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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
Mahsa Arabahmadi, Reza Farahbakhsh, Javad Rezazadeh
Sensors (2022) Vol. 22, Iss. 5, pp. 1960-1960
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 173
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 139
A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Algorithms (2023) Vol. 16, Iss. 4, pp. 176-176
Open Access | Times Cited: 133
Using artificial intelligence to improve public health: a narrative review
David B. Olawade, Ojima J. Wada, Aanuoluwapo Clement David-Olawade, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 99
Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information
Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy
Expert Systems with Applications (2022) Vol. 213, pp. 118833-118833
Closed Access | Times Cited: 97
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1850-1850
Open Access | Times Cited: 91
A robust MRI-based brain tumor classification via a hybrid deep learning technique
Shaimaa E. Nassar, Ibrahim Yasser, Hanan M. Amer, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2403-2427
Open Access | Times Cited: 44
Brain Tumor MRI Classification Using a Novel Deep Residual and Regional CNN
Mirza Mumtaz Zahoor, Saddam Hussain Khan, Tahani Jaser Alahmadi, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1395-1395
Open Access | Times Cited: 18
Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022)
Closed Access | Times Cited: 40
Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network
S. Saravanan, Vipin Kumar, S. Velliangiri, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 39
Brain Tumor Diagnosis using Image Fusion and Deep Learning
Vivek Kumar, Kapil Joshi, Puneet Kanti, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 1658-1662
Closed Access | Times Cited: 32
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
U. Raghavendra, Anjan Gudigar, Aritra Paul, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107063-107063
Closed Access | Times Cited: 27
Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique
Saravanan Srinivasan, Prabin Selvestar Mercy Bai, Sandeep Kumar Mathivanan, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1153-1153
Open Access | Times Cited: 25
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
Wilson Bakasa, Serestina Viriri
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 138-138
Open Access | Times Cited: 24
From Pixels to Diagnoses: Deep Learning's Impact on Medical Image Processing-A Survey
Maad M. Mijwil, Abdel‐Hameed Al‐Mistarehi, Mostafa Abotaleb, et al.
Wasit Journal of Computer and Mathematics Science (2023) Vol. 2, Iss. 3, pp. 9-15
Open Access | Times Cited: 24
Brain Tumor Detection and Classification Using Transfer Learning Models
Vinod Kumar D, G. Murali, Kannan Sreerangan, et al.
(2024), pp. 1-1
Open Access | Times Cited: 10
Enhancement of brain tumor classification from MRI images using multi-path convolutional neural network with SVM classifier
Sahar Khoramipour, Mojtaba Gandomkar, Mohsen Shakiba
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106117-106117
Closed Access | Times Cited: 9
Improved Brain Tumor Segmentation and Classification in Brain MRI with FCM-SVM: A Diagnostic Approach
Samar M. Alqhtani, Toufique Ahmed Soomro, Ahmed Ali, et al.
IEEE Access (2024) Vol. 12, pp. 61312-61335
Open Access | Times Cited: 9
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
Omar Abdullah Murshed Farhan Alnaggar, Basavaraj N Jagadale, Mufeed Ahmed Naji Saif, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 8
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
Hamid Reza Saeidnia, Faezeh Firuzpour, Marcin Kozak, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1
MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net
Sanchit Vijay, Thejineaswar Guhan, Kathiravan Srinivasan, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 20
Modified Histogram Equalization for Improved CNN Medical Image Segmentation
Shoffan Saifullah, Rafał Dreżewski
Procedia Computer Science (2023) Vol. 225, pp. 3021-3030
Open Access | Times Cited: 20
CNN-based Approach for Enhancing Brain Tumor Image Classification Accuracy
Abdul Muis, Sunardi Sunardi, Anton Yudhana
International journal of engineering. Transactions B: Applications (2024) Vol. 37, Iss. 5, pp. 984-996
Open Access | Times Cited: 7
Enhanced MRI-based brain tumor classification with a novel Pix2pix generative adversarial network augmentation framework
Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Communications (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 6
Isolated Convolutional-Neural-Network-Based Deep-Feature Extraction for Brain Tumor Classification Using Shallow Classifier
Yassir Edrees Almalki, Muhammad Umair Ali, Karam Dad Kallu, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1793-1793
Open Access | Times Cited: 27
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