Xiangnan University
In research, Xiangnan University stands highest in Health Sciences (#4,002 of 11,982 worldwide), Physical Sciences (#4,320 of 12,888 worldwide) and Medicine (#4,692 of 10,443 worldwide), 2022–2025.
- World rank, 2022–2025
- #5,615 of 28,054 · #10,970 all time
- Rank in China
- #1,206 of 3,058
- Research works
- 2.7k ▲ 58% vs 2013–17
- Citations
- 11k 4.1 per fractional work
- Top-10% rate
- 14.8% record average 16.5%
- Open access
- 24% world 28%
What is Xiangnan 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 |
|---|---|---|---|---|---|
| Health SciencesDomain | #4,002 of 11,982 | 20.6% | 124 | #10583 | |
| Physical SciencesDomain | #4,320 of 12,888 | 11.8% | 284 | #7619 | |
| MedicineField | #4,692 of 10,443 | 19.9% | 113 | #10710 | |
| Social SciencesDomain | #6,088 of 10,521 | 15.5% | 96 | #11094 | |
| Life SciencesDomain | #5,410 of 7,800 | 15.7% | 81 | #10134 | |
| Computer ScienceField | #3,545 of 4,667 | 11.0% | 90 | #3690 | |
| EngineeringField | #5,397 of 6,636 | 11.4% | 72 | #8764 |
Each strip is that field’s whole ranked pool, with the notch where Xiangnan 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.
- Health Sciences#10,583 #4,002
- Physical Sciences#7,619 #4,320
- Medicine#10,710 #4,692
- Social Sciences#11,094 #6,088
- Life Sciences#10,134 #5,410
- Computer Science#3,690 #3,545
- Engineering#8,764 #5,397
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: Mathematics, 2.5×. Every wedge is a field page.
- Mathematics 2.5×
- Chemistry 2.3×
- Computer Science 2.0×
- Biochemistry, Genetics and Molecular Biology 1.5×
- Physics and Astronomy 1.4×
- Decision Sciences 1.4×
- Pharmacology, Toxicology and Pharmaceutics 1.4×
- Chemical Engineering 1.4×
- Materials Science 1.4×
- Immunology and Microbiology 1.2×
- Energy 1.1×
- Business, Management and Accounting 1.0×
- Economics, Econometrics and Finance 1.0×
- Medicine 1.0×
- Nursing 0.9×
- Psychology 0.8×
- Engineering 0.8×
- Environmental Science 0.7×
- Neuroscience 0.7×
- Earth and Planetary Sciences 0.7×
- Dentistry 0.6×
- Agricultural and Biological Sciences 0.6×
- Social Sciences 0.5×
- Health Professions 0.4×
- Arts and Humanities 0.3×
Who are the top researchers at Xiangnan University?
Ranked on the composite score, Bin Deng, Luda Wang and Dajun Lei lead among researchers whose main affiliation is Xiangnan University.
- 1 Bin Deng China · #468,980 worldwide 165 citations · 32 works
- 2 Luda Wang China · #565,843 worldwide 163 citations · 19 works
- 3 Dajun Lei China · #611,841 worldwide 56 citations · 15 works
- 4 Jian Li China · #734,555 worldwide 3 citations · 15 works
- 5 Yang Zhi-qin China · #736,163 worldwide 12 citations · 22 works
- 6 Mei Guo China · #1,030,675 worldwide 18 citations · 22 works
- 7 Yanli Xu China · #1,153,613 worldwide 11 citations · 16 works
- 8 Bin Deng China · #1,337,556 worldwide 24 citations · 19 works
- 9 Hui Xie China · #1,444,303 worldwide 20 citations · 20 works
- 10 Fangfang Liao China · #1,455,654 worldwide 19 citations · 18 works
Which keywords describe research at Xiangnan University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Artificial Intelligence, Internet of Things, Machine Learning, Cloud Computing, Cancer, Data Mining and Oxidative Stress.
- Upconversion Nanoparticles
- Luminescent Materials
- GPX4
- Lipid Peroxidation
- Solid-State Lighting
- Digital Technologies
- Information Systems
- Supply Chain
- Logistics
- Multimedia Technology
- Convolutional Neural Networks
- Big Data
- Teaching Evaluation
- Physical Education
- Wireless Sensor Networks
- Healthcare
- Cloud Computing
- Oxidative Stress
- Internet of Things
- Artificial Intelligence
- Deep Learning
- Machine Learning
- Cancer
- Inflammation
- Data Mining
- Online Education
- Gene Expression
- Multimedia Teaching
- Big Data Analytics
- Tumor Microenvironment
- Virtual Reality
- Anti-inflammatory
- Cell Death
- Traditional Chinese Medicine
- Cross-Border E-Commerce
- Regional Planning
- Image Classification
- Ferroptosis
- Solar Cell Efficiency
- Nanocrystal Synthesis
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 Learning60▲ 3.0×58 topics
- Artificial Intelligence41▲ 5.1×24 topics
- Machine Learning39▲ 2.1×44 topics
- Internet of Things29▲ 5.7×19 topics
- Cancer25▲ 3.2×30 topics
- Oxidative Stress24▲ 2.5×43 topics
- Inflammation20▲ 1.68×60 topics
- Cloud Computing20▲ 12×10 topics
- Data Mining20▲ 4.5×11 topics
- Healthcare14▲ 2.1×12 topics
- Online Education14▲ 12×4 topics
- Wireless Sensor Networks13▲ 4.9×14 topics
- Gene Expression13▲ 3.6×16 topics
- Physical Education12▲ 16×2 topics
- Multimedia Teaching12▲ 60×1 topic
- Teaching Evaluation12▲ 60×1 topic
- Big Data Analytics11▲ 9.0×5 topics
- Big Data11▲ 2.1×15 topics
- Tumor Microenvironment11▲ 4.2×7 topics
- Convolutional Neural Networks10▲ 2.4×12 topics
- Virtual Reality10▲ 3.4×8 topics
- Multimedia Technology10▲ 25×2 topics
- Anti-inflammatory9▲ 5.4×19 topics
- Logistics8▲ 8.9×2 topics
- Cell Death8▲ 5.8×5 topics
- Supply Chain7▲ 6.0×4 topics
- Traditional Chinese Medicine7▲ 10×5 topics
- Information Systems7▲ 6.7×3 topics
- Cross-Border E-Commerce6▲ 21×1 topic
- Digital Technologies6▲ 7.7×1 topic
- Regional Planning6▲ 15×2 topics
- Solid-State Lighting6▲ 14×2 topics
- Image Classification6▲ 6.3×2 topics
- Lipid Peroxidation6▲ 9.6×2 topics
- Ferroptosis6▲ 13×1 topic
- GPX46▲ 13×1 topic
- Solar Cell Efficiency6▲ 9.5×2 topics
- Luminescent Materials6▲ 14×2 topics
- Nanocrystal Synthesis6▲ 20×1 topic
- Upconversion Nanoparticles6▲ 20×1 topic
Which research topics does Xiangnan University publish most on?
By volume in 2022–2025: Educational Technology and Pedagogy, E-commerce and Technology Innovations, Ferroptosis and cancer prognosis and Luminescence Properties of Advanced Materials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Educational Technology and Pedagogy Artificial Intelligence 12 works
- 2 E-commerce and Technology Innovations Business and International Management 6 works
- 3 Ferroptosis and cancer prognosis Pulmonary and Respiratory Medicine 6 works
- 4 Luminescence Properties of Advanced Materials Materials Chemistry 6 works
- 5 Ideological and Political Education Education 5 works
- 6 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 5 works
- 7 IoT and Edge/Fog Computing Computer Networks and Communications 4 works
- 8 Cancer-related molecular mechanisms research Cancer Research 4 works
- 9 Stochastic processes and financial applications Finance 4 works
- 10 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 4 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 Xiangnan University's research output changed?
Output in 2018–2022 was 58% 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.
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.