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Topic · Neurology

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. 9.9% 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%
2.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+226%
the tick is no change
Largest producer
India
44% of the 10 largest, 2022-now
Brain Tumor Detection and Classification

Which countries lead Brain Tumor Detection and Classification research?

By volume, India and China publish the most (5.6k and 3.6k works in 2022-now).

By volume, 2022-now

  1. 1 India 5.6k works
  2. 2 China 3.6k works
  3. 3 United States 1.2k works
  4. 4 Indonesia 416 works
  5. 5 ?? 325 works
  6. 6 Bangladesh 293 works
  7. 7 Saudi Arabia 291 works
  8. 8 Türkiye 286 works
  9. 9 Iraq 267 works
  10. 10 United Kingdom 264 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.

India: 44.4%China: 29.0%United States: 9.6%Indonesia: 3.3%6 others listed: 13.7%44%largest
India5,578 · 44.4%China3,642 · 29.0%United States1,209 · 9.6%Indonesia416 · 3.3%6 others listed1,728 · 13.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Brain Tumor Detection and Classification research?

By volume in 2022-now, SRM Institute of Science and Technology publishes the most Brain Tumor Detection and Classification research, followed by Saveetha University and Vellore Institute of Technology University.

By volume, 2022-now

  1. 1 SRM Institute of Science and TechnologyIndia 260 works
  2. 2 Saveetha UniversityIndia 246 works
  3. 3 Vellore Institute of Technology UniversityIndia 188 works
  4. 4 Chitkara UniversityIndia 129 works
  5. 5 Chandigarh UniversityIndia 102 works
  6. 6 Koneru Lakshmaiah Education FoundationIndia 99 works
  7. 7 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and TechnologyIndia 89 works
  8. 8 Amrita Vishwa VidyapeethamIndia 88 works
  9. 9 Chinese Academy of SciencesChina 85 works
  10. 10 Graphic Era UniversityIndia 74 works

Who are the leading researchers in Brain Tumor Detection and Classification?

The most-cited researchers publishing on Brain Tumor Detection and Classification include Yoshua Bengio, Xiangyu Zhang and John Q. Trojanowski.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Xiangyu Zhang 327k citations
  3. 3 John Q. Trojanowski United States 286k citations
  4. 4 Xiaogang Wang China 260k citations
  5. 5 Andrew Zisserman United Kingdom 255k citations
  6. 6 Kaj Blennow Sweden 247k citations
  7. 7 John C. Morris United States 241k citations
  8. 8 Tien Yin Wong Singapore 237k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Brain Tumor Detection and Classification?

The most cited paper in Brain Tumor Detection and Classification is "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design" (Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng et al., 2018), with 6,903 citations. Next come "The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)" (6,843) and "Brain tumor segmentation with Deep Neural Networks" (3,312).

Most cited papers
#PaperReleasedCitations
1 ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng et al. · Lecture notes in computer science Conference paper 2018 6,903
2 The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Bjoern H. Menze et al. · IEEE Transactions on Medical Imaging Open access 4 Dec 2014 6,843
3 Brain tumor segmentation with Deep Neural Networks Mohammad Havaei, Axel Davy, David Warde-Farley et al. · Medical Image Analysis Open access 21 May 2016 3,312
4 A Comprehensive Survey on Graph Neural Networks Wu, Z, Pan, S, Chen, F et al. · UTS ePRESS (University of Technology Sydney) Open access 24 Mar 2020 3,301
5 Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images Sérgio Pereira, Adriano B. Pinto, Victor Alves et al. · IEEE Transactions on Medical Imaging 4 Mar 2016 2,750
All 100 most cited papers, with filters and sorting

Where is Brain Tumor Detection and Classification research done?

The largest centres of Brain Tumor Detection and Classification research in 2022-now 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 Kanniyākumāri, Guntur and Srivilliputhur.

Largest cities, 2022-now

  1. 1 ChennaiIndia 933 works
  2. 2 BeijingChina 500 works
  3. 3 CoimbatoreIndia 281 works
  4. 4 BengaluruIndia 264 works
  5. 5 ShanghaiChina 253 works
  6. 6 VelloreIndia 194 works
  7. 7 PuneIndia 183 works
  8. 8 HyderabadIndia 179 works
  9. 9 DhakaBangladesh 179 works
  10. 10 NanjingChina 162 works

Where it is the local speciality

  1. KanniyākumāriIN · 20.8 works32×
  2. Guntur29.2 works28×
  3. SrivilliputhurIN · 63.1 works26×
  4. DindigulIN · 30.9 works24×
  5. Coimbatore27.7 works21×
  6. VijayawadaIN · 149.0 works21×
  7. Bengaluru21.3 works20×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Brain Tumor Detection and Classification than the world average.

See Brain Tumor Detection and Classification on the map

Where is the best place to study Brain Tumor Detection and Classification?

Among universities, judged by research, Princess Nourah bint Abdulrahman University, Saveetha University and Vellore Institute of Technology University score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 30.18%fractional works in this field (log) →share of work in the world top 10% →Princess Nourah bint…COMSATS University I…Vellore Institute of…Saveetha University
above the meannear itbelow it

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.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Princess Nourah bint Abdulrahman UniversitySaudi Arabia 66.735.1%6.2×22 +616.1%
2Saveetha UniversityIndia 61.410.5%18.7×246 +1865.6%
3Vellore Institute of Technology UniversityIndia 60.013.3%13.9×188 +416.6%
4COMSATS University IslamabadPakistan 59.733.9%4.0×13 +33.8%
5King Saud UniversitySaudi Arabia 59.129.0%2.2×30 +204.9%
6Prince Sultan UniversitySaudi Arabia 58.128.0%7.0×11 +371.0%
7Prince Sattam Bin Abdulaziz UniversitySaudi Arabia 58.028.4%5.0×18 +794.8%
8Kaunas University of TechnologyLithuania 57.845.3%6.5×9 -
9Gachon UniversitySouth Korea 57.044.0%3.8×13 +219.8%
10Taif UniversitySaudi Arabia 56.934.3%3.7×11 +502.8%

Universities only. The score blends citation 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 Brain Tumor Detection and Classification, country by country

Is Brain Tumor Detection and Classification research growing?

Output in 2022-2025 was 226% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Brain Tumor Detection and Classification.

still counting19801990200020102020
grewheldshrank

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 Brain Tumor Detection and Classification as a percentage of every work published that year, 0.093% in 2024.

still counting0.050%0.10%Brain Tumor Detection and Classification0.088% in 202519801990200020102020

Fractional works of Brain Tumor Detection and Classification 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.

still counting5%10%15%Brain Tumor Detection and Classification9.8% in 202520102020

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.

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