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Industrial Technology and Control Systems

Industrial Technology and Control Systems is a research topic within Control and Systems Engineering. Science Explorer counts 67k research works in it since 1950. 9.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of intelligent control systems for various industrial processes, including kiln operation, hydraulic systems, and product design. It encompasses topics such as neural networks, virtual prototyping, knowledge management, and simulation technology to optimize process control and decision-making in complex manufacturing environments.

  • Neural Network
  • Control System
  • Virtual Prototyping
  • Knowledge Management
  • Simulation Technology
  • Fuzzy Control
  • Multi-agent Systems
  • Hydraulic System Modeling
  • Predictive Model
  • Ontology-based Modeling
Research works
67k
fractional, since 1950
In the world top 10%
6.3k
per year above
Top-10% rate
9.5%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+77%
the tick is no change
Largest producer
China
81% of the 10 largest, 2022-now
Industrial Technology and Control Systems

Which countries lead Industrial Technology and Control Systems research?

By volume, China and the United States publish the most (2.9k and 134 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.9k works
  2. 2 United States 134 works
  3. 3 India 126 works
  4. 4 Japan 103 works
  5. 5 Russia 98 works
  6. 6 ?? 53 works
  7. 7 Indonesia 47 works
  8. 8 United Kingdom 42 works
  9. 9 South Korea 39 works
  10. 10 Germany 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.

China: 80.8%United States: 3.8%India: 3.5%Japan: 2.9%6 others listed: 9.0%81%largest
China2,869 · 80.8%United States134 · 3.8%India126 · 3.5%Japan103 · 2.9%6 others listed318 · 9.0%

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

Which institutions lead Industrial Technology and Control Systems research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Industrial Technology and Control Systems research, followed by Wuhan University of Technology and Beihang University.

Who are the leading researchers in Industrial Technology and Control Systems?

The most-cited researchers publishing on Industrial Technology and Control Systems include Li Fei-Fei, Kai You Wang and Frede Blaabjerg.

  1. 1 Li Fei-Fei United States 225k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Frede Blaabjerg Denmark 203k citations
  4. 4 Hua Zhang Singapore 196k citations
  5. 5 Qiang Zhang China 184k citations
  6. 6 Kalyanmoy Deb United States 171k citations
  7. 7 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 Industrial Technology and Control Systems?

The most cited paper in Industrial Technology and Control Systems is "The self-organizing map" (Teuvo Kohonen, 1998), with 1,990 citations. Next come "An introductory survey of fuzzy control" (1,184) and "On the usage of differential evolution for function optimization" (1,102).

Most cited papers
#PaperReleasedCitations
1 The self-organizing map Teuvo Kohonen · Neurocomputing Nov 1998 1,990
2 An introductory survey of fuzzy control Michio Sugeno · Information Sciences Jul 1985 1,184
3 On the usage of differential evolution for function optimization Rainer Storn Conference paper 23 Dec 2002 1,102
4 An optimizing BP neural network algorithm based on genetic algorithm Shifei Ding, Chunyang Su, Junzhao Yu · Artificial Intelligence Review 17 Feb 2011 809
5 Brief Introduction of Back Propagation (BP) Neural Network Algorithm and Its Improvement Jing Li, Jihang Cheng, Jingyuan Shi et al. · Advances in intelligent and soft computing Book chapter 2012 699
All 100 most cited papers, with filters and sorting

Where is Industrial Technology and Control Systems research done?

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

Largest cities, 2022-now

  1. 1 BeijingChina 506 works
  2. 2 ShanghaiChina 187 works
  3. 3 NanjingChina 145 works
  4. 4 Xi'anChina 137 works
  5. 5 WuhanChina 137 works
  6. 6 JinanChina 85 works
  7. 7 TianjinChina 83 works
  8. 8 HarbinChina 81 works
  9. 9 ShenyangChina 79 works
  10. 10 HangzhouChina 77 works

Where it is the local speciality

  1. WuhuCN · 21.3 works12×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Industrial Technology and Control Systems than the world average.

See Industrial Technology and Control Systems on the map

Where is the best place to study Industrial Technology and Control Systems?

Among universities, judged by research, Jiangsu University, Northeastern University and Central South 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%20%40%mean 23.91%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityCentral South Univer…Southeast 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 84.534.2%8.0×22 +217.3%
2Northeastern UniversityChina 84.219.7%9.5×29 +101.0%
3Central South UniversityChina 81.027.9%3.8×25 +133.1%
4Southeast UniversityChina 77.021.9%4.8×24 +438.6%
5Harbin Institute of TechnologyChina 76.816.1%5.9×33 +148.5%
6Zhejiang UniversityChina 76.420.5%2.8×26 +122.3%
7Chongqing UniversityChina 75.825.5%5.5×20 +67.9%
8Yanshan UniversityChina 75.728.5%14.4×17 +79.1%
9Beijing Institute of TechnologyChina 75.310.1%8.4×34 +87.5%
10China University of Mining and TechnologyChina 73.134.7%5.8×15 +13.0%

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 Industrial Technology and Control Systems, country by country

Is Industrial Technology and Control Systems research growing?

Output in 2022-2025 was 77% higher than in 2018-2021, peaking in 2011. The fastest-growing topics are Industrial Technology and Control Systems.

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 Industrial Technology and Control Systems as a percentage of every work published that year, 0.029% in 2024.

still counting0.10%0.20%0.30%Industrial Technology and Control Systems0.020% in 202519801990200020102020

Fractional works of Industrial Technology and Control Systems 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%Industrial Technology and Control Systems10.1% 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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