Advanced Neural Network Applications
Advanced Neural Network Applications is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 52k research works in it since 1971. 22.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in computer vision tasks such as image recognition, object detection, and semantic segmentation. It covers various neural network architectures, model compression techniques, and their applications in fields like autonomous driving.
- Deep Learning
- Convolutional Neural Networks
- Image Recognition
- Object Detection
- Semantic Segmentation
- Neural Network Architectures
- Computer Vision
- Image Classification
- Model Compression
- Autonomous Driving
- Research works
- 52k fractional, since 1971
- In the world top 10%
- 12k per year above
- Top-10% rate
- 22.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +527% the tick is no change
Which countries lead Advanced Neural Network Applications research?
By volume, China and India publish the most (13k and 2.9k works in 2022–2025).
By volume, 2022–2025
- 1 China 13k works
- 2 India 2.9k works
- 3 United States 2.1k works
- 4 South Korea 881 works
- 5 Germany 605 works
- 6 United Kingdom 553 works
- 7 Japan 473 works
- 8 Canada 360 works
- 9 Taiwan 334 works
- 10 Australia 317 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 Advanced Neural Network Applications research?
By volume in 2022–2025, Chinese Academy of Sciences publishes the most Advanced Neural Network Applications research, followed by Tsinghua University and Shanghai Jiao Tong University.
By volume, 2022–2025
- 1 Chinese Academy of Sciences China 198 works
- 2 Tsinghua University China 187 works
- 3 Shanghai Jiao Tong University China 178 works
- 4 National University of Defense Technology China 170 works
- 5 University of Electronic Science and Technology of China China 168 works
- 6 Beihang University China 167 works
- 7 Beijing Institute of Technology China 153 works
- 8 Xidian University China 151 works
- 9 Zhejiang University China 144 works
- 10 University of Chinese Academy of Sciences China 140 works
Who are the leading researchers in Advanced Neural Network Applications?
The most-cited researchers publishing on Advanced Neural Network Applications include Andrew Zisserman, Piotr Dollár and Dragomir Anguelov.
- 1 Andrew Zisserman 25k citations
- 2 Piotr Dollár 20k citations
- 3 Dragomir Anguelov 18k citations
- 4 Kaiming He 17k citations
- 5 Li Fei-Fei 17k citations
- 6 Yoshua Bengio 17k citations
- 7 Vincent Vanhoucke 15k citations
- 8 Serge Belongie 14k citations
- 9 Xiaogang Wang 13k citations
- 10 Yangqing Jia 12k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Neural Network Applications research done?
The largest centres of Advanced Neural Network Applications research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shanghai and Fuxin.
Largest cities, 2022–2025
Where it is the local speciality
- Shanghai31.4 works8.1×
- FuxinCN · 32.1 works7.0×
Location quotient: how much more of its research is in Advanced Neural Network Applications than the world average.
Where is the best place to study Advanced Neural Network Applications?
Among universities, judged by research, Hong Kong University of Science and Technology, Xidian University and Mohamed bin Zayed University of Artificial Intelligence 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 | Hong Kong University of Science and Technology Hong Kong | 71.2 | 46.4% | 5.2× | 52 | +460.5% |
| 2 | Xidian University China | 69.8 | 29.5% | 7.8× | 151 | +1870.7% |
| 3 | Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates | 67.3 | 42.8% | 18.8× | 20 | — |
| 4 | National University of Defense Technology China | 65.1 | 19.4% | 8.3× | 170 | +798.0% |
| 5 | Tsinghua University China | 62.6 | 32.4% | 3.6× | 187 | +725.7% |
| 6 | Nanyang Technological University Singapore | 62.5 | 33.5% | 3.8× | 80 | +241.9% |
| 7 | Beihang University China | 62.1 | 24.4% | 5.8× | 167 | +865.2% |
| 8 | Northwestern Polytechnical University China | 62.1 | 31.7% | 4.6× | 139 | +2545.4% |
| 9 | University of Hong Kong Hong Kong | 61.7 | 42.7% | 2.4× | 53 | +341.0% |
| 10 | Beijing University of Posts and Telecommunications China | 60.4 | 17.1% | 7.7× | 123 | +1826.5% |
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 Advanced Neural Network Applications research growing?
Output in 2018–2022 was 527% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Neural Network Applications.
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.