Neural Networks Stability and Synchronization
Neural Networks Stability and Synchronization is a research topic within Computer Networks and Communications. Science Explorer counts 22k research works in it since 1955. 28.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the synchronization of complex dynamical networks, particularly addressing topics such as pinning control, global stability, time delays, impulsive control, and stochasticity in neural networks and memristor-based networks.
- Synchronization
- Complex Networks
- Dynamical Systems
- Pinning Control
- Global Stability
- Time Delays
- Neural Networks
- Impulsive Control
- Stochasticity
- Memristor-based Networks
- Research works
- 22k fractional, since 1955
- In the world top 10%
- 6.4k per year above
- Top-10% rate
- 28.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +24% the tick is no change
Which countries lead Neural Networks Stability and Synchronization research?
By volume, China and India publish the most (3.2k and 178 works in 2022–2025).
By volume, 2022–2025
- 1 China 3.2k works
- 2 India 178 works
- 3 United States 123 works
- 4 South Korea 105 works
- 5 Iran 63 works
- 6 France 56 works
- 7 Japan 48 works
- 8 Italy 48 works
- 9 United Kingdom 47 works
- 10 Australia 46 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 Neural Networks Stability and Synchronization research?
By volume in 2022–2025, Southeast University publishes the most Neural Networks Stability and Synchronization research, followed by Harbin Institute of Technology and Northeastern University.
By volume, 2022–2025
- 1 Southeast UniversityChina 90 works
- 2 Harbin Institute of TechnologyChina 79 works
- 3 Northeastern UniversityChina 79 works
- 4 Xinjiang UniversityChina 45 works
- 5 Southwest UniversityChina 44 works
- 6 Shandong University of Science and TechnologyChina 42 works
- 7 Guangdong University of TechnologyChina 39 works
- 8 Nanjing University of Posts and TelecommunicationsChina 39 works
- 9 Nanjing University of Science and TechnologyChina 39 works
- 10 Beihang UniversityChina 39 works
Who are the leading researchers in Neural Networks Stability and Synchronization?
The most-cited researchers publishing on Neural Networks Stability and Synchronization include Guanrong Chen, Peng Shi and Tasawar Hayat.
- 1 Guanrong Chen Hong Kong 5.4k citations
- 2 Peng Shi Australia 5k citations
- 3 Tasawar Hayat Pakistan 4.6k citations
- 4 Zidong Wang United Kingdom 4.4k citations
- 5 Jinde Cao China 4.2k citations
- 6 Leon O. Chua United States 4.1k citations
- 7 Frank L. Lewis United States 3.8k citations
- 8 Qing‐Long Han Australia 3.8k citations
- 9 Brian D. O. Anderson Australia 3.6k citations
- 10 C. L. Philip Chen Macau 3.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Neural Networks Stability and Synchronization research done?
The largest centres of Neural Networks Stability and Synchronization research in 2022–2025 are Beijing (China), Nanjing (China), Shanghai (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Huangshi, Jinzhou and Qufu.
Largest cities, 2022–2025
Where it is the local speciality
- HuangshiCN · 38.4 works92×
- JinzhouCN · 50.7 works47×
- QufuCN · 38.2 works46×
- Ma'anshan CityCN · 30.3 works38×
- LinyiCN · 23.7 works38×
- LiaochengCN · 23.9 works28×
- QinhuangdaoCN · 37.0 works21×
Location quotient: how much more of its research is in Neural Networks Stability and Synchronization than the world average.
Where is the best place to study Neural Networks Stability and Synchronization?
Among universities, judged by research, Southeast University, Texas A&M University at Qatar and Southwest 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 | Southeast UniversityChina | 76.0 | 38.9% | 15.7× | 90 | +55.9% |
| 2 | Texas A&M University at QatarQatar | 74.2 | 46.6% | 73.7× | 9 | +138.2% |
| 3 | Southwest UniversityChina | 72.7 | 31.3% | 18.9× | 44 | +448.1% |
| 4 | Hunan Normal UniversityChina | 71.2 | 35.0% | 27.6× | 28 | +483.0% |
| 5 | Yeungnam UniversitySouth Korea | 69.3 | 50.7% | 16.0× | 15 | +11.9% |
| 6 | Xinjiang UniversityChina | 69.0 | 37.4% | 24.2× | 45 | +85.0% |
| 7 | Shandong University of Science and TechnologyChina | 67.9 | 25.1% | 20.0× | 42 | +211.9% |
| 8 | Qingdao UniversityChina | 67.6 | 31.7% | 12.0× | 28 | +176.2% |
| 9 | Harbin Institute of TechnologyChina | 67.4 | 29.9% | 11.3× | 79 | +44.4% |
| 10 | Northeastern UniversityChina | 67.2 | 30.5% | 21.0× | 79 | +38.5% |
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 Neural Networks Stability and Synchronization research growing?
Output in 2018–2022 was 24% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Neural Networks Stability and Synchronization.
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.