- World rank, 2022–2025
- #2,801 of 28,054 · #5,926 all time
- Rank in China
- #705 of 3,058
- Research works
- 2.6k ▲ 110% vs 2013–17
- Citations
- 16k 6.1 per fractional work
- Top-10% rate
- 22.2% record average 16.5%
- Open access
- 30% world 28%
What is Changsha 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 |
|---|---|---|---|---|---|
| PsychologyField | #137 of 2,181 | 32.6% | 87 | #814 | |
| Social SciencesDomain | #777 of 10,521 | 30.4% | 257 | #2313 | |
| Computer ScienceField | #1,089 of 4,667 | 20.9% | 203 | #2050 | |
| Physical SciencesDomain | #3,140 of 12,888 | 18.4% | 446 | #4977 | |
| Social SciencesField | #2,750 of 6,365 | 29.2% | 95 | #4676 | |
| Health SciencesDomain | #6,163 of 11,982 | 22.2% | 79 | #13421 | |
| EngineeringField | #4,111 of 6,636 | 13.5% | 114 | #6097 | |
| Life SciencesDomain | #5,144 of 7,800 | 17.1% | 79 | #9523 | |
| Artificial IntelligenceSubfield | #1,328 of 1,884 | 21.5% | 73 | #2029 | |
| MedicineField | #7,582 of 10,443 | 22.3% | 61 | #13918 |
Each strip is that field’s whole ranked pool, with the notch where Changsha 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.
- Psychology#814 #137
- Social Sciences#2,313 #777
- Computer Science#2,050 #1,089
- Physical Sciences#4,977 #3,140
- Social Sciences#4,676 #2,750
- Health Sciences#13,421 #6,163
- Engineering#6,097 #4,111
- Life Sciences#9,523 #5,144
- Artificial Intelligence#2,029 #1,328
- Medicine#13,918 #7,582
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
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: Psychology, 3.3×. Every wedge is a field page.
- Psychology 3.3×
- Computer Science 3.0×
- Mathematics 2.3×
- Decision Sciences 1.7×
- Neuroscience 1.5×
- Physics and Astronomy 1.2×
- Arts and Humanities 1.0×
- Environmental Science 0.9×
- Engineering 0.9×
- Biochemistry, Genetics and Molecular Biology 0.9×
- Social Sciences 0.9×
- Economics, Econometrics and Finance 0.8×
- Business, Management and Accounting 0.8×
- Health Professions 0.7×
- Earth and Planetary Sciences 0.6×
- Materials Science 0.6×
- Energy 0.6×
- Nursing 0.5×
- Immunology and Microbiology 0.5×
- Chemistry 0.5×
- Chemical Engineering 0.4×
- Medicine 0.4×
- Agricultural and Biological Sciences 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Veterinary 0.2×
- Dentistry 0.0×
Who are the top researchers at Changsha Normal University?
Ranked on the composite score, Guo Xiao lead among researchers whose main affiliation is Changsha Normal University.
- 1 Guo Xiao China · #1,151,209 worldwide 5 citations · 17 works
Which keywords describe research at Changsha Normal University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Artificial Intelligence, Neural Networks, Cloud Computing, Internet of Things, Data Mining and Physical Education.
- Visual Communication Design
- Adolescent Development
- Academic Achievement
- Entanglement
- Conservation Issues
- Environmental Risk Assessment
- Teaching Evaluation
- Multimedia Teaching
- Biochar Application
- Human-Computer Interaction
- Wireless Sensor Networks
- Water Quality
- Virtual Reality
- Depression
- Well-being
- Healthcare
- Cloud Computing
- Data Mining
- Neural Networks
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Internet of Things
- Mental Health
- Convolutional Neural Networks
- Educational Technology
- Security
- Physical Education
- Online Education
- Regional Planning
- Emotion Regulation
- Multimedia Technology
- Self-Regulation
- Self-Efficacy
- Adolescents
- Anomaly Detection
- Pollution Monitoring
- Feature Selection
- Image Classification
- Digital Media Technology
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 Learning103▲ 3.5×77 topics
- Machine Learning70▲ 2.5×75 topics
- Artificial Intelligence47▲ 4.0×34 topics
- Neural Networks41▲ 3.1×34 topics
- Internet of Things30▲ 4.0×23 topics
- Data Mining28▲ 4.3×16 topics
- Mental Health28▲ 2.2×21 topics
- Cloud Computing22▲ 9.3×13 topics
- Convolutional Neural Networks19▲ 3.0×14 topics
- Healthcare18▲ 1.80×13 topics
- Educational Technology17▲ 1.64×25 topics
- Well-being16▲ 5.0×14 topics
- Security16▲ 2.9×16 topics
- Depression16▲ 2.1×16 topics
- Physical Education16▲ 15×5 topics
- Virtual Reality15▲ 3.5×10 topics
- Online Education15▲ 9.2×4 topics
- Water Quality14▲ 4.1×9 topics
- Regional Planning13▲ 20×2 topics
- Wireless Sensor Networks12▲ 3.1×14 topics
- Emotion Regulation12▲ 4.4×9 topics
- Human-Computer Interaction12▲ 8.0×6 topics
- Multimedia Technology12▲ 21×2 topics
- Biochar Application11▲ 13×2 topics
- Self-Regulation11▲ 7.3×4 topics
- Multimedia Teaching11▲ 39×1 topic
- Self-Efficacy11▲ 4.8×11 topics
- Teaching Evaluation11▲ 39×1 topic
- Adolescents11▲ 3.4×5 topics
- Environmental Risk Assessment11▲ 14×2 topics
- Anomaly Detection11▲ 4.3×4 topics
- Conservation Issues11▲ 30×1 topic
- Pollution Monitoring11▲ 30×1 topic
- Entanglement10▲ 8.2×4 topics
- Feature Selection9▲ 4.9×6 topics
- Academic Achievement8▲ 5.7×7 topics
- Image Classification8▲ 5.6×3 topics
- Adolescent Development8▲ 8.1×6 topics
- Digital Media Technology7▲ 20×1 topic
- Visual Communication Design7▲ 20×1 topic
Which research topics does Changsha Normal University publish most on?
By volume in 2022–2025: Educational Technology and Pedagogy, Educational Reforms and Innovations, Digital Media and Visual Art and Quantum Information and Cryptography.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Educational Technology and Pedagogy Artificial Intelligence 11 works
- 2 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 11 works
- 3 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 7 works
- 4 Quantum Information and Cryptography Artificial Intelligence 6 works
- 5 Anomaly Detection Techniques and Applications Artificial Intelligence 6 works
- 6 Child and Adolescent Psychosocial and Emotional Development Clinical Psychology 5 works
- 7 Computational Drug Discovery Methods Computational Theory and Mathematics 5 works
- 8 Innovative Educational Techniques Education 5 works
- 9 Ideological and Political Education Education 5 works
- 10 Impact of Technology on Adolescents Sociology and Political Science 5 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 Changsha Normal University's research output changed?
Output in 2018–2022 was 110% 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 Changsha
- Central South University
- National University of Defense Technology
- Hunan University
- Hunan Normal University
- Changsha University of Science and Technology
- Hunan Agricultural University
- Xiangya Hospital Central South University
- Second Xiangya Hospital of Central South 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.