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Muscle activation and electromyography studies

Muscle activation and electromyography studies is a research topic within Biomedical Engineering. Science Explorer counts 59k research works in it since 1950. 14.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis of electromyography (EMG) signal processing, including topics such as muscle fatigue, prosthetic control using EMG signals, musculoskeletal modeling, neural strategies extraction, surface EMG applications, myoelectric control systems, motor unit recruitment, sensory feedback in prosthetics, and gait analysis.

  • Electromyography
  • Muscle Fatigue
  • Prosthetic Control
  • Musculoskeletal Modeling
  • Neural Strategies
  • Surface EMG
  • Myoelectric Control
  • Motor Unit Recruitment
  • Sensory Feedback
  • Gait Analysis
Research works
59k
fractional, since 1950
In the world top 10%
8.7k
per year above
Top-10% rate
14.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+28%
the tick is no change

Which countries lead Muscle activation and electromyography studies research?

By volume, China and the United States publish the most (2k and 1.9k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2k works
  2. 2 United States 1.9k works
  3. 3 Japan 741 works
  4. 4 India 538 works
  5. 5 Italy 514 works
  6. 6 United Kingdom 423 works
  7. 7 Germany 406 works
  8. 8 Canada 382 works
  9. 9 South Korea 320 works
  10. 10 Brazil 277 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: 26.8%United States: 25.4%Japan: 9.8%India: 7.1%6 others listed: 30.8%27%largest
China2,026 · 26.8%United States1,919 · 25.4%Japan741 · 9.8%India538 · 7.1%6 others listed2,322 · 30.8%

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

Which institutions lead Muscle activation and electromyography studies research?

By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Muscle activation and electromyography studies research, followed by Chinese Academy of Sciences and Harbin Institute of Technology.

Who are the leading researchers in Muscle activation and electromyography studies?

The most-cited researchers publishing on Muscle activation and electromyography studies include Zhong Lin Wang and Luca Benini.

  1. 1 Zhong Lin Wang United States 11k citations
  2. 2 Luca Benini Italy 4.6k citations

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

Where is Muscle activation and electromyography studies research done?

The largest centres of Muscle activation and electromyography studies research in 2022–2025 are Beijing (China), Tokyo (Japan), Shanghai (China) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Genoa and Enschede.

Largest cities, 2022–2025

  1. 1 Beijing China 371 works
  2. 2 Tokyo Japan 259 works
  3. 3 Shanghai China 220 works
  4. 4 Seoul South Korea 140 works
  5. 5 London United Kingdom 119 works
  6. 6 Rome Italy 101 works
  7. 7 Hangzhou China 92 works
  8. 8 Nanjing China 90 works
  9. 9 Tianjin China 90 works
  10. 10 Shenzhen China 89 works

Where it is the local speciality

  1. GenoaIT · 52.1 works8.7×
  2. EnschedeNL · 27.2 works7.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Muscle activation and electromyography studies than the world average.

See Muscle activation and electromyography studies on the map

Where is the best place to study Muscle activation and electromyography studies?

Among universities, judged by research, University of Brescia, Scuola Superiore Sant'Anna and Universitat de Miguel Hernández d'Elx 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 16.9%fractional works in this node (log) →share in the world top 10% →University of Brescia: 12, 20.9%Scuola Superiore Sant'Anna: 25, 14.2%Universitat de Miguel Hernández d'Elx: 12, 8.9%University of Salford: 10, 12.4%Politecnico di Torino: 26, 14.8%National University of Singapore: 16, 33.1%Marche Polytechnic University: 15, 12.1%Imperial College London: 43, 15.0%Friedrich-Alexander-Universität Erlangen-Nürnberg: 25, 15.6%University of Science and Technology of China: 32, 22.0%University of BresciaScuola Superiore San…University of SalfordUniversitat de Migue…
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 University of BresciaItaly 58.820.9%7.0×12 +256.7%
2 Scuola Superiore Sant'AnnaItaly 57.414.2%25.3×25 +23.4%
3 Universitat de Miguel Hernández d'ElxSpain 54.98.9%10.3×12 +302.6%
4 University of SalfordUnited Kingdom 53.812.4%10.9×10 +123.0%
5 Politecnico di TorinoItaly 53.414.8%5.6×26 +136.2%
6 National University of SingaporeSingapore 53.233.1%1.6×16 +75.2%
7 Marche Polytechnic UniversityItaly 53.112.1%7.4×15 +198.5%
8 Imperial College LondonUnited Kingdom 52.415.0%4.7×43 +30.6%
9 Friedrich-Alexander-Universität Erlangen-NürnbergGermany 52.115.6%5.2×25 +142.2%
10 University of Science and Technology of ChinaChina 52.022.0%2.5×32 +147.8%

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 Muscle activation and electromyography studies research growing?

Output in 2018–2022 was 28% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Muscle activation and electromyography studies.

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.