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Advanced Algorithms and Applications

Advanced Algorithms and Applications is a research topic within Control and Systems Engineering. Science Explorer counts 70k research works in it since 1952. 9.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of control systems, neural networks, and advanced algorithms in various domains such as industrial processes, environmental monitoring, networked manufacturing, and robotic systems. The research spans topics like PID control, support vector machines, fuzzy logic, genetic algorithms, wireless sensor networks, remote sensing, and Internet of Things.

  • Neural Networks
  • PID Control
  • Support Vector Machines
  • Fuzzy Logic
  • Genetic Algorithm
  • Wireless Sensor Networks
  • Remote Sensing
  • Internet of Things
  • LabVIEW
  • Robotics
Research works
70k
fractional, since 1952
In the world top 10%
6.7k
per year above
Top-10% rate
9.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+115%
the tick is no change
Largest producer
China
83% of the 10 largest, 2022-now
Advanced Algorithms and Applications

Which countries lead Advanced Algorithms and Applications research?

By volume, China and India publish the most (5.2k and 388 works in 2022-now).

By volume, 2022-now

  1. 1 China 5.2k works
  2. 2 India 388 works
  3. 3 United States 163 works
  4. 4 ?? 118 works
  5. 5 Indonesia 109 works
  6. 6 Japan 96 works
  7. 7 South Korea 58 works
  8. 8 Malaysia 57 works
  9. 9 Iraq 56 works
  10. 10 Russia 54 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: 82.6%India: 6.2%United States: 2.6%??: 1.9%6 others listed: 6.8%83%largest
China5,196 · 82.6%India388 · 6.2%United States163 · 2.6%??118 · 1.9%6 others listed430 · 6.8%

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

Which institutions lead Advanced Algorithms and Applications research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Algorithms and Applications research, followed by State Grid Corporation of China (China) and China Southern Power Grid (China).

Who are the leading researchers in Advanced Algorithms and Applications?

The most-cited researchers publishing on Advanced Algorithms and Applications include Jian Sun, Wei Huang and Xiaogang Wang.

  1. 1 Jian Sun 281k citations
  2. 2 Wei Huang China 267k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Li Fei-Fei United States 225k citations
  5. 5 Kai You Wang China 224k citations
  6. 6 Frede Blaabjerg Denmark 203k citations
  7. 7 Qiang Zhang China 184k citations
  8. 8 Han Zhang China 161k 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 Advanced Algorithms and Applications?

The most cited paper in Advanced Algorithms and Applications is "Particle swarm optimization" (Riccardo Poli, James C. Kennedy, Tim Blackwell, 2007), with 21,401 citations. Next come "Dynamic programming algorithm optimization for spoken word recognition" (6,722) and "Particle swarm optimization: developments, applications and resources" (4,324).

Most cited papers
#PaperReleasedCitations
1 Particle swarm optimization Riccardo Poli, James C. Kennedy, Tim Blackwell · Swarm Intelligence 31 Jul 2007 21,401
2 Dynamic programming algorithm optimization for spoken word recognition Hiroaki Sakoe, Seibi Chiba · IEEE Transactions on Acoustics Speech and Signal Processing Feb 1978 6,722
3 Particle swarm optimization: developments, applications and resources Eberhart, Yuhui Shi Conference paper 2001 4,324
4 Parameter selection in particle swarm optimization Yuhui Shi, Russell C. Eberhart · Lecture notes in computer science Conference paper 1998 3,541
5 Particle swarm optimization algorithm: an overview Dongshu Wang, Dapei Tan, Lei Liu · Soft Computing 17 Jan 2017 3,333
All 99 most cited papers, with filters and sorting

Where is Advanced Algorithms and Applications research done?

The largest centres of Advanced Algorithms and Applications research in 2022-now are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wuhu and Jilin City.

Largest cities, 2022-now

  1. 1 BeijingChina 809 works
  2. 2 ShanghaiChina 319 works
  3. 3 Xi'anChina 298 works
  4. 4 NanjingChina 264 works
  5. 5 WuhanChina 244 works
  6. 6 GuangzhouChina 205 works
  7. 7 HarbinChina 163 works
  8. 8 TianjinChina 147 works
  9. 9 ChengduChina 142 works
  10. 10 ShenyangChina 133 works

Where it is the local speciality

  1. WuhuCN · 31.8 works10×
  2. Jilin CityCN · 22.2 works10.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Algorithms and Applications than the world average.

See Advanced Algorithms and Applications on the map

Where is the best place to study Advanced Algorithms and Applications?

Among universities, judged by research, Jiangsu University, Northeastern University and Dalian Maritime 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.

0%10%20%mean 15.43%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityDalian Maritime Univ…Xidian UniversityNortheastern Univers…
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
1Jiangsu UniversityChina 78.222.1%7.8×37 +222.0%
2Northeastern UniversityChina 76.014.9%8.1×43 +99.5%
3Dalian Maritime UniversityChina 73.217.5%13.9×30 +77.6%
4Xidian UniversityChina 72.715.9%8.1×35 +293.8%
5China University of Mining and TechnologyChina 70.823.8%5.0×24 +20.1%
6North China Electric Power UniversityChina 70.57.4%14.2×56 +18.6%
7Southeast UniversityChina 70.214.0%4.2×36 +233.1%
8Harbin Institute of TechnologyChina 70.08.5%5.4×53 +250.7%
9South China University of TechnologyChina 69.621.4%3.9×25 +113.3%
10Harbin Engineering UniversityChina 69.38.8%16.8×51 +139.1%

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 Advanced Algorithms and Applications, country by country

Is Advanced Algorithms and Applications research growing?

Output in 2022-2025 was 115% higher than in 2018-2021, peaking in 2010. The fastest-growing topics are Advanced Algorithms and Applications.

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 Advanced Algorithms and Applications as a percentage of every work published that year, 0.055% in 2024.

still counting0.10%0.20%0.30%Advanced Algorithms and Applications0.035% in 202519801990200020102020

Fractional works of Advanced Algorithms and Applications 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%Advanced Algorithms and Applications9.8% 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.

Discussion

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