Advanced Technology in Applications
Advanced Technology in Applications is a research topic within Information Systems. Science Explorer counts 2.8k research works in it since 1983. 7.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a comprehensive survey of big data mining approaches, including machine learning, cloud computing, internet of things, deep learning, semantic analysis, data processing, image recognition, FPGA implementation, and virtual reality.
- Big Data Mining
- Machine Learning
- Cloud Computing
- Internet of Things
- Deep Learning
- Semantic Analysis
- Data Processing
- Image Recognition
- FPGA Implementation
- Virtual Reality
- Research works
- 2.8k fractional, since 1983
- In the world top 10%
- 218 per year above
- Top-10% rate
- 7.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +252% the tick is no change
Which countries lead Advanced Technology in Applications research?
By volume, China and India publish the most (895 and 99 works in 2022–2025).
By volume, 2022–2025
- 1 China 895 works
- 2 India 99 works
- 3 Indonesia 48 works
- 4 United States 38 works
- 5 Malaysia 23 works
- 6 ?? 20 works
- 7 South Korea 19 works
- 8 Japan 15 works
- 9 Iraq 13 works
- 10 United Kingdom 10 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 Advanced Technology in Applications research?
By volume in 2022–2025, Shenyang Jianzhu University publishes the most Advanced Technology in Applications research, followed by State Grid Corporation of China (China) and Chongqing Vocational Institute of Engineering.
By volume, 2022–2025
- 1 Shenyang Jianzhu University China 10 works
- 2 State Grid Corporation of China (China) China 9 works
- 3 Chongqing Vocational Institute of Engineering China 7 works
- 4 China Southern Power Grid (China) China 7 works
- 5 Beijing Jiaotong University China 6 works
- 6 Wuhan University of Technology China 6 works
- 7 Shandong Institute of Commerce & Technology China 6 works
- 8 Anhui University of Finance and Economics China 6 works
- 9 Hubei University of Technology China 6 works
- 10 Shanghai Electric (China) China 6 works
Where is Advanced Technology in Applications research done?
The largest centres of Advanced Technology in Applications research in 2022–2025 are Beijing (China), Wuhan (China), Guangzhou (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenyang, Zhengzhou and Wuhan.
Largest cities, 2022–2025
Where it is the local speciality
- ShenyangCN · 29.6 works8.3×
- ZhengzhouCN · 20.4 works6.0×
- WuhanCN · 53.3 works5.3×
- JinanCN · 23.9 works4.8×
Location quotient: how much more of its research is in Advanced Technology in Applications than the world average.
Where is the best place to study Advanced Technology in Applications?
Among universities, judged by research, Shenyang Jianzhu 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Shenyang Jianzhu University China | 50.0 | 3.4% | 64.0× | 10 | -100.0% |
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 Advanced Technology in Applications research growing?
Output in 2018–2022 was 252% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Technology in Applications.
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.