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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:

Machine Learning based System for Prediction of Breast Cancer Severity
Sara Laghmati, Amal Tmiri, Bouchaib Cherradi
(2019), pp. 1-5
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques
Sara Laghmati, Bouchaib Cherradi, Amal Tmiri, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 46
Convolutional Neural Network Based Classification of Patients with Pneumonia using X-ray Lung Images
Hicham Moujahid, Bouchaib Cherradi, Oussama El Gannour, et al.
Advances in Science Technology and Engineering Systems Journal (2020) Vol. 5, Iss. 5, pp. 167-175
Closed Access | Times Cited: 43
Supervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease
Oumaima Terrada, Soufiane Hamida, Bouchaib Cherradi, et al.
Advances in Science Technology and Engineering Systems Journal (2020) Vol. 5, Iss. 5, pp. 269-277
Open Access | Times Cited: 41
A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images
Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 37
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis
Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
(2020), pp. 1-5
Closed Access | Times Cited: 34
A novel medical diagnosis support system for predicting patients with atherosclerosis diseases
Oumaima Terrada, Bouchaib Cherradi, Abdelhadi Raihani, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100483-100483
Open Access | Times Cited: 31
Early Prediction of Breast Cancer by using Artificial Neural Network and Machine Learning Techniques
Krishna Mridha
(2021), pp. 582-587
Closed Access | Times Cited: 26
Mammography diagnosis of breast cancer screening through machine learning: a systematic review and meta-analysis
Junjie Liu, Jiangjie Lei, Yuhang Ou, et al.
Clinical and Experimental Medicine (2022) Vol. 23, Iss. 6, pp. 2341-2356
Closed Access | Times Cited: 18
Breast Cancer Detection using Machine Learning Techniques
MD Samiul Islam, Md. Ashikuzzaman, Joy Mojumdar
International Journal of Computer Applications (2022) Vol. 184, Iss. 39, pp. 13-19
Open Access | Times Cited: 17
Self-Attention Mechanism for Diabetic Retinopathy Detection
Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2021), pp. 79-88
Closed Access | Times Cited: 22
Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model
Sara Laghmati, Khadija Hicham, Bouchaib Cherradi, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 6
Identification of Halogen-Based Derivatives as Potent Inhibitors of Estrogen Receptor Alpha of Breast Cancer: An In-Silico Investigation
Afsheen Saba, Shabbir Muhammad, Rasheed Ahmad Khera, et al.
Journal of Computational Biophysics and Chemistry (2022) Vol. 21, Iss. 02, pp. 181-205
Closed Access | Times Cited: 10
Exploring Machine Learning Approaches for Breast Cancer Prediction: A Comparative Analysis with ANOVA-Based Feature Selection
Karima Boutahar, Sara Laghmati, Hicham Moujahid, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Hybrid Feature Selection and Bayesian Optimization with Machine Learning for Breast Cancer Prediction
Yash Mate, Neelam Somai
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2021), pp. 612-619
Closed Access | Times Cited: 8
Breast tumour detection using machine learning: review of selected methods from 2015 to 2021
Gouri Sharma, Neeru Jindal
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 32161-32189
Closed Access | Times Cited: 5
Efficient Disease Risk Prediction based on Deep Learning Approach
B. Lalithadevi, S. Krishnaveni
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022), pp. 1197-1204
Closed Access | Times Cited: 5
3D CT Scans for Colorectal Cancer Classification using VGG16 and Data Augmentation
Khadija Hicham, Sara Laghmati, Amal Tmiri
(2023), pp. 1-4
Closed Access | Times Cited: 2
Prediction of Breast Cancer Analysis Using Machine Learning Algorithms and XGBoost Technique
Bonda Likitha, Jyothsna Nakka, J.P. Verma, et al.
Communications in computer and information science (2021), pp. 298-313
Closed Access | Times Cited: 6
An extensible framework for recurrent breast cancer prognosis using deep learning techniques
Shiva Shankar Reddy, Chigurupati Ravi Swaroop, Priyadarshini Voosala, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 2, pp. 931-931
Open Access | Times Cited: 4
An Expert System for Breast Cancer Prediction (ESBCP) using Decision Tree
Akhil Das, Saroj Kumar Biswas, Ardhendu Mandal
Indian Journal of Science and Technology (2022) Vol. 15, Iss. 45, pp. 2441-2450
Open Access | Times Cited: 4
Artificial Intelligence for Colorectal Polyps Classification Using 3D CNN
Khadija Hicham, Sara Laghmati, Amal Tmiri
Lecture notes in mechanical engineering (2023), pp. 165-174
Closed Access | Times Cited: 2
A Computational Performance Study of Unsupervised Data Clustering Algorithms on GPU
Noureddine Ait Ali, Soufiane Hamida, Bouchaib Cherradi, et al.
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) (2022), pp. 1-6
Closed Access | Times Cited: 3
Exploring Deep Learning Methods in Breast Cancer Prediction
Mamatha Kurra
International Journal of Progressive Research in Engineering Management and Science (2024)
Open Access
Strategic Dataset Splitting for Improved Breast Cancer Classification in Logistic Regression Based CAD System
Sara Laghmati, Khadija Hicham, Abdeljalil El-Ibrahimi, et al.
(2024), pp. 1-7
Closed Access
Identification of Most Relevant Breast Cancer miRNA using Machine Learning Algorithms
Tasnime Mehejabin, Faria Rahman, Soniya Yeasmin, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2020), pp. 1-6
Closed Access | Times Cited: 3
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