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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:

Performance analysis of state‐of‐the‐art CNN architectures for brain tumour detection
Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

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: 7
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model
Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, et al.
IEEE Access (2023) Vol. 11, pp. 117210-117230
Open Access | Times Cited: 15
Fruitful Fusion: An Accuracy-Boosting Ensemble of VGG19 and Convolutional Neural Networks for Dragon Fruit Classification
Arshleen Kaur, Vinay Kukreja, Pallavi Tiwari, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 4
Convolutional Neural Network–Machine Learning Model: Hybrid Model for Meningioma Tumour and Healthy Brain Classification
Simona Moldovanu, Gigi Tăbăcaru, Marian Barbu
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 235-235
Open Access | Times Cited: 4
M-C&M-BL: a novel classification model for brain tumor classification: multi-CNN and multi-BiLSTM
Muhammet Sinan Başarslan
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access
Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification
Konstantina-Vasiliki Tompra, George Papageorgiou, Christos Tjortjis
Algorithms (2024) Vol. 17, Iss. 5, pp. 178-178
Open Access | Times Cited: 3
Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces
Soha Safwat, Ayat Mahmoud, Ibrahim Eldesouky Fattoh, et al.
IEEE Access (2024) Vol. 12, pp. 86391-86402
Open Access | Times Cited: 1
Advancing Multi-Class Brain Tumor Classification With DenseNet201 CNN Based Model Using MRI Images
Khushi Mittal, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Xception-based Deep Learning Model for Precise Brain Tumour Classification
Goldy Verma
(2024), pp. 1481-1485
Closed Access | Times Cited: 1
Brain tumor classification utilizing pixel distribution and spatial dependencies higher-order statistical measurements through explainable ML models
Sharmin Akter, Md. Simul Hasan Talukder, Sohag Kumar Mondal, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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