Open Access Helper

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:

Automated Brain Tumor Detection Using Machine Learning: A Bibliometric Review
Rajan Hossain, Roliana Ibrahim, Haslina Hashim
World Neurosurgery (2023) Vol. 175, pp. 57-68
Closed Access | Times Cited: 12

Showing 12 citing articles:

Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
Raman Kumar, Essam Althaqafi, S. Gopal Krishna Patro, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111956-111956
Closed Access | Times Cited: 12
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: 11
Frequent CNN based ensembling for MRI classification for Abnormal Brain Growth detection
Vipul V. Bag, Mahesh B. Patil, Sanika Nagnath Kendre
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 3
Open Access | Times Cited: 3
Cycle-consistent generative adversarial networks for damage evolution analysis in fiber-reinforced polymers based on synthetic damage states
Ramon Helwing, Selim Mrzljak, Daniel Hülsbusch, et al.
Composites Science and Technology (2024) Vol. 254, pp. 110695-110695
Open Access | Times Cited: 3
Improved Brain Tumor Segmentation in MR Images with a Modified U-Net
Hiam Alquran, Mohammed Alslatie, Ali Rababah, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6504-6504
Open Access | Times Cited: 1
Textile shields: Current bibliometric analysis of fabric integration for EMI shielding and prospects for future research
Ardiansyah Ardiansyah, Heryanto Heryanto, Dahlang Tahir
Radiation Physics and Chemistry (2024) Vol. 225, pp. 112112-112112
Closed Access | Times Cited: 1
UNet and Transformer-Based Model for Multi-Modality Brain Tumor Segmentation
Jayashree Shedbalkar, Kappargaon S. Prabhushetty, R H Havaldar
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 8, pp. 22-35
Open Access | Times Cited: 2
Brain Tumor Detection and Classification Using Hybrid VGG Network
A. B. M. Najmus Sakib, Nisha Jaman Khan, Labiba Shahrier, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions
Oladosu Oyebisi Oladimeji, Ian McLoughlin, Saritha Unnikrishnan
Deleted Journal (2024) Vol. 1, pp. 100004-100004
Open Access
Design and Analysis for Advancements in Brain Tumor Detection Model by using Machine Learning Techniques
Ashwini D. Gulhane, A. Velmurugan
(2024), pp. 13-18
Closed Access
Unstable thoracolumbar injuries: A bibliometric analysis of the most influential papers
Eduardo Cattapan Piovesan, Werner Petry Silva, Alfredo Guiroy, et al.
Journal of Craniovertebral Junction and Spine (2024) Vol. 15, Iss. 4, pp. 467-474
Open Access
A Study on Brain Tumor in Various Fields using Machine Learning
E Pushparaj., A. Arun
(2023), pp. 1885-1891
Closed Access | Times Cited: 1
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