Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Hybrid deep boosting ensembles for histopathological breast cancer classification
Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri
Health and Technology (2022) Vol. 12, Iss. 6, pp. 1043-1060
Closed Access | Times Cited: 11

Showing 11 citing articles:

New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis
Hasnae Zerouaoui, Omar El Alaoui, Ali Idri
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65189-65220
Closed Access | Times Cited: 8
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: 21
LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image Processing
Bassam M. Kanber, Ahmad Al Smadi, Naglaa F. Noaman, et al.
IEEE Access (2024) Vol. 12, pp. 39811-39832
Open Access | Times Cited: 6
Breast Cancer Detection via Multi-Tiered Self-Contrastive Learning in Microwave Radiometric Imaging
Christoforos Galazis, Huiyi Wu, Igor Goryanin
Diagnostics (2025) Vol. 15, Iss. 5, pp. 549-549
Open Access
Automated Breast Cancer Detection: A Review
Rozah Hassan M. Alkhater, Somaya Al‐Maadeed
Communications in computer and information science (2025), pp. 297-310
Closed Access
Boosting predictive accuracy in tumor cellularity evaluation with AI-powered ensemble methods
Ching-Ping Wang, Yi‐Chen Yeh, Jung-Chih Chen, et al.
Health and Technology (2025)
Open Access
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: 4
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review
Oumeima Thaalbi, Moulay A. Akhloufi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning
Fatima-Zahrae Nakach, Hasnae Zerouaoui, Ali Idri
Data Technologies and Applications (2023) Vol. 57, Iss. 5, pp. 668-695
Closed Access | Times Cited: 3
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection
A.V.S. Swetha, Manju Bala, Kapil Sharma
Intelligent Data Analysis (2024), pp. 1-36
Closed Access
Multimodal random subspace for breast cancer molecular subtypes prediction by integrating multi-dimensional data
Fatima-Zahrae Nakach, Ali Idri, Gbègninougbo Aurel Davy Tchokponhoue
Multimedia Tools and Applications (2024)
Closed Access
Page 1

Scroll to top