Brain Tumor Detection and Classification
Brain Tumor Detection and Classification is a research topic within Neurology. Science Explorer counts 26k research works in it since 1953. 15.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the classification of brain tumor type and grade using various techniques such as MRI, deep learning, convolutional neural networks, feature extraction, and machine learning. The research aims to improve the accuracy and efficiency of brain tumor classification for better diagnosis and treatment.
- MRI
- Brain Tumor
- Classification
- Deep Learning
- Convolutional Neural Network
- Feature Extraction
- Machine Learning
- Image Segmentation
- Transfer Learning
- Medical Imaging
- Research works
- 26k fractional, since 1953
- In the world top 10%
- 3.9k per year above
- Top-10% rate
- 15.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +222% the tick is no change
Which countries lead Brain Tumor Detection and Classification research?
By volume, India and China publish the most (5k and 3.3k works in 2022–2025).
By volume, 2022–2025
- 1 India 5k works
- 2 China 3.3k works
- 3 United States 1.1k works
- 4 Indonesia 388 works
- 5 ?? 307 works
- 6 Bangladesh 262 works
- 7 Saudi Arabia 262 works
- 8 Türkiye 252 works
- 9 South Korea 245 works
- 10 United Kingdom 244 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 Brain Tumor Detection and Classification research?
By volume in 2022–2025, Saveetha University publishes the most Brain Tumor Detection and Classification research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.
By volume, 2022–2025
- 1 Saveetha University India 224 works
- 2 SRM Institute of Science and Technology India 201 works
- 3 Vellore Institute of Technology University India 169 works
- 4 Chitkara University India 124 works
- 5 Chandigarh University India 92 works
- 6 Koneru Lakshmaiah Education Foundation India 90 works
- 7 Amrita Vishwa Vidyapeetham India 81 works
- 8 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India 79 works
- 9 Graphic Era University India 69 works
- 10 Kalasalingam Academy of Research and Education India 59 works
Who are the leading researchers in Brain Tumor Detection and Classification?
The most-cited researchers publishing on Brain Tumor Detection and Classification include Xiangyu Zhang, John C. Morris and Luca Benini.
- 1 Xiangyu Zhang 6.9k citations
- 2 John C. Morris 5.1k citations
- 3 Luca Benini 4.6k citations
- 4 Dusit Niyato 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Brain Tumor Detection and Classification research done?
The largest centres of Brain Tumor Detection and Classification research in 2022–2025 are Chennai (India), Beijing (China), Coimbatore (India) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Guntur, Srivilliputhur and Dindigul.
Largest cities, 2022–2025
Where it is the local speciality
- Guntur28.0 works27×
- SrivilliputhurIN · 59.1 works27×
- DindigulIN · 29.1 works26×
- Coimbatore26.8 works22×
- Bengaluru20.9 works20×
- VijayawadaIN · 132.7 works20×
Location quotient: how much more of its research is in Brain Tumor Detection and Classification than the world average.
Where is the best place to study Brain Tumor Detection and Classification?
Among universities, judged by research, Vellore Institute of Technology University, Saveetha University and University of Aizu 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 | Vellore Institute of Technology University India | 70.9 | 21.9% | 12.0× | 169 | +702.4% |
| 2 | Saveetha University India | 61.4 | 14.9% | 16.4× | 224 | — |
| 3 | University of Aizu Japan | 60.9 | 49.6% | 13.6× | 8 | — |
| 4 | Kalasalingam Academy of Research and Education India | 59.9 | 12.6% | 26.7× | 59 | +629.4% |
| 5 | COMSATS University Islamabad Pakistan | 59.7 | 48.8% | 3.8× | 13 | +356.0% |
| 6 | Princess Nourah bint Abdulrahman University Saudi Arabia | 58.6 | 47.4% | 5.3× | 20 | — |
| 7 | Sathyabama Institute of Science and Technology India | 56.7 | 7.3% | 17.7× | 53 | +538.5% |
| 8 | Chitkara University India | 56.6 | 13.8% | 22.5× | 124 | — |
| 9 | SRM Institute of Science and Technology India | 56.2 | 8.7% | 16.8× | 201 | — |
| 10 | Annamalai University India | 54.9 | 10.5% | 11.7× | 33 | +212.5% |
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 Brain Tumor Detection and Classification research growing?
Output in 2018–2022 was 222% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Brain Tumor Detection and Classification.
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.