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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 Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
Chetana Srinivas, Nandini Prasad K. S., Mohammed Zakariah, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 189

Showing 1-25 of 189 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
Ahmad Waleed Salehi, Shakir Khan, Gaurav Gupta, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5930-5930
Open Access | Times Cited: 208
Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 164
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
Talha Mahboob Alam, Kamran Shaukat, Wasim Ahmad Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2115-2115
Open Access | Times Cited: 122
Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach
K. Kavin Kumar, P. M. Dinesh, P. Rayavel, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 1845-1861
Open Access | Times Cited: 46
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 45
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 44
Brain tumor detection from images and comparison with transfer learning methods and 3-layer CNN
Mohammad Zafer Khaliki, Muhammet Sinan Başarslan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 36
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
New Cognitive Computational Strategy for Optimizing Brain Tumour Classification using Magnetic Resonance Imaging Data
R. Kishore Kanna, Ayodeji Olalekan Salau
Intelligence-Based Medicine (2025), pp. 100215-100215
Open Access | Times Cited: 1
Brain Tumor Detection using MRI Images and Convolutional Neural Network
Driss Lamrani, Bouchaib Cherradi, Oussama El Gannour, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 58
A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI
Ejaz Ul Haq, Jianjun Huang, Huarong Xu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 52
Human–Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention
Waleed Alsabhan
Sensors (2023) Vol. 23, Iss. 3, pp. 1386-1386
Open Access | Times Cited: 31
Brain tumor classification utilizing deep features derived from high-quality regions in MRI images
Muhammad Aamir, Ziaur Rahman, Waheed Ahmed Abro, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104988-104988
Closed Access | Times Cited: 30
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İni̇k
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30
Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data
Amol Avinash Joshi, Rabia Musheer Aziz
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 29
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
Advancing brain tumor classification accuracy through deep learning: harnessing radimagenet pre-trained convolutional neural networks, ensemble learning, and machine learning classifiers on MRI brain images
Nihal Remzan, Karim Tahiry, Abdelmajid Farchi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82719-82747
Closed Access | Times Cited: 9
Enhancing Brain Tumor Classification by a Comprehensive Study on Transfer Learning Techniques and Model Efficiency Using MRI Datasets
Nadia Shamshad, Danish Sarwr, Ahmad Almogren, et al.
IEEE Access (2024) Vol. 12, pp. 100407-100418
Open Access | Times Cited: 9
Artificial intelligence in respiratory care: Current scenario and future perspective
Saad Alanazi, Awad Al‐Omari, Safug Alanazi, et al.
Annals of Thoracic Medicine (2024) Vol. 19, Iss. 2, pp. 117-130
Open Access | Times Cited: 8
A Comparative Analysis of the Novel Conditional Deep Convolutional Neural Network Model, Using Conditional Deep Convolutional Generative Adversarial Network-Generated Synthetic and Augmented Brain Tumor Datasets for Image Classification
Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Sciences (2024) Vol. 14, Iss. 6, pp. 559-559
Open Access | Times Cited: 8
Tackling class imbalance in computer vision: a contemporary review
Manisha Saini, Seba Susan
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1279-1335
Closed Access | Times Cited: 20
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches
Ramzi Guetari, H. Ayari, Houneida Sakly
Knowledge and Information Systems (2023) Vol. 65, Iss. 10, pp. 3881-3921
Open Access | Times Cited: 16
Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1878-e1878
Open Access | Times Cited: 6
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 6
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