OpenAlex Citation Counts

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 segmentation of brain tumour images using deep learning-based model VGG19 and ResNet 101
Sana Ali, Jitendra Agrawal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33351-33370
Closed Access | Times Cited: 6

Showing 6 citing articles:

Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future
Priyanka Datta, Rajesh Rohilla
Archives of Computational Methods in Engineering (2025)
Closed Access

Deep Learning-Based Eye Blink Detection in Video Frames: Performance Analysis of Various Models
Fahad Ata, Kubilay Ayturan, Fırat Hardalaç, et al.
(2024)
Open Access | Times Cited: 1

Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization
Kavin Kumar K, S Srimathi, B Suhashini, et al.
(2024), pp. 1-6
Closed Access

Synergistic application of digital outcrop characterization techniques and deep learning algorithms in geological exploration
Zhicheng Dong, Pan Tang, Gongyang Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Recognition and Analysis of Painting Styles with the Help of Computer Vision Techniques
Jun Cheng, L. T. Yang, Shanbao Tong
Informatica (2024) Vol. 48, Iss. 21
Open Access

Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning
Yash Pande, Jyotismita Chaki
Results in Engineering (2024), pp. 103832-103832
Open Access

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Requested Article:

Showing 6 citing articles:

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