AI and Multimedia in Education
AI and Multimedia in Education is a research topic within Artificial Intelligence. Science Explorer counts 3.2k research works in it since 1998. 7.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the optimization of big data processing and analysis, covering topics such as big data scheduling, fractal encoding, visual tracking, wireless sensor networks, machine learning, internet of things, image compression, artificial intelligence, data mining, and parallel computing.
- Big Data Scheduling
- Fractal Encoding
- Visual Tracking
- Wireless Sensor Network
- Machine Learning
- Internet of Things
- Image Compression
- Artificial Intelligence
- Data Mining
- Parallel Computing
- Research works
- 3.2k fractional, since 1998
- In the world top 10%
- 231 per year above
- Top-10% rate
- 7.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +720% the tick is no change
Which countries lead AI and Multimedia in Education research?
By volume, China and ?? publish the most (1.5k and 31 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.5k works
- 2 ?? 31 works
- 3 India 29 works
- 4 United States 20 works
- 5 Malaysia 13 works
- 6 South Korea 13 works
- 7 Philippines 13 works
- 8 Japan 11 works
- 9 Thailand 7 works
- 10 United Kingdom 6 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead AI and Multimedia in Education research?
By volume in 2022–2025, Beijing Polytechnic publishes the most AI and Multimedia in Education research, followed by State Grid Corporation of China (China) and Nanning Normal University.
By volume, 2022–2025
- 1 Beijing Polytechnic China 14 works
- 2 State Grid Corporation of China (China) China 13 works
- 3 Nanning Normal University China 12 works
- 4 Changchun University China 11 works
- 5 Shandong Institute of Commerce & Technology China 10 works
- 6 China Southern Power Grid (China) China 10 works
- 7 Shanghai Electric (China) China 9 works
- 8 Jiaozuo University China 9 works
- 9 Chongqing Vocational Institute of Engineering China 9 works
- 10 Wuhan Business University China 8 works
Where is AI and Multimedia in Education research done?
The largest centres of AI and Multimedia in Education research in 2022–2025 are Beijing (China), Wuhan (China), Guangzhou (China) and Xi'an (China).
Where is the best place to study AI and Multimedia in Education?
Among universities, judged by research, Nanning Normal University, Jiaozuo University and Changchun University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Nanning Normal University China | 52.1 | 8.5% | 74.8× | 12 | — |
| 2 | Jiaozuo University China | 46.0 | 10.7% | 191.1× | 9 | — |
| 3 | Changchun University China | 41.4 | 6.6% | 65.2× | 11 | — |
| 4 | Beijing Polytechnic China | 20.0 | 0.0% | 222.7× | 14 | -38.9% |
| 5 | Chongqing Vocational Institute of Engineering China | 17.9 | 1.9% | 100.2× | 9 | — |
| 6 | Wuhan Business University China | 14.2 | 0.6% | 69.6× | 8 | — |
| 7 | Shandong Institute of Commerce & Technology China | 13.4 | 0.0% | 146.3× | 10 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is AI and Multimedia in Education research growing?
Output in 2018–2022 was 720% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are AI and Multimedia in Education.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.