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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:

Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review
Marina Yusoff, Toto Haryanto, Heru Suhartanto, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 683-683
Open Access | Times Cited: 20

Showing 20 citing articles:

Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision‐making
Han Bao, Li Min, Fanqin Bu, et al.
Deleted Journal (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 35
A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
Salman Zakareya, Habib Izadkhah, Jaber Karimpour
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1944-1944
Open Access | Times Cited: 22
A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation
Teng Wang, Jun Liu, Jinshan Tang
Deleted Journal (2025)
Closed Access
Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
Anna Paleczek, Artur Rydosz
Elsevier eBooks (2025), pp. 77-94
Closed Access
Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence
Mariia Ivanova, Carlo Pescia, Dario Trapani, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 1981-1981
Open Access | Times Cited: 3
XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images
Chong Yin, Siqi Liu, Fei Lyu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 21, pp. 11282-11291
Closed Access | Times Cited: 2
Canine Mammary Tumor Histopathological Image Classification via Computer-Aided Pathology: An Available Dataset for Imaging Analysis
Giovanni Pietro Burrai, Andrea Gabrieli, Marta Polinas, et al.
Animals (2023) Vol. 13, Iss. 9, pp. 1563-1563
Open Access | Times Cited: 5
Multi-label noisy samples in underwater inspection from the oil and gas industry
Vitor Bento Sousa, Second Amanda Pereira, Third Manoela Koher, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6855-6873
Closed Access | Times Cited: 1
Towards Agility in Breast Cancer Treatment Principles as Adopted from Agile Software Engineering
Yousra Odeh, Mahmoud Al-Balas
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 1315-1341
Open Access | Times Cited: 1
Computer-Aided Breast Cancer Diagnosis Using Deep Learning: Malignancy Detection and HER2 Scoring
Merna El-Nakeeb, Muhammed Ali, Kareem AbdelHadi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Breast Cancer Classification Utilizing Deep Learning Techniques on Medical Images: A Comprehensive Review
Marwah K. Muttair
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 1913-1943
Open Access
Meme Kanseri Erken Teşhisi için MAMA ve KTB Kullanarak Geliştirilen Model
Samet Aymaz
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 320-329
Open Access
Breast Cancer Classification with ANN and DBN
Vishal Gupta, Savita Wadhawan, Vinod Kumar, et al.
(2024) Vol. 2, pp. 246-251
Closed Access
DBAII-Net with multiscale feature aggregation and cross-modal attention for enhancing infant brain injury classification in MRI
Zhen Jia, Tingting Huang, Xianjun Li, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 20, pp. 205017-205017
Closed Access
Machine learning applications in breast cancer prediction using mammography
Harshvardhan GM, Kei Mori, Sarika Verma, et al.
Image and Vision Computing (2024) Vol. 152, pp. 105338-105338
Closed Access
Detecting Breast Cancer in X-RAY images using image segmentation algorithm and neural networks
Rasha Talib Gdeeb
Informatica (2023) Vol. 47, Iss. 9
Open Access | Times Cited: 1
Classification of Breast Cancer using a Novel Neural Network-based Architecture
Priti Mishra, Sangita Khare, Tripty Singh, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-6
Closed Access | Times Cited: 1
Artificial Intelligence for the Management of Breast Cancer: An Overview
Harshita Gandhi, Kapil Kumar
Current Drug Discovery Technologies (2023) Vol. 21, Iss. 4
Closed Access | Times Cited: 1
Editorial on Special Issue “Medical Data Processing and Analysis”
Wan Azani Mustafa, Hiam Alquran
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2081-2081
Open Access
Clustering performance using k-modes with modified entropy measure for breast cancer
Nurshazwani Muhamad Mahfuz, Heru Suhartanto, Kusmardi Kusmardi, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 2, pp. 1150-1150
Open Access
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