Science Explorer Interactive view Map
Topic · Control and Systems Engineering

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. 1.7% 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%
1.1k
per year above
Top-10% rate
1.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-71%
the tick is no change

Which countries lead Industrial Technology and Control Systems research?

By volume, China and the United States publish the most (2.8k and 132 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.8k works
  2. 2 United States 132 works
  3. 3 India 122 works
  4. 4 Japan 102 works
  5. 5 Russia 97 works
  6. 6 ?? 52 works
  7. 7 Indonesia 47 works
  8. 8 United Kingdom 42 works
  9. 9 South Korea 39 works
  10. 10 Germany 38 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: 80.7%United States: 3.8%India: 3.5%Japan: 2.9%6 others listed: 9.1%81%largest
China2,808 · 80.7%United States132 · 3.8%India122 · 3.5%Japan102 · 2.9%6 others listed315 · 9.1%

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

Which institutions lead Industrial Technology and Control Systems research?

By volume in 2022–2025, Wuhan University of Technology publishes the most Industrial Technology and Control Systems research, followed by Beijing Institute of Technology and Beihang University.

By volume, 2022–2025

  1. 1 Wuhan University of TechnologyChina 35 works
  2. 2 Beijing Institute of TechnologyChina 34 works
  3. 3 Beihang UniversityChina 34 works
  4. 4 Harbin Institute of TechnologyChina 32 works
  5. 5 Tongji UniversityChina 32 works
  6. 6 Nanjing University of Aeronautics and AstronauticsChina 30 works
  7. 7 Dalian University of TechnologyChina 28 works
  8. 8 Northeastern UniversityChina 27 works
  9. 9 Tsinghua UniversityChina 27 works
  10. 10 Nanjing University of Science and TechnologyChina 27 works

Where is Industrial Technology and Control Systems research done?

The largest centres of Industrial Technology and Control Systems research in 2022–2025 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, 2022–2025

  1. 1 Beijing China 499 works
  2. 2 Shanghai China 185 works
  3. 3 Nanjing China 142 works
  4. 4 Xi'an China 136 works
  5. 5 Wuhan China 134 works
  6. 6 Jinan China 83 works
  7. 7 Tianjin China 82 works
  8. 8 Harbin China 80 works
  9. 9 Shenyang China 78 works
  10. 10 Hangzhou China 76 works

Where it is the local speciality

  1. WuhuCN · 21.2 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 Chongqing 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 13.22%fractional works in this node (log) →share in the world top 10% →Jiangsu University: 22, 22.7%Northeastern University: 27, 14.7%Chongqing University: 20, 21.6%Southeast University: 24, 17.6%Central South University: 25, 20.5%Nanjing University of Aeronautics and Astronautics: 30, 8.7%Wuhan University of Technology: 35, 2.5%Nanjing University of Science and Technology: 27, 8.0%Southwest Jiaotong University: 20, 13.7%University of Jinan: 27, 2.2%Jiangsu UniversityChongqing UniversitySoutheast UniversityNortheastern Univers…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Jiangsu UniversityChina 69.622.7%7.6×22 -87.4%
2 Northeastern UniversityChina 61.114.7%8.2×27 -84.3%
3 Chongqing UniversityChina 59.021.6%4.9×20 -90.2%
4 Southeast UniversityChina 58.617.6%4.8×24 -86.4%
5 Central South UniversityChina 57.620.5%4.0×25 -90.2%
6 Nanjing University of Aeronautics and AstronauticsChina 55.58.7%8.7×30 -88.0%
7 Wuhan University of TechnologyChina 53.42.5%11.4×35 -80.8%
8 Nanjing University of Science and TechnologyChina 53.08.0%8.7×27 -77.6%
9 Southwest Jiaotong UniversityChina 52.213.7%6.9×20 -85.8%
10 University of JinanChina 52.12.2%24.7×27 -31.3%

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 Industrial Technology and Control Systems research growing?

Output in 2018–2022 was 71% lower than in 2013–2017, peaking in 2011.

19801990200020102020
grewheldshrank

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.