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:

Machine learning based Breast Cancer screening: trends, challenges, and opportunities
Asma Zizaan, Ali Idri
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 3, pp. 976-996
Closed Access | Times Cited: 7

Showing 7 citing articles:

Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000–2022)
Hafsaa Ouifak, Ali Idri
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106582-106582
Closed Access | Times Cited: 5

Evaluating and comparing bagging and boosting of hybrid learning for breast cancer screening
Asma Zizaan, Ali Idri
Scientific African (2023) Vol. 23, pp. e01989-e01989
Open Access | Times Cited: 3

GENETIC ALGORITHM AND RANDOM FOREST CLASSIFIER FUSION: A CUTTING-EDGE APPROACH FOR BREAST CANCER DIAGNOSIS
Veeramani Veerapathran, Faiza Bait Ali Suleiman, Antonyraj Martin, et al.
International Journal of Information Technology Research and Applications (2023) Vol. 2, Iss. 4, pp. 46-54
Open Access | Times Cited: 2

A Systematic Literature Review on Mammography: Deep Learning in Redefining Breast Cancer Diagnosis for the Asian Perspective
Ashwini Amin, U. Dinesh Acharya, P. C. Siddalingaswamy, et al.
Research Square (Research Square) (2024)
Open Access

Parametric optimization and comparative study of machine learning and deep learning algorithms for breast cancer diagnosis
Parul Jain, Shalini Aggarwal, Sufiyan Adam, et al.
Breast Disease (2024) Vol. 43, Iss. 1, pp. 257-270
Closed Access

Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England
Lauren Gatting, Syeda Ahmed, Priscilla Meccheri, et al.
BMJ Public Health (2024) Vol. 2, Iss. 2, pp. e000892-e000892
Open Access

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