Face recognition and analysis
Face recognition and analysis is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 27k research works in it since 1954. 16.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on various techniques for face recognition and analysis, including deep learning approaches, facial landmark detection, age estimation, 3D face reconstruction, facial expression analysis, and pose estimation. The papers cover topics such as metric learning, feature learning, and the application of convolutional neural networks to address challenges in face recognition.
- Face Recognition
- Facial Landmark Detection
- Deep Learning
- Age Estimation
- 3D Face Reconstruction
- Facial Expression Analysis
- Pose Estimation
- Feature Learning
- Metric Learning
- Convolutional Neural Networks
- Research works
- 27k fractional, since 1954
- In the world top 10%
- 4.4k per year above
- Top-10% rate
- 16.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +73% the tick is no change
Which countries lead Face recognition and analysis research?
By volume, China and India publish the most (2.5k and 1.9k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.5k works
- 2 India 1.9k works
- 3 United States 672 works
- 4 Indonesia 264 works
- 5 United Kingdom 244 works
- 6 Japan 234 works
- 7 South Korea 233 works
- 8 Germany 169 works
- 9 Iraq 154 works
- 10 ?? 143 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 Face recognition and analysis research?
By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Face recognition and analysis research, followed by Vellore Institute of Technology University and Saveetha University.
By volume, 2022–2025
- 1 Shanghai Jiao Tong UniversityChina 54 works
- 2 Vellore Institute of Technology UniversityIndia 51 works
- 3 Saveetha UniversityIndia 50 works
- 4 SRM Institute of Science and TechnologyIndia 50 works
- 5 University of Science and Technology of ChinaChina 46 works
- 6 Tsinghua UniversityChina 44 works
- 7 Amrita Vishwa VidyapeethamIndia 43 works
- 8 Beijing University of Posts and TelecommunicationsChina 38 works
- 9 Xidian UniversityChina 37 works
- 10 Chandigarh UniversityIndia 37 works
Who are the leading researchers in Face recognition and analysis?
The most-cited researchers publishing on Face recognition and analysis include Andrew Zisserman, Xiaogang Wang and Pietro Perona.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Xiaogang Wang Russia 13k citations
- 3 Pietro Perona United States 11k citations
- 4 Wei Liu China 9.7k citations
- 5 Luc Van Gool Switzerland 8.5k citations
- 6 Alan Yuille United States 8.4k citations
- 7 Xiaoou Tang Hong Kong 8k citations
- 8 Chen Change Loy Singapore 7.7k citations
- 9 Ming–Hsuan Yang United States 7.4k citations
- 10 Thomas S. Huang United States 7.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Face recognition and analysis research done?
The largest centres of Face recognition and analysis research in 2022–2025 are Beijing (China), Chennai (India), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada and Greater Noida.
Largest cities, 2022–2025
Where it is the local speciality
- VijayawadaIN · 45.7 works12×
- Greater NoidaIN · 59.9 works11×
Location quotient: how much more of its research is in Face recognition and analysis than the world average.
Where is the best place to study Face recognition and analysis?
Among universities, judged by research, Chongqing University of Posts and Telecommunications, Amrita Vishwa Vidyapeetham and Beijing University of Posts and Telecommunications 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 | Chongqing University of Posts and TelecommunicationsChina | 67.5 | 17.7% | 11.6× | 28 | +378.4% |
| 2 | Amrita Vishwa VidyapeethamIndia | 62.5 | 6.5% | 9.6× | 43 | +977.8% |
| 3 | Beijing University of Posts and TelecommunicationsChina | 62.3 | 16.2% | 7.3× | 38 | +414.8% |
| 4 | Xidian UniversityChina | 61.2 | 19.2% | 6.0× | 38 | +410.2% |
| 5 | Delhi Technological UniversityIndia | 60.0 | 14.8% | 9.4× | 22 | +256.0% |
| 6 | Graphic Era UniversityIndia | 58.1 | 15.0% | 10.0× | 30 | — |
| 7 | Hefei University of TechnologyChina | 56.9 | 27.3% | 4.5× | 21 | +294.6% |
| 8 | Institute of EngineeringNepal | 56.4 | 1.7% | 11.2× | 18 | +638.0% |
| 9 | Vellore Institute of Technology UniversityIndia | 55.4 | 7.1% | 6.0× | 51 | +495.8% |
| 10 | University of Science and Technology of ChinaChina | 54.9 | 18.2% | 4.5× | 46 | +125.5% |
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 Face recognition and analysis research growing?
Output in 2018–2022 was 73% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Face recognition and analysis.
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.