Nanchang Institute of Science & Technology
In research, Nanchang Institute of Science & Technology stands highest in Computer Science (#1,507 of 4,667 worldwide), Physical Sciences (#4,369 of 12,888 worldwide) and Engineering (#3,639 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 4.0× its share of world research.
- World rank, 2022–2025
- #7,352 of 28,054 · #17,108 all time
- Rank in China
- #1,480 of 3,058
- Research works
- 1.4k ◆ 1% vs 2013–17
- Citations
- 6.1k 4.2 per fractional work
- Top-10% rate
- 17.1% record average 16.5%
- Open access
- 62% world 28%
What is Nanchang Institute of Science & Technology 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 | #1,507 of 4,667 | 14.8% | 98 | #3086 | |
| Physical SciencesDomain | #4,369 of 12,888 | 14.6% | 332 | #10114 | |
| EngineeringField | #3,639 of 6,636 | 15.0% | 134 | #7854 | |
| Social SciencesDomain | #7,195 of 10,521 | 26.9% | 76 | #13732 |
Each strip is that field’s whole ranked pool, with the notch where Nanchang Institute of Science & Technology 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#3,086 #1,507
- Physical Sciences#10,114 #4,369
- Engineering#7,854 #3,639
- Social Sciences#13,732 #7,195
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Nanchang Institute of Science & Technology specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 4.0× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 23.3 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, 2.8×. Every wedge is a field page.
- Computer Science 2.8×
- Energy 2.5×
- Physics and Astronomy 2.2×
- Engineering 2.0×
- Decision Sciences 1.9×
- Earth and Planetary Sciences 1.6×
- Environmental Science 1.2×
- Business, Management and Accounting 1.1×
- Economics, Econometrics and Finance 1.1×
- Materials Science 1.1×
- Mathematics 1.1×
- Psychology 0.7×
- Neuroscience 0.6×
- Chemistry 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Chemical Engineering 0.5×
- Veterinary 0.5×
- Social Sciences 0.4×
- Health Professions 0.4×
- Nursing 0.4×
- Agricultural and Biological Sciences 0.4×
- Arts and Humanities 0.3×
- Medicine 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Immunology and Microbiology 0.1×
- Dentistry 0.0×
Which keywords describe research at Nanchang Institute of Science & Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Artificial Intelligence, Machine Learning, Internet of Things, Data Mining, Cloud Computing, Neural Networks and Wireless Sensor Networks.
- Student Performance
- Ionosphere
- International Trade
- Supply Chain
- Electric Vehicles
- Visual Communication Design
- Digital Media Technology
- Smart Grid
- Energy Efficiency
- Multimedia Teaching
- Logistics
- Physical Education
- Online Education
- Multimedia Technology
- Virtual Reality
- Wireless Sensor Networks
- Renewable Energy
- Data Mining
- Internet of Things
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Neural Networks
- Cloud Computing
- Big Data
- Remote Sensing
- Human-Computer Interaction
- Healthcare
- Convolutional Neural Networks
- Big Data Analytics
- Supply Chain Management
- Teaching Evaluation
- Solar Wind
- Wavelet Transform
- Hyperspectral Imaging
- Regional Planning
- Image Classification
- Sparse Representation
- Cross-Border E-Commerce
- Magnetosphere
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 Learning69▲ 4.4×64 topics
- Machine Learning45▲ 3.0×60 topics
- Artificial Intelligence41▲ 6.6×26 topics
- Internet of Things29▲ 7.3×21 topics
- Neural Networks26▲ 3.7×30 topics
- Data Mining23▲ 6.7×14 topics
- Cloud Computing20▲ 16×11 topics
- Renewable Energy17▲ 2.5×24 topics
- Big Data16▲ 3.9×17 topics
- Wireless Sensor Networks15▲ 7.4×14 topics
- Remote Sensing14▲ 2.5×20 topics
- Virtual Reality13▲ 5.5×8 topics
- Human-Computer Interaction13▲ 16×5 topics
- Multimedia Technology12▲ 41×2 topics
- Healthcare12▲ 2.4×8 topics
- Online Education12▲ 13×3 topics
- Convolutional Neural Networks12▲ 3.5×10 topics
- Physical Education11▲ 20×3 topics
- Big Data Analytics11▲ 11×4 topics
- Logistics10▲ 14×2 topics
- Supply Chain Management10▲ 2.3×6 topics
- Multimedia Teaching10▲ 65×1 topic
- Teaching Evaluation10▲ 65×1 topic
- Energy Efficiency10▲ 2.2×24 topics
- Solar Wind9▲ 20×2 topics
- Smart Grid8▲ 4.8×9 topics
- Wavelet Transform8▲ 7.7×5 topics
- Digital Media Technology8▲ 42×1 topic
- Hyperspectral Imaging8▲ 6.1×5 topics
- Visual Communication Design8▲ 42×1 topic
- Regional Planning7▲ 20×2 topics
- Electric Vehicles7▲ 4.9×4 topics
- Image Classification6▲ 7.5×2 topics
- Supply Chain6▲ 6.1×6 topics
- Sparse Representation6▲ 6.5×6 topics
- International Trade5▲ 7.6×2 topics
- Cross-Border E-Commerce5▲ 21×1 topic
- Ionosphere5▲ 20×1 topic
- Magnetosphere5▲ 20×1 topic
- Student Performance5▲ 9.9×1 topic
Which research topics does Nanchang Institute of Science & Technology publish most on?
By volume in 2022–2025: Educational Technology and Pedagogy, Digital Media and Visual Art, E-commerce and Technology Innovations and Ionosphere and magnetosphere dynamics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Educational Technology and Pedagogy Artificial Intelligence 10 works
- 2 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 8 works
- 3 E-commerce and Technology Innovations Business and International Management 5 works
- 4 Ionosphere and magnetosphere dynamics Astronomy and Astrophysics 5 works
- 5 Innovative Educational Techniques Education 5 works
- 6 Ideological and Political Education Education 4 works
- 7 Solar and Space Plasma Dynamics Astronomy and Astrophysics 4 works
- 8 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 4 works
- 9 Advanced Battery Technologies Research Automotive Engineering 4 works
- 10 Energy Load and Power Forecasting Electrical and Electronic Engineering 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 Nanchang Institute of Science & Technology's research output changed?
Output in 2018–2022 was 1% 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 Nanchang
- Nanchang University
- Jiangxi Normal University
- East China Jiaotong University
- Nanchang Hangkong University
- Jiangxi Agricultural University
- Jiangxi University of Finance and Economics
- Jiangxi Science and Technology Normal University
- Jiangxi University of Water Resources and Electric Power
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.