Minnan Normal University
In research, Minnan Normal University stands highest in Physical Sciences (#1,539 of 10,670 worldwide), Computer Science (#782 of 4,417 worldwide) and Artificial Intelligence (#716 of 1,862 worldwide), 2022-now. Relative to its size it is most specialised in Geometry and Topology and Computational Theory and Mathematics (Geometry and Topology is 12.8× its share of world research).
- World rank, 2022-now
- #3,427 of 22,385 · #3,304 all time
- Rank in China
- #549 of 2,481
- Research works
- 3.9k ▲ 102% vs 2018-21
- Citations
- 35k 9.1 per fractional work
- Top-10% rate
- 10.3% all institutions 10.0%
- vs its own fields
- 0.88× 1.00× is exactly expected
- Open access
- 21% world 40%
- International
- 6% world 18%
What is Minnan 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 | #1,539 of 10,670 | 9.8% | 740 | #1913 | |
| Computer ScienceField | #782 of 4,417 | 12.4% | 267 | #1163 | |
| Artificial IntelligenceSubfield | #716 of 1,862 | 10.8% | 93 | #1051 | |
| EngineeringField | #2,739 of 5,901 | 8.6% | 158 | #3619 | |
| Computer Vision and Pattern RecognitionSubfield | #477 of 963 | 12.7% | 67 | #824 | |
| Materials ScienceField | #1,139 of 2,276 | 7.3% | 78 | #1485 | |
| Life SciencesDomain | #3,782 of 6,403 | 8.0% | 92 | #4891 | |
| Electrical and Electronic EngineeringSubfield | #1,441 of 2,176 | 6.5% | 73 | #1955 | |
| Social SciencesDomain | #8,186 of 9,585 | 11.1% | 104 | #9264 |
Each strip is that field's whole ranked pool, with the notch where Minnan 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#1,913 #1,539
- Computer Science#1,163 #782
- Artificial Intelligence#1,051 #716
- Engineering#3,619 #2,739
- Computer Vision and Pattern Recognition#824 #477
- Materials Science#1,485 #1,139
- Life Sciences#4,891 #3,782
- Electrical and Electronic Engineering#1,955 #1,441
- Social Sciences#9,264 #8,186
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 Minnan Normal University work in?
In 2022-now, 77% of research at Minnan Normal University is in Physical Sciences, 11% in Social Sciences. Its largest fields are Computer Science (28%), Engineering (16%), Materials Science (8%). It does 2.0× 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 25 fields, with their numbers
- Physical Sciences83276.6%
- Computer Science30428.0%
- Engineering17416.1%
- Materials Science888.1%
- Mathematics645.9%
- Physics and Astronomy494.5%
- Environmental Science484.4%
- Chemistry474.3%
- Energy322.9%
- Earth and Planetary Sciences171.6%
- Chemical Engineering100.9%
- Social Sciences11911.0%
- Social Sciences312.9%
- Psychology292.6%
- Decision Sciences181.7%
- Business, Management and Accounting171.5%
- Arts and Humanities141.3%
- Economics, Econometrics and Finance111.0%
- Life Sciences1039.5%
- Health Sciences333.0%
- Medicine272.5%
- Health Professions40.4%
- Nursing20.1%
- Veterinary00.0%
What does Minnan Normal University specialise in?
Where its research is concentrated relative to its size: Geometry and Topology takes 12.8× the share of its output that it takes of world research.
- Geometry and TopologySubfield · 22.7 works13×
- Computational Theory and MathematicsSubfield · 54.1 works12×
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, 5.0×. Every wedge is a field page.
All 25 fields, with their numbers
- Mathematics4.97×64 works
- Computer Science3.60×304 works
- Energy3.16×32 works
- Chemistry2.76×47 works
- Chemical Engineering2.59×10 works
- Materials Science2.32×88 works
- Physics and Astronomy2.02×49 works
- Decision Sciences1.72×18 works
- Engineering1.07×174 works
- Neuroscience1.04×18 works
- Earth and Planetary Sciences1.00×17 works
- Environmental Science0.88×48 works
- Psychology0.87×29 works
- Biochemistry, Genetics and Molecular Biology0.84×48 works
- Agricultural and Biological Sciences0.66×34 works
- Business, Management and Accounting0.47×17 works
- Economics, Econometrics and Finance0.46×11 works
- Arts and Humanities0.44×14 works
- Nursing0.29×2 works
- Veterinary0.23×0 works
- Social Sciences0.23×31 works
- Immunology and Microbiology0.17×2 works
- Health Professions0.15×4 works
- Medicine0.13×27 works
- Pharmacology, Toxicology and Pharmaceutics0.09×0 works
- Mathematics 5.0×
- Computer Science 3.6×
- Energy 3.2×
- Chemistry 2.8×
- Chemical Engineering 2.6×
- Materials Science 2.3×
- Physics and Astronomy 2.0×
- Decision Sciences 1.7×
- Engineering 1.1×
- Neuroscience 1.0×
- Earth and Planetary Sciences 1.0×
- Environmental Science 0.9×
- Psychology 0.9×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Agricultural and Biological Sciences 0.7×
- Business, Management and Accounting 0.5×
- Economics, Econometrics and Finance 0.5×
- Arts and Humanities 0.4×
- Nursing 0.3×
- Veterinary 0.2×
- Social Sciences 0.2×
- Immunology and Microbiology 0.2×
- Health Professions 0.1×
- Medicine 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
Who are the top researchers at Minnan Normal University?
Ranked on the quality score, Yaojin Lin, Jinkun Chen and Liping Lin lead among researchers whose main affiliation is Minnan Normal University.
- 1
Yaojin Lin
China · #293,099 worldwide 4.4k citations · 150 works
- 2
Jinkun Chen
China · #370,365 worldwide 1.3k citations · 41 works
- 3
Liping Lin
China · #389,318 worldwide 4.8k citations · 81 works
- 4
Guoping Lin
China · #399,624 worldwide 1.5k citations · 52 works
- 5
Zhixiong Cai
China · #468,623 worldwide 4.1k citations · 180 works
- 6
Zhiwei Huang
China · #497,058 worldwide 5.8k citations · 83 works
- 7
Feng Zhan
China · #502,192 worldwide 2.2k citations · 62 works
- 8
William Zhu
China · #540,327 worldwide 8.1k citations · 294 works
- 9
Feiming Li
China · #622,862 worldwide 4.1k citations · 194 works
- 10
Qingxiang Wang
China · #642,941 worldwide 8.2k citations · 325 works
Which keywords describe research at Minnan Normal University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Feature Selection, Nanomaterials, Biosensors, Metal-Organic Frameworks, Biomedical Applications, Electrochemistry and Rough Sets.
- Approximation Algorithms
- Text Classification
- Methane Storage
- Visible Light
- Molecular Structure
- Information Retrieval
- aptamers
- Electrocatalysis
- Chemical Sensors
- Bioimaging
- Self-Assembly
- Decision Analysis
- Data Mining
- Rough Sets
- Catalysis
- Graphene
- Metal-Organic Frameworks
- Feature Selection
- Biomedical Applications
- Machine Learning
- Deep Learning
- Nanomaterials
- Neural Networks
- Biosensors
- Nanoparticles
- Convolutional Neural Networks
- Electrochemistry
- Water Splitting
- Semiconductor
- Granular Computing
- Sparse Representation
- Detection
- Biomolecular Interactions
- DNA nanotechnology
- Representation Learning
- Energy Conversion
- Semi-Supervised Learning
- Image Classification
- Meta-Learning
- Unsupervised Learning
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 Learning102▲ 2.7×69 topics
- Machine Learning59▲ 1.64×56 topics
- Nanomaterials54▲ 4.8×15 topics
- Biomedical Applications49▲ 3.8×28 topics
- Neural Networks44▲ 2.6×31 topics
- Feature Selection44▲ 19×6 topics
- Biosensors41▲ 7.6×11 topics
- Metal-Organic Frameworks38▲ 8.3×5 topics
- Nanoparticles33▲ 2.4×19 topics
- Graphene33▲ 4.5×9 topics
- Convolutional Neural Networks32▲ 4.1×13 topics
- Catalysis31▲ 4.2×16 topics
- Electrochemistry30▲ 12×3 topics
- Rough Sets29▲ 90×2 topics
- Water Splitting28▲ 6.9×4 topics
- Data Mining25▲ 3.1×10 topics
- Semiconductor24▲ 6.6×7 topics
- Decision Analysis22▲ 119×1 topic
- Granular Computing22▲ 119×1 topic
- Self-Assembly22▲ 6.1×9 topics
- Sparse Representation21▲ 10×6 topics
- Bioimaging19▲ 7.6×6 topics
- Detection18▲ 6.0×5 topics
- Chemical Sensors18▲ 7.0×3 topics
- Biomolecular Interactions17▲ 13×2 topics
- Electrocatalysis17▲ 5.5×5 topics
- DNA nanotechnology17▲ 13×1 topic
- aptamers17▲ 13×1 topic
- Representation Learning16▲ 9.5×3 topics
- Information Retrieval16▲ 6.8×3 topics
- Energy Conversion16▲ 7.0×4 topics
- Molecular Structure16▲ 14×4 topics
- Semi-Supervised Learning16▲ 12×3 topics
- Visible Light15▲ 6.0×2 topics
- Image Classification15▲ 7.4×3 topics
- Methane Storage15▲ 11×2 topics
- Meta-Learning14▲ 15×2 topics
- Text Classification14▲ 8.0×2 topics
- Unsupervised Learning14▲ 8.3×3 topics
- Approximation Algorithms14▲ 17×5 topics
Which research topics does Minnan Normal University publish most on?
By volume in 2022-now: Rough Sets and Fuzzy Logic, Advanced biosensing and bioanalysis techniques, Electrochemical Analysis and Applications and Advanced Photocatalysis Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Rough Sets and Fuzzy Logic Computational Theory and Mathematics 22 works
- 2 Advanced biosensing and bioanalysis techniques Molecular Biology 17 works
- 3 Electrochemical Analysis and Applications Electrochemistry 13 works
- 4 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 13 works
- 5 Electrochemical sensors and biosensors Electrical and Electronic Engineering 13 works
- 6 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 12 works
- 7 Text and Document Classification Technologies Artificial Intelligence 12 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 12 works
- 9 Advanced Nanomaterials in Catalysis Materials Chemistry 11 works
- 10 Data Mining Algorithms and Applications Information Systems 10 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 Minnan Normal University's research output changed?
Output in 2022-2025 was 102% 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 Minnan Normal University as a percentage of every work published that year, 0.0045% in 2024.
Fractional works of Minnan 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 16.1% in 2016.
Other research institutions in Zhangzhou
- Zhangzhou Vocational and Technical College
- Zhangzhou Municipal Hospital of Fujian Province
- 175th Hospital of People's Liberation Army
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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