Advanced Computational Techniques and Applications
Advanced Computational Techniques and Applications is a research topic within Artificial Intelligence. Science Explorer counts 89k research works in it since 1950. 2.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics related to artificial intelligence, expert systems, machine learning, control systems, fault diagnosis, ontology, and spatial information. It explores applications such as wavelet analysis, bioenergy, small business strategies, and multidisciplinary design optimization. The papers also delve into topics like language, logic, fluid mechanics, and marine data services.
- Expert Systems
- Wavelet Analysis
- Machine Learning
- Ontology
- Control Systems
- Fault Diagnosis
- Semantic Knowledge Base
- Spatial Information
- Data Integration
- Intelligent Systems
- Research works
- 89k fractional, since 1950
- In the world top 10%
- 2k per year above
- Top-10% rate
- 2.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -69% the tick is no change
Which countries lead Advanced Computational Techniques and Applications research?
By volume, China and the United States publish the most (2.7k and 251 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.7k works
- 2 United States 251 works
- 3 India 178 works
- 4 Russia 126 works
- 5 Indonesia 91 works
- 6 ?? 70 works
- 7 Japan 57 works
- 8 Germany 41 works
- 9 United Kingdom 40 works
- 10 Ukraine 39 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 Computational Techniques and Applications research?
By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Advanced Computational Techniques and Applications research, followed by China Southern Power Grid (China) and Shanghai Electric (China).
By volume, 2022–2025
- 1 State Grid Corporation of China (China)China 79 works
- 2 China Southern Power Grid (China)China 54 works
- 3 Shanghai Electric (China)China 47 works
- 4 NARI Group (China)China 40 works
- 5 North China Electric Power UniversityChina 32 works
- 6 National University of Defense TechnologyChina 24 works
- 7 Beihang UniversityChina 19 works
- 8 Chinese Academy of SciencesChina 18 works
- 9 Beijing University of Posts and TelecommunicationsChina 18 works
- 10 Beijing Institute of TechnologyChina 18 works
Who are the leading researchers in Advanced Computational Techniques and Applications?
The most-cited researchers publishing on Advanced Computational Techniques and Applications include Wei Liu and Witold Pedrycz.
- 1 Wei Liu China 9.7k citations
- 2 Witold Pedrycz Canada 5.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Computational Techniques and Applications research done?
The largest centres of Advanced Computational Techniques and Applications research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Hohhot.
Largest cities, 2022–2025
Where it is the local speciality
- HohhotCN · 24.5 works7.7×
Location quotient: how much more of its research is in Advanced Computational Techniques and Applications than the world average.
Where is the best place to study Advanced Computational Techniques and Applications?
Among universities, judged by research, China University of Geosciences, Wuhan University and North China Electric Power 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 | China University of GeosciencesChina | 50.2 | 14.7% | 8.1× | 15 | -89.8% |
| 2 | Wuhan UniversityChina | 45.3 | 25.5% | 3.3× | 16 | -84.2% |
| 3 | North China Electric Power UniversityChina | 45.2 | 4.7% | 12.1× | 32 | -80.3% |
| 4 | National University of Defense TechnologyChina | 43.0 | 12.6% | 7.9× | 24 | -78.6% |
| 5 | Beihang UniversityChina | 42.9 | 19.6% | 4.4× | 19 | -81.3% |
| 6 | Shanghai Maritime UniversityChina | 40.8 | 5.0% | 16.9× | 17 | -82.6% |
| 7 | Chongqing University of Posts and TelecommunicationsChina | 39.7 | 11.4% | 8.7× | 10 | -86.5% |
| 8 | Huazhong University of Science and TechnologyChina | 39.6 | 28.4% | 1.7× | 11 | -85.1% |
| 9 | Hohai UniversityChina | 38.8 | 9.6% | 6.8× | 15 | -87.5% |
| 10 | Tsinghua UniversityChina | 38.1 | 20.4% | 2.0× | 16 | -81.3% |
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 Computational Techniques and Applications research growing?
Output in 2018–2022 was 69% lower than in 2013–2017, peaking in 2009.
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.