Emotion and Mood Recognition
Emotion and Mood Recognition is a research topic within Experimental and Cognitive Psychology. Science Explorer counts 19k research works in it since 1953. 23.5% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the recognition and analysis of emotions from various modalities such as facial expressions, physiological signals, and speech. It explores the use of deep learning, affective computing, and multimodal data for emotion recognition in applications including human-computer interaction.
- Emotion Recognition
- Multimodal Data
- Facial Expression
- Physiological Signals
- Deep Learning
- Affective Computing
- Speech Emotion
- Feature Extraction
- Database
- Human-Computer Interaction
- Research works
- 19k fractional, since 1953
- In the world top 10%
- 4.5k per year above
- Top-10% rate
- 23.5% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +113% the tick is no change
Which countries lead Emotion and Mood Recognition research?
By volume, China and India publish the most (2.2k and 1.9k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.2k works
- 2 India 1.9k works
- 3 United States 619 works
- 4 Japan 300 works
- 5 United Kingdom 201 works
- 6 South Korea 195 works
- 7 Indonesia 176 works
- 8 Germany 161 works
- 9 Italy 156 works
- 10 Canada 121 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Emotion and Mood Recognition research?
By volume in 2022–2025, SRM Institute of Science and Technology publishes the most Emotion and Mood Recognition research, followed by Amrita Vishwa Vidyapeetham and Vellore Institute of Technology University.
By volume, 2022–2025
- 1 SRM Institute of Science and TechnologyIndia 70 works
- 2 Amrita Vishwa VidyapeethamIndia 51 works
- 3 Vellore Institute of Technology UniversityIndia 48 works
- 4 Saveetha UniversityIndia 43 works
- 5 Southeast UniversityChina 38 works
- 6 Chitkara UniversityIndia 36 works
- 7 South China University of TechnologyChina 34 works
- 8 Chandigarh UniversityIndia 33 works
- 9 Delhi Technological UniversityIndia 33 works
- 10 Shanghai Jiao Tong UniversityChina 32 works
Who are the leading researchers in Emotion and Mood Recognition?
The most-cited researchers publishing on Emotion and Mood Recognition include Thomas S. Huang, Witold Pedrycz and Yu Qiao.
- 1 Thomas S. Huang United States 7.4k citations
- 2 Witold Pedrycz Canada 5.4k citations
- 3 Yu Qiao China 4.3k citations
- 4 C. L. Philip Chen Macau 3.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Emotion and Mood Recognition research done?
The largest centres of Emotion and Mood Recognition research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada, Greater Noida and Chittagong.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 43.3 works12×
- Greater NoidaIN · 44.1 works8.9×
- ChittagongBD · 25.3 works8.9×
Location quotient: how much more of its research is in Emotion and Mood Recognition than the world average.
Where is the best place to study Emotion and Mood Recognition?
Among universities, judged by research, Amrita Vishwa Vidyapeetham, University of Augsburg and Hangzhou Dianzi 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Amrita Vishwa VidyapeethamIndia | 71.9 | 26.9% | 12.1× | 51 | +1800.0% |
| 2 | University of AugsburgGermany | 68.2 | 45.7% | 10.2× | 11 | +171.5% |
| 3 | Hangzhou Dianzi UniversityChina | 64.8 | 49.7% | 7.3× | 19 | +148.4% |
| 4 | South China University of TechnologyChina | 61.1 | 42.2% | 4.0× | 34 | +541.9% |
| 5 | Multimedia UniversityMalaysia | 61.1 | 20.6% | 16.3× | 17 | +296.9% |
| 6 | SRM Institute of Science and TechnologyIndia | 60.1 | 15.6% | 10.6× | 70 | — |
| 7 | Lanzhou UniversityChina | 58.5 | 43.3% | 4.6× | 21 | +510.5% |
| 8 | Tianjin Normal UniversityChina | 57.8 | 27.8% | 12.8× | 10 | +229.8% |
| 9 | Central China Normal UniversityChina | 56.7 | 33.7% | 9.4× | 19 | — |
| 10 | Delhi Technological UniversityIndia | 56.6 | 24.9% | 15.0× | 33 | — |
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 Emotion and Mood Recognition research growing?
Output in 2018–2022 was 113% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Emotion and Mood Recognition.
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.