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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 detection and classification using machine learning: a comprehensive survey
Javeria Amin, Muhammad Sharif, Anandakumar Haldorai, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3161-3183
Open Access | Times Cited: 256

Showing 1-25 of 256 citing articles:

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: 126
Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization
Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-kenawy, et al.
Bioengineering (2022) Vol. 10, Iss. 1, pp. 18-18
Open Access | Times Cited: 98
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
IEEE Access (2023) Vol. 11, pp. 12870-12886
Open Access | Times Cited: 92
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: 38
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: 37
Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning
Maram Fahaad Almufareh, Muhammad Imran, Abdullah Khan, et al.
IEEE Access (2024) Vol. 12, pp. 16189-16207
Open Access | Times Cited: 22
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: 58
Segmentation and classification of brain tumor using 3D-UNet deep neural networks
Pranjal Agrawal, Nitish Katal, Nishtha Hooda
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 199-210
Open Access | Times Cited: 57
Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach
Tejas Shelatkar, Urvashi, Mohammad Shorfuzzaman, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 52
Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network
Gehad Abdullah Amran, Mohammed Shakeeb Alsharam, Abdullah Omar A. Blajam, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3457-3457
Open Access | Times Cited: 47
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: 38
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
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
A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23929-23966
Closed Access | Times Cited: 28
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120276-120276
Closed Access | Times Cited: 21
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: 9
Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Sarfaraz Natha, Umm e Laila, Ibrahim Ahmed Gashim, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2210-2210
Open Access | Times Cited: 7
An Efficient Brain Tumor Detection and Classification using Pre-Trained Convolutional Neural Network Models
K. Nishanth Rao, Osamah Ibrahim Khalaf, Vasagiri Krishnasree, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36773-e36773
Open Access | Times Cited: 7
VGX: VGG19‐Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI)
Deep Kothadiya, Amjad Rehman, Bayan Alghofaily, et al.
Microscopy Research and Technique (2025)
Closed Access
Delay-Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness
Aditya Pai H, Khalid K. Almuzaini, Liaqat Ali, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 36
Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model
Nagwan Abdel Samee, Noha F. Mahmoud, Ghada Atteia, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2541-2541
Open Access | Times Cited: 35
A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images
Naeem Ullah, Muhammad Sohail Khan, Javed Ali Khan, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7575-7575
Open Access | Times Cited: 27
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection
Ming Kang, Chee-Ming Ting, Fung Fung Ting, et al.
Lecture notes in computer science (2023), pp. 600-610
Closed Access | Times Cited: 20
Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework
Deependra Rastogi, Prashant Johri, Varun Tiwari, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105602-105602
Closed Access | Times Cited: 20
ConvAttenMixer: Brain tumor detection and type classification using convolutional mixer with external and self-attention mechanisms
Salha M. Alzahrani
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101810-101810
Open Access | Times Cited: 18
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