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University · Kunming · China

Yunnan Normal University

In research, Yunnan Normal University stands highest in Physical Sciences (#943 of 12,888 worldwide), Engineering (#869 of 6,636 worldwide) and Social Sciences (#2,557 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Spectroscopy, Computer Science Applications and Media Technology — Spectroscopy is 4.5× its share of world research.

World rank, 2022–2025
#1,396
of 28,054 · #2,802 all time
Rank in China
#414
of 3,058
Research works
10k
▲ 15% vs 2013–17
Citations
71k
7.0 per fractional work
Top-10% rate
18.1%
record average 16.5%
Open access
29%
world 28%

What is Yunnan Normal University known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #943 of 12,888 17.8%1,823 #2081
EngineeringField #869 of 6,636 20.7%484 #2381
Social SciencesDomain #2,557 of 10,521 18.1%429 #4143
Computer ScienceField #1,170 of 4,667 13.6%434 #1787
Materials ScienceField #622 of 2,468 15.3%204 #1679
Electrical and Electronic EngineeringSubfield #618 of 2,318 18.5%164 #1561
Environmental ScienceField #955 of 3,551 24.2%276 #1769
Materials ChemistrySubfield #460 of 1,556 16.0%136 #1231
Computer Vision and Pattern RecognitionSubfield #382 of 941 19.9%98 #1013
Agricultural and Biological SciencesField #1,400 of 3,409 31.8%141 #2058

Each strip is that field’s whole ranked pool, with the notch where Yunnan 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.

  1. Physical Sciences#2,081 #943
  2. Engineering#2,381 #869
  3. Social Sciences#4,143 #2,557
  4. Computer Science#1,787 #1,170
  5. Materials Science#1,679 #622
  6. Electrical and Electronic Engineering#1,561 #618
  7. Environmental Science#1,769 #955
  8. Materials Chemistry#1,231 #460
  9. Computer Vision and Pattern Recognition#1,013 #382
  10. Agricultural and Biological Sciences#2,058 #1,400
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Yunnan Normal University specialise in?

Where its research is concentrated relative to its size: Spectroscopy takes 4.5× the share of its output that it takes of world research.

  1. SpectroscopySubfield · 26.7 works4.5×
  2. Computer Science ApplicationsSubfield · 27.3 works4.1×
  3. Media TechnologySubfield · 33.1 works3.9×
  4. Statistics and ProbabilitySubfield · 21.5 works3.8×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 1.11× its world share, 141 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.01× its world share, 144 worksBiochemistry, Geneti…Immunology and Microbiology: 0.14× its world share, 4 worksImmunology and Micro…Neuroscience: 0.49× its world share, 21 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 1.10× its world share, 10 worksPharmacology, Toxico…Chemical Engineering: 1.29× its world share, 12 worksChemical EngineeringChemistry: 2.94× its world share, 124 worksChemistryComputer Science: 2.08× its world share, 434 worksComputer ScienceEarth and Planetary Sciences: 1.47× its world share, 62 worksEarth and Planetary …Energy: 2.73× its world share, 67 worksEnergyEngineering: 1.20× its world share, 484 worksEngineeringEnvironmental Science: 2.07× its world share, 276 worksEnvironmental ScienceMaterials Science: 2.19× its world share, 204 worksMaterials ScienceMathematics: 3.08× its world share, 97 worksMathematicsPhysics and Astronomy: 1.05× its world share, 63 worksPhysics and AstronomyDentistry: 0.02× its world share, 0 worksDentistryHealth Professions: 0.16× its world share, 12 worksHealth ProfessionsMedicine: 0.17× its world share, 88 worksMedicineNursing: 0.48× its world share, 6 worksNursingVeterinary: 0.32× its world share, 1 worksVeterinaryArts and Humanities: 0.56× its world share, 43 worksArts and HumanitiesBusiness, Management and Accounting: 0.58× its world share, 50 worksBusiness, Management…Decision Sciences: 0.94× its world share, 24 worksDecision SciencesEconomics, Econometrics and Finance: 0.65× its world share, 37 worksEconomics, Econometr…Psychology: 0.88× its world share, 72 worksPsychologySocial Sciences: 0.60× its world share, 202 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Mathematics, 3.1×. Every wedge is a field page.

Who are the top researchers at Yunnan Normal University?

Ranked on the composite score, Jing Tian, Ming Li and Guoliang Li lead among researchers whose main affiliation is Yunnan Normal University.

  1. 1 Jing Tian · #129,922 worldwide 80 citations · 32 works
  2. 2 Ming Li · #165,729 worldwide 345 citations · 44 works
  3. 3 Guoliang Li · #227,305 worldwide 203 citations · 24 works
  4. 4 Yang Yang · #284,574 worldwide 213 citations · 83 works
  5. 5 Wen‐Fu Fu · #395,190 worldwide 102 citations · 20 works
  6. 6 Liu Meng · #403,346 worldwide 0 citations · 23 works
  7. 7 Wei Gao · #428,534 worldwide 328 citations · 97 works
  8. 8 Wei Gao · #447,742 worldwide 107 citations · 20 works
  9. 9 Li Liang · #497,397 worldwide 1 citations · 22 works
  10. 10 Chengjiang Zhou · #499,671 worldwide 45 citations · 20 works
All ranked researchers at Yunnan Normal University

Which keywords describe research at Yunnan Normal University?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Remote Sensing, Machine Learning, Land Use Change, Artificial Intelligence, Climate Change, Nanomaterials and Nanocrystals.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning234▲ 2.5×79 topics
  2. Machine Learning162▲ 1.85×70 topics
  3. Remote Sensing131▲ 4.0×33 topics
  4. Climate Change118▲ 1.64×67 topics
  5. Artificial Intelligence97▲ 2.6×36 topics
  6. Neural Networks85▲ 2.0×36 topics
  7. Nanomaterials82▲ 2.9×13 topics
  8. Land Use Change72▲ 8.8×7 topics
  9. Internet of Things62▲ 2.6×25 topics
  10. Biomedical Applications58▲ 1.84×29 topics
  11. Metal-Organic Frameworks57▲ 5.1×6 topics
  12. Catalysis56▲ 3.1×23 topics
  13. Data Mining53▲ 2.6×15 topics
  14. Graphene52▲ 2.8×11 topics
  15. Nanocrystals51▲ 7.0×5 topics
  16. Urbanization50▲ 4.5×9 topics
  17. Cloud Computing48▲ 6.4×12 topics
  18. Semiconductor47▲ 5.2×7 topics
  19. Ecosystem Services47▲ 4.5×10 topics
  20. Efficiency46▲ 5.7×5 topics
  21. Biodiversity Conservation44▲ 4.4×8 topics
  22. Nanostructures41▲ 3.8×14 topics
  23. Water Quality40▲ 3.7×11 topics
  24. Water Splitting40▲ 4.0×4 topics
  25. Semiconductors39▲ 4.8×4 topics
  26. Solar Energy39▲ 4.6×5 topics
  27. Online Education39▲ 7.6×5 topics
  28. Regional Planning37▲ 19×2 topics
  29. Photovoltaics36▲ 8.2×4 topics
  30. Bioimaging35▲ 5.7×6 topics
  31. Chemical Sensors35▲ 5.5×3 topics
  32. Environmental Policy32▲ 6.0×4 topics
  33. Social-Ecological Systems31▲ 8.6×3 topics
  34. Sparse Representation31▲ 6.0×6 topics
  35. Global Impact30▲ 6.6×2 topics
  36. Human-Nature Interactions30▲ 12×1 topic
  37. Spatial Dynamics30▲ 12×1 topic
  38. Biochar Application29▲ 10×2 topics
  39. Physical Education27▲ 8.3×3 topics
  40. Methane Storage27▲ 7.8×2 topics

Which research topics does Yunnan Normal University publish most on?

By volume in 2022–2025: Land Use and Ecosystem Services, Educational Technology and Pedagogy, Educational Reforms and Innovations and Perovskite Materials and Applications.

  1. 1 Land Use and Ecosystem ServicesGlobal and Planetary Change 30 works
  2. 2 Educational Technology and PedagogyArtificial Intelligence 27 works
  3. 3 Educational Reforms and InnovationsHealth, Toxicology and Mutagenesis 26 works
  4. 4 Perovskite Materials and ApplicationsElectrical and Electronic Engineering 22 works
  5. 5 Online Learning and AnalyticsComputer Science Applications 21 works
  6. 6 Advanced Photocatalysis TechniquesRenewable Energy, Sustainability and the Environment 21 works
  7. 7 Chalcogenide Semiconductor Thin FilmsElectrical and Electronic Engineering 17 works
  8. 8 Remote Sensing in AgricultureEcology 17 works
  9. 9 Remote Sensing and Land UseAtmospheric Science 16 works
  10. 10 Ideological and Political EducationEducation 16 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.

openly available28.8%not open71.2%

World: 28% of research is openly available.

with international co-authors6.6%domestic only93.4%

World: 19% is written across borders.

How has Yunnan Normal University's research output changed?

Output in 2018–2022 was 15% higher than in 2013–2017.

1990200020102020
grewheldshrank

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 Kunming

All research institutions in Kunming

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.