Technological University
Singapore · Both strong in Computer Science, Energy, Materials Science 0.88 Compare
Similarity is the correlation of each side's location quotients across every field it publishes in, on a log scale: 1 is the same shape of research, 0 is unrelated. It ignores size. How it is measured.
Compare South China Normal University with
- vs
University of North Carolina at Chapel Hill
- vs
Hangzhou Normal University
- vs
Commonwealth Scientific and Industrial Research Organisation
- vs
Simon Fraser University
- vs
University of Cape Town
- vs
Universitat Politècnica de Catalunya
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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