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Topic · Control and Systems Engineering

Elevator Systems and Control

Elevator Systems and Control is a research topic within Control and Systems Engineering. Science Explorer counts 14k research works in it since 1950. 6.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the optimization of elevator traffic control systems, including group scheduling, energy efficiency, and simulation-based approaches. It explores the use of genetic algorithms, fuzzy logic, and IoT technology in supervisory control and addresses escalator-related injuries.

  • Elevator
  • Traffic Control
  • Group Scheduling
  • Energy Efficiency
  • Simulation
  • Genetic Algorithm
  • Fuzzy Logic
  • Escalator Injuries
  • Supervisory Control
  • IoT Technology
Research works
14k
fractional, since 1950
In the world top 10%
934
per year above
Top-10% rate
6.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-15%
the tick is no change

Which countries lead Elevator Systems and Control research?

By volume, China and India publish the most (1.3k and 148 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 India 148 works
  3. 3 United States 139 works
  4. 4 Japan 94 works
  5. 5 Germany 62 works
  6. 6 South Korea 54 works
  7. 7 Indonesia 48 works
  8. 8 ?? 35 works
  9. 9 Canada 34 works
  10. 10 United Kingdom 31 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: 67.0%India: 7.6%United States: 7.1%Japan: 4.8%6 others listed: 13.5%67%largest
China1,306 · 67.0%India148 · 7.6%United States139 · 7.1%Japan94 · 4.8%6 others listed264 · 13.5%

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

Which institutions lead Elevator Systems and Control research?

By volume in 2022–2025, Institut für Notfallmedizin Allgäu publishes the most Elevator Systems and Control research, followed by China Southern Power Grid (China) and State Grid Corporation of China (China).

By volume, 2022–2025

  1. 1 Institut für Notfallmedizin AllgäuGermany 26 works
  2. 2 China Southern Power Grid (China)China 25 works
  3. 3 State Grid Corporation of China (China)China 23 works
  4. 4 Shanghai Jiao Tong UniversityChina 21 works
  5. 5 Shanghai Electric (China)China 20 works
  6. 6 Xi'an Jiaotong UniversityChina 20 works
  7. 7 Shandong Special Equipment Inspection InstituteChina 20 works
  8. 8 Northeastern UniversityChina 18 works
  9. 9 Zhejiang UniversityChina 17 works
  10. 10 Southwest Jiaotong UniversityChina 17 works

Who are the leading researchers in Elevator Systems and Control?

The most-cited researchers publishing on Elevator Systems and Control include Fei–Yue Wang.

  1. 1 Fei–Yue Wang China 4.2k citations

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

Where is Elevator Systems and Control research done?

The largest centres of Elevator Systems and Control research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Blaichach, Jinan and Shenyang.

Largest cities, 2022–2025

  1. 1 Beijing China 189 works
  2. 2 Shanghai China 120 works
  3. 3 Guangzhou China 66 works
  4. 4 Nanjing China 65 works
  5. 5 Xi'an China 61 works
  6. 6 Wuhan China 59 works
  7. 7 Hangzhou China 57 works
  8. 8 Jinan China 56 works
  9. 9 Chengdu China 49 works
  10. 10 Tokyo Japan 46 works

Where it is the local speciality

  1. BlaichachDE · 26.5 works2250×
  2. JinanCN · 56.3 works6.0×
  3. ShenyangCN · 39.3 works5.9×
← less than its size predicts1×more →

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

See Elevator Systems and Control on the map

Where is the best place to study Elevator Systems and Control?

Among universities, judged by research, Southwest Jiaotong University, Northeastern University and Beijing Jiaotong 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 20.51%fractional works in this node (log) →share in the world top 10% →Southwest Jiaotong University: 17, 28.1%Northeastern University: 18, 28.3%Beijing Jiaotong University: 13, 17.2%Xi'an Jiaotong University: 20, 15.3%Tsinghua University: 14, 32.1%Wuhan University of Technology: 16, 9.9%Shandong Jianzhu University: 11, 9.1%Huazhong University of Science and Technology: 12, 41.8%Southeast University: 16, 13.2%Shanghai Jiao Tong University: 21, 10.1%Northeastern Univers…Southwest Jiaotong U…Beijing Jiaotong Uni…Xi'an Jiaotong Unive…
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 Southwest Jiaotong UniversityChina 58.728.1%9.3×17 -79.5%
2 Northeastern UniversityChina 56.428.3%8.5×18 -55.4%
3 Beijing Jiaotong UniversityChina 45.417.2%9.1×13 -51.3%
4 Xi'an Jiaotong UniversityChina 44.715.3%5.3×20 +1.6%
5 Tsinghua UniversityChina 43.832.1%3.1×14 -13.9%
6 Wuhan University of TechnologyChina 42.19.9%8.3×16 -37.5%
7 Shandong Jianzhu UniversityChina 40.59.1%38.0×11 -31.1%
8 Huazhong University of Science and TechnologyChina 40.441.8%3.1×12 -64.8%
9 Southeast UniversityChina 37.813.2%5.1×16 -54.5%
10 Shanghai Jiao Tong UniversityChina 34.410.1%4.1×21 -69.4%

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 Elevator Systems and Control research growing?

Output in 2018–2022 was 15% lower than in 2013–2017, peaking in 2024.

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.