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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:

A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Brain Glial Cell Tumor Classification through Ensemble Deep Learning with APCGAN Augmentation
T. Deepa, Ch. D. V. Subba Rao
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Ensemble deep learning for brain tumor detection
Shtwai Alsubai, Habib Ullah Khan, Abdullah Alqahtani, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 60
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
Classification and Segmentation of Diabetic Retinopathy: A Systemic Review
Natasha Shaukat, Javeria Amin, Muhammad Imran Sharif, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3108-3108
Open Access | Times Cited: 21
Brain Tumor Detection for Efficient Adaptation and Superior Diagnostic Precision by Utilizing MBConv-Finetuned-B0 and Advanced Deep Learning
P. Kavitha, D. Dhinakaran, G. Prabaharan, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 632-644
Open Access | Times Cited: 9
Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform
B. V. Prakash, A. Rajiv Kannan, N. Santhiyakumari, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization
Javeria Amin, Muhammad Almas Anjum, Abraz Ahmad, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1744-e1744
Open Access | Times Cited: 5
Review of medical image processing using quantum-enabled algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 5
An attention-fused architecture for brain tumor diagnosis
Arash Hekmat, Zuping Zhang, Saif Ur Rehman Khan, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107221-107221
Closed Access | Times Cited: 5
AI-based intelligent hybrid framework (BO-DenseXGB) for multi- classification of brain tumor using MRI
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Image and Vision Computing (2025), pp. 105417-105417
Closed Access
A Complete Preprocessing Pipeline for Brain Tumor Classification and Overall Survival Prediction Using Bidirectional Convolutional LSTM
Milad Avazbeigi, Mostafa Ghazizadeh-Ahsaee
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
A Federated Learning Approach Towards a Privacy-Preserving Technique for Brain Tumor Classification
Anurag De, Gautam Pal, Karnam Shyam, et al.
Lecture notes in networks and systems (2025), pp. 259-271
Closed Access
Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure
Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan
Brazilian Archives of Biology and Technology (2025) Vol. 68
Open Access
CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability
Shazia Afzal, Muhammad Rauf, Shahzad Ashraf, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 378-378
Open Access
Quantum deep learning in neuroinformatics: a systematic review
Nabil Anan Orka, Md. Abdul Awal, Píetro Lió, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Transfer Learning for Cancer Diagnosis in Medical Images: A Compendious Study
Navreet Kaur, Rahul Hans
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 13
Batch Normalization Based Convolutional Neural Network for Segmentation and Classification of Brain Tumor MRI Images
Gouri Bompem, Dhanalakshmi Pandluri
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 39-49
Open Access | Times Cited: 4
HQMC-CPC: A Hybrid Quantum Multiclass Cardiac Pathologies Classification Integrating a Modified Hardware Efficient Ansatz
Doaa A. Shoieb, Ahmed Younes, Sherin M. Youssef, et al.
IEEE Access (2024) Vol. 12, pp. 18295-18314
Open Access | Times Cited: 3
Brain Tumour Classification Using Quantum Support Vector Machine Learning Algorithm
Tarun Kumar, Dilip Kumar, Gurmohan Singh
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 4815-4828
Closed Access | Times Cited: 9
Brain Tumor Classification and Detection Based DL Models: A Systematic Review
Karrar Neamah, Farhan Mohamed, Myasar Mundher Adnan, et al.
IEEE Access (2023) Vol. 12, pp. 2517-2542
Open Access | Times Cited: 8
Detection of brain space-occupying lesions using quantum machine learning
Javeria Amin, Muhammad Almas Anjum, Nadia Gul, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19279-19295
Closed Access | Times Cited: 7
Review, Limitations, and future prospects of neural network approaches for brain tumor classification
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45799-45841
Closed Access | Times Cited: 7
Improving Performance of a Brain Tumor Detection on MRI Images Using DCGAN-Based Data Augmentation and Vision Transformer (ViT) Approach
Md Momenul Haque, Subrata Kumer Paul, Rakhi Rani Paul, et al.
Springer eBooks (2023), pp. 157-186
Closed Access | Times Cited: 7
AI-Based Smart Decision System for Early and Accurate Brain Tumor Prediction
Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, et al.
EAI/Springer Innovations in Communication and Computing (2024), pp. 77-99
Closed Access | Times Cited: 2
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