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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 deep learning approach for multi‐stage classification of brain tumor through magnetic resonance images
Sahar Gull, Shahzad Akbar, Syed Muhammad Naqi
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 5, pp. 1745-1766
Closed Access | Times Cited: 13

Showing 13 citing articles:

Trade-off between training and testing ratio in machine learning for medical image processing
Muthuramalingam Sivakumar, S. Parthasarathy, S. Padmapriya
PeerJ Computer Science (2024) Vol. 10, pp. e2245-e2245
Open Access | Times Cited: 5
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Detection of MRI brain tumor using residual skip block based modified MobileNet model
Saif Ur Rehman Khan, Ming Zhao, Yangfan Li
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
An optimized dual attention-based network for brain tumor classification
Babak Masoudi
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 7, pp. 2868-2879
Closed Access | Times Cited: 1
Automated segmentation of meningioma from contrast-enhanced T1-weighted MRI images in a case series using a marker-controlled watershed segmentation and fuzzy C-means clustering machine learning algorithm
Sana Mohammadi, Sadegh Ghaderi, Kayvan Ghaderi, et al.
International Journal of Surgery Case Reports (2023) Vol. 111, pp. 108818-108818
Open Access | Times Cited: 4
Deep CNNs for glioma grading on conventional MRIs: Performance analysis, challenges, and future directions
Sonam Saluja, Munesh Chandra Trivedi, Ashim Saha
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5250-5282
Open Access
Automated Segmentation of Brain Tumors in MRI: A Comprehensive Review of Deep Learning Approaches
Chintan Makwana
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 1942-1948
Open Access
Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery
M. Packiamary, A. Muthukumaravel
Advances in computational intelligence and robotics book series (2024), pp. 433-452
Closed Access
Brain tumor grade classification using the ConvNext architecture
Yasar Mehmood, Usama Ijaz Bajwa
Digital Health (2024) Vol. 10
Open Access
A Hybrid Deep Learning Approach for Brain Tumor Classification
Matthew John F. Sino Cruz, Jaime Caro
Lecture notes in networks and systems (2024), pp. 651-662
Closed Access
Computer-Aided System for Pneumothorax Detection through Chest X-ray Images using Convolutional Neural Network
Farwa Urooj, Shahzad Akbar, Syed Ale Hassan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
An Automated Hybrid Glaucoma Detection Framework through Retinal Images
Syed Al E Ali Naqi, Shahzad Akbar, Khurram Iqbal, et al.
(2023), pp. 1-6
Closed Access
Melanoma Classification Through Deep Learning Using Dermoscopic Images
Ahmad Bilal Farooq, Shahzad Akbar, Rida Arif, et al.
(2023), pp. 1-6
Closed Access
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