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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. 9.8% 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%
2.2k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-7%
the tick is no change
Largest producer
China
81% of the 10 largest, 2022-now
Neural Networks Stability and Synchronization

Which countries lead Neural Networks Stability and Synchronization research?

By volume, China and India publish the most (3.6k and 226 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.6k works
  2. 2 India 226 works
  3. 3 United States 147 works
  4. 4 South Korea 114 works
  5. 5 Iran 72 works
  6. 6 France 62 works
  7. 7 United Kingdom 57 works
  8. 8 Italy 57 works
  9. 9 Japan 56 works
  10. 10 Australia 51 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.

China: 81.1%India: 5.1%United States: 3.3%South Korea: 2.6%6 others listed: 8.0%81%largest
China3,603 · 81.1%India226 · 5.1%United States147 · 3.3%South Korea114 · 2.6%6 others listed354 · 8.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Neural Networks Stability and Synchronization research?

By volume in 2022-now, Southeast University publishes the most Neural Networks Stability and Synchronization research, followed by Northeastern University and Harbin Institute of Technology.

By volume, 2022-now

  1. 1 Southeast UniversityChina 98 works
  2. 2 Northeastern UniversityChina 93 works
  3. 3 Harbin Institute of TechnologyChina 85 works
  4. 4 Xinjiang UniversityChina 51 works
  5. 5 Southwest UniversityChina 48 works
  6. 6 Shandong University of Science and TechnologyChina 46 works
  7. 7 Nanjing University of Posts and TelecommunicationsChina 44 works
  8. 8 Nanjing University of Science and TechnologyChina 43 works
  9. 9 Beihang UniversityChina 42 works
  10. 10 Guangdong University of TechnologyChina 41 works

Who are the leading researchers in Neural Networks Stability and Synchronization?

The most-cited researchers publishing on Neural Networks Stability and Synchronization include Zhong Lin Wang, Kai You Wang and Harry Eugene Stanley.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Harry Eugene Stanley United States 198k citations
  4. 4 H. Vincent Poor United States 165k citations
  5. 5 Tasawar Hayat Pakistan 135k citations
  6. 6 Josep Maria Guerrero Denmark 123k citations
  7. 7 Hao Chen China 118k citations
  8. 8 Guanrong Chen China 116k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Neural Networks Stability and Synchronization?

The most cited paper in Neural Networks Stability and Synchronization is "Consensus Problems in Networks of Agents With Switching Topology and Time-Delays" (Reza Olfati‐Saber, Richard M. Murray, 2004), with 12,915 citations. Next come "Consensus and Cooperation in Networked Multi-Agent Systems" (10,551) and "Coordination of groups of mobile autonomous agents using nearest neighbor rules" (8,471).

Most cited papers
#PaperReleasedCitations
1 Consensus Problems in Networks of Agents With Switching Topology and Time-Delays Reza Olfati‐Saber, Richard M. Murray · IEEE Transactions on Automatic Control Sep 2004 12,915
2 Consensus and Cooperation in Networked Multi-Agent Systems Reza Olfati‐Saber, J.A. Fax, Richard M. Murray · Proceedings of the IEEE 2007 10,551
3 Coordination of groups of mobile autonomous agents using nearest neighbor rules Ali Jadbabaie, Jie Lin, A. Stephen Morse · IEEE Transactions on Automatic Control Open access Jun 2003 8,471
4 Efficient Behavior of Small-World Networks Vito Latora, Massimo Marchiori · Physical Review Letters Open access 17 Oct 2001 5,255
5 Information Flow and Cooperative Control of Vehicle Formations J.A. Fax, Richard M. Murray · IEEE Transactions on Automatic Control Sep 2004 4,619
All 100 most cited papers, with filters and sorting

Where is Neural Networks Stability and Synchronization research done?

The largest centres of Neural Networks Stability and Synchronization research in 2022-now 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-now

  1. 1 BeijingChina 295 works
  2. 2 NanjingChina 287 works
  3. 3 ShanghaiChina 183 works
  4. 4 HarbinChina 172 works
  5. 5 JinanChina 147 works
  6. 6 WuhanChina 144 works
  7. 7 ChongqingChina 144 works
  8. 8 ChengduChina 130 works
  9. 9 Xi'anChina 120 works
  10. 10 GuangzhouChina 119 works

Where it is the local speciality

  1. HuangshiCN · 41.8 works87×
  2. JinzhouCN · 53.1 works43×
  3. QufuCN · 40.4 works43×
  4. LinyiCN · 25.3 works35×
  5. Ma'anshan CityCN · 31.5 works35×
  6. LiaochengCN · 25.5 works26×
  7. QinhuangdaoCN · 41.4 works21×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Neural Networks Stability and Synchronization than the world average.

See Neural Networks Stability and Synchronization on the map

Where is the best place to study Neural Networks Stability and Synchronization?

Among universities, judged by research, Bohai University, Southeast University and City University of Hong Kong 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.

0%20%40%mean 22.54%fractional works in this field (log) →share of work in the world top 10% →Changzhou UniversityBohai UniversityCity University of H…Southeast University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Bohai UniversityChina 67.127.5%56.0×24 +32.5%
2Southeast UniversityChina 66.717.0%15.4×98 -20.4%
3City University of Hong KongChina 63.220.9%8.9×22 -30.7%
4Changzhou UniversityChina 63.030.7%8.9×10 +154.3%
5Yeungnam UniversitySouth Korea 62.929.5%16.6×16 -37.7%
6Hunan UniversityChina 61.434.5%7.0×22 +1.0%
7East China University of Science and TechnologyChina 60.216.1%15.1×32 +41.0%
8Northeastern UniversityChina 60.017.8%24.2×93 -28.9%
9Liaoning University of TechnologyChina 59.219.5%92.2×29 +134.0%
10Xinjiang UniversityChina 58.811.9%27.6×51 +66.5%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Neural Networks Stability and Synchronization, country by country

Is Neural Networks Stability and Synchronization research growing?

Output in 2022-2025 was 7% lower than in 2018-2021, peaking in 2022.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Neural Networks Stability and Synchronization as a percentage of every work published that year, 0.018% in 2024.

still counting0.010%0.020%0.030%Neural Networks Stability and Synchronization0.017% in 202519801990200020102020

Fractional works of Neural Networks Stability and Synchronization over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Neural Networks Stability and Synchronization9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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