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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:

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
Andronicus A. Akinyelu, Fulvio Zaccagna, James T. Grist, et al.
Journal of Imaging (2022) Vol. 8, Iss. 8, pp. 205-205
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 53
Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
Maurizio Cè, Giovanni Irmici, Chiara Foschini, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 2673-2701
Open Access | Times Cited: 45
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44
Vision transformer architecture and applications in digital health: a tutorial and survey
Khalid Al-hammuri, Fayez Gebali, Awos Kanan, et al.
Visual Computing for Industry Biomedicine and Art (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 40
An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
İshak Paçal
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 3579-3597
Open Access | Times Cited: 39
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 17
A robust deep learning framework for multiclass skin cancer classification
Burhanettin Özdemir, İshak Paçal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble
Saswati Sahoo, Sushruta Mishra, Baidyanath Panda, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6930-6930
Open Access | Times Cited: 35
Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification
Nazik Alturki, Muhammad Umer, Abid Ishaq, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1767-1767
Open Access | Times Cited: 27
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: 24
Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system
Sadafossadat Tabatabaei, Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105119-105119
Closed Access | Times Cited: 24
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Hazrat Ali, Farida Mohsen, Zubair Shah
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods
Zobeda Hatif Naji Al-azzwi, Alexey Nazarov
Asian Pacific Journal of Cancer Prevention (2023) Vol. 24, Iss. 6, pp. 2141-2148
Open Access | Times Cited: 19
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
Muhammad Waqar Azeem, Shumaila Javaid, Ruhul Amin Khalil, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 850-850
Open Access | Times Cited: 19
Augmented Transformer network for MRI brain tumor segmentation
Muqing Zhang, Dongwei Liu, Qiule Sun, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101917-101917
Open Access | Times Cited: 6
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
Sergio Alejandro Holguin-García, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Role of artificial intelligence in brain tumour imaging
Ezekiel Chukwujindu, Hafsa Faiz, Sara AI-Douri, et al.
European Journal of Radiology (2024) Vol. 176, pp. 111509-111509
Closed Access | Times Cited: 5
Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments
Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 627-627
Open Access | Times Cited: 5
Basketball technical action recognition based on a combination of capsule neural network and augmented red panda optimizer
Ning Sha
Egyptian Informatics Journal (2025) Vol. 29, pp. 100603-100603
Closed Access
Transformers for Neuroimage Segmentation: Scoping Review
Maya Iratni, Ahmad Shahidan Abdullah, Mariam Aldhaheri, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e57723-e57723
Open Access
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Kambham Pratap Joshi, Vishruth B. Gowda, B D Parameshachari, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 29-29
Open Access
Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping
Erfan Zarenia, A. Far, Khosro Rezaee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hybrid ViT-CapsNet Framework for Brain Tumor Diagnosis Using Biomedical MRI
S Simran, Shiva Mehta, Vinay Kukreja, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 99-119
Open Access
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