Vehicle License Plate Recognition
Vehicle License Plate Recognition is a research topic within Media Technology. Science Explorer counts 16k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and application of automatic license plate recognition systems, utilizing techniques such as deep learning, convolutional neural networks, and character segmentation. The research covers various aspects including vehicle identification, real-time recognition, and integration with intelligent transportation systems.
- Automatic License Plate Recognition
- ALPR
- Vehicle Identification
- Deep Learning
- Convolutional Neural Networks
- Character Segmentation
- Intelligent Transportation System
- Real-Time Recognition
- Neural Network
- Number Plate Detection
- Research works
- 16k fractional, since 1950
- In the world top 10%
- 1.6k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +71% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Which countries lead Vehicle License Plate Recognition research?
By volume, China and India publish the most (2k and 1.7k works in 2022-now).
By volume, 2022-now
- 1
China 2k works
- 2
India 1.7k works
- 3
Indonesia 495 works
- 4
United States 245 works
- 5 ?? 146 works
- 6
Malaysia 127 works
- 7
Bangladesh 108 works
- 8
Türkiye 105 works
- 9
Iraq 92 works
- 10
South Korea 91 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 Vehicle License Plate Recognition research?
By volume in 2022-now, Saveetha University publishes the most Vehicle License Plate Recognition research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.
By volume, 2022-now
- 1
Saveetha University
India 96 works
- 2
SRM Institute of Science and Technology
India 72 works
- 3
Vellore Institute of Technology University
India 49 works
- 4
Amrita Vishwa Vidyapeetham
India 48 works
- 5
Chinese Academy of Sciences
China 43 works
- 6
Savitribai Phule Pune University
India 32 works
- 7
Beijing Jiaotong University
China 29 works
- 8
Chandigarh University
India 28 works
- 9
Telkom University
Indonesia 25 works
- 10
Chitkara University
India 24 works
Who are the leading researchers in Vehicle License Plate Recognition?
The most-cited researchers publishing on Vehicle License Plate Recognition include Yoshua Bengio, Yann LeCun and Kai You Wang.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Yann LeCun
United States 256k citations
- 3
Kai You Wang
China 224k citations
- 4
Anil Kumar Jain
United States 160k citations
- 5
Seyedali Mirjalili
Australia 154k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Vehicle License Plate Recognition research done?
The largest centres of Vehicle License Plate Recognition research in 2022-now are Beijing (China), Chennai (India), Shanghai (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Vijayawada.
Largest cities, 2022-now
Where it is the local speciality
- VijayawadaIN · 44.9 works16×
Location quotient: how much more of its research is in Vehicle License Plate Recognition than the world average.
Where is the best place to study Vehicle License Plate Recognition?
Among universities, judged by research, Nanjing University of Information Science and Technology, Saveetha University and Vellore Institute of Technology 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Vehicle License Plate Recognition, country by countryIs Vehicle License Plate Recognition research growing?
Output in 2022-2025 was 71% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Vehicle License Plate Recognition.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Vehicle License Plate Recognition as a percentage of every work published that year, 0.037% in 2024.
Fractional works of Vehicle License Plate Recognition over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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