Zhengzhou Normal University
In research, Zhengzhou Normal University stands highest in Computer Science (#1,858 of 4,667 worldwide), Physical Sciences (#6,424 of 12,888 worldwide) and Social Sciences (#6,192 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 4.0× its share of world research.
- World rank, 2022–2025
- #8,762 of 28,054 · #13,096 all time
- Rank in China
- #1,688 of 3,058
- Research works
- 1.1k ▲ 7% vs 2013–17
- Citations
- 7k 6.4 per fractional work
- Top-10% rate
- 13.6% record average 16.5%
- Open access
- 34% world 28%
What is Zhengzhou 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #1,858 of 4,667 | 11.0% | 70 | #2726 | |
| Physical SciencesDomain | #6,424 of 12,888 | 8.7% | 186 | #8853 | |
| Social SciencesDomain | #6,192 of 10,521 | 21.8% | 76 | #10795 |
Each strip is that field’s whole ranked pool, with the notch where Zhengzhou 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.
- Computer Science#2,726 #1,858
- Physical Sciences#8,853 #6,424
- Social Sciences#10,795 #6,192
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Zhengzhou Normal University specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 4.0× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 30.0 works4.0×
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: Computer Science, 2.9×. Every wedge is a field page.
- Computer Science 2.9×
- Materials Science 2.8×
- Energy 2.6×
- Chemical Engineering 2.2×
- Psychology 1.8×
- Chemistry 1.3×
- Earth and Planetary Sciences 1.2×
- Environmental Science 1.2×
- Business, Management and Accounting 1.1×
- Arts and Humanities 1.1×
- Agricultural and Biological Sciences 1.0×
- Nursing 1.0×
- Neuroscience 1.0×
- Mathematics 1.0×
- Physics and Astronomy 0.8×
- Social Sciences 0.8×
- Engineering 0.7×
- Economics, Econometrics and Finance 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Health Professions 0.6×
- Veterinary 0.4×
- Immunology and Microbiology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Medicine 0.2×
- Decision Sciences 0.2×
Who are the top researchers at Zhengzhou Normal University?
Ranked on the composite score, Zhijuan Jia, Weiguang Chen and Chenggang Li lead among researchers whose main affiliation is Zhengzhou Normal University.
- 1 Zhijuan Jia China · #693,495 worldwide 28 citations · 20 works
- 2 Weiguang Chen China · #778,313 worldwide 99 citations · 36 works
- 3 Chenggang Li China · #1,218,035 worldwide 39 citations · 29 works
- 4 Zheng Jin China · #1,224,652 worldwide 9 citations · 15 works
- 5 Yanan Tang China · #1,305,834 worldwide 60 citations · 23 works
- 6 Yanyan Yang China · #1,442,781 worldwide 24 citations · 21 works
- 7 Mingsheng Hu China · #1,514,504 worldwide 19 citations · 21 works
- 8 Lipeng Wang China · #1,536,239 worldwide 25 citations · 16 works
Which keywords describe research at Zhengzhou Normal University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Artificial Intelligence, Internet of Things, Data Mining, Machine Learning, Cloud Computing, Physical Education and Online Education.
- MOOCs
- Optical Modulators
- Digital Technologies
- CO2 Reduction
- Semiconducting Transition Metal Dichalcogenides
- Semiconductors
- Nanostructures
- Informal Learning
- Electrocatalysis
- Water Splitting
- Multimedia Technology
- Electronic Structure
- Big Data Analytics
- Wireless Sensor Networks
- Nanomaterials
- Teaching Evaluation
- Online Education
- Cloud Computing
- Internet of Things
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Data Mining
- Physical Education
- Multimedia Teaching
- Two-Dimensional Materials
- Graphene
- Virtual Reality
- Semiconductor
- Energy Storage
- Nanocrystals
- Regional Planning
- Self-Efficacy
- Crystal Growth
- Logistics
- Optoelectronic Devices
- Van der Waals Heterostructures
- Supply Chain
- Human-Computer Interaction
- Teacher Preparation
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 Learning44▲ 4.1×47 topics
- Machine Learning32▲ 3.1×38 topics
- Artificial Intelligence28▲ 6.5×13 topics
- Internet of Things23▲ 8.6×12 topics
- Data Mining23▲ 9.9×10 topics
- Cloud Computing19▲ 22×8 topics
- Physical Education16▲ 40×5 topics
- Online Education15▲ 26×4 topics
- Multimedia Teaching13▲ 125×1 topic
- Teaching Evaluation13▲ 125×1 topic
- Two-Dimensional Materials11▲ 16×4 topics
- Nanomaterials11▲ 3.4×14 topics
- Graphene9▲ 4.3×7 topics
- Wireless Sensor Networks8▲ 5.5×7 topics
- Virtual Reality7▲ 4.7×7 topics
- Big Data Analytics7▲ 10×2 topics
- Semiconductor7▲ 6.4×6 topics
- Electronic Structure7▲ 12×7 topics
- Energy Storage7▲ 3.2×7 topics
- Multimedia Technology7▲ 32×2 topics
- Nanocrystals7▲ 7.8×5 topics
- Water Splitting7▲ 5.8×3 topics
- Regional Planning7▲ 28×2 topics
- Electrocatalysis6▲ 7.1×5 topics
- Self-Efficacy6▲ 7.2×6 topics
- Informal Learning6▲ 14×3 topics
- Crystal Growth5▲ 6.1×5 topics
- Nanostructures5▲ 4.3×7 topics
- Logistics5▲ 10×2 topics
- Semiconductors5▲ 5.3×3 topics
- Optoelectronic Devices5▲ 18×2 topics
- Semiconducting Transition Metal Dichalcogenides5▲ 23×1 topic
- Van der Waals Heterostructures5▲ 23×1 topic
- CO2 Reduction5▲ 6.9×2 topics
- Supply Chain5▲ 7.2×3 topics
- Digital Technologies4▲ 10×3 topics
- Human-Computer Interaction4▲ 8.0×3 topics
- Optical Modulators4▲ 9.2×3 topics
- Teacher Preparation4▲ 20×2 topics
- MOOCs4▲ 14×2 topics
Which research topics does Zhengzhou Normal University publish most on?
By volume in 2022–2025: Educational Technology and Pedagogy, 2D Materials and Applications, Advanced Photocatalysis Techniques and E-commerce and Technology Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Educational Technology and Pedagogy Artificial Intelligence 13 works
- 2 2D Materials and Applications Materials Chemistry 5 works
- 3 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 4 works
- 4 E-commerce and Technology Innovations Business and International Management 4 works
- 5 Diverse Music Education Insights Music 4 works
- 6 Advanced Technologies in Various Fields Artificial Intelligence 4 works
- 7 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 4 works
- 8 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 3 works
- 9 MXene and MAX Phase Materials Materials Chemistry 3 works
- 10 Regional Development and Environment Sociology and Political Science 3 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 Zhengzhou Normal University's research output changed?
Output in 2018–2022 was 7% 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 Zhengzhou
- Zhengzhou University
- First Affiliated Hospital of Zhengzhou University
- Henan University of Technology
- Henan Agricultural University
- Zhengzhou University of Light Industry
- PLA Information Engineering University
- North China University of Water Resources and Electric Power
- Zhongyuan University of 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.