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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:

Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging
Hasnae Zerouaoui, Ali Idri
Journal of Medical Systems (2021) Vol. 45, Iss. 1
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 117
Microglial morphometric analysis: so many options, so little consistency
Jack Reddaway, Peter Richardson, Ryan J. Bevan, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 41
Deep hybrid architectures for binary classification of medical breast cancer images
Hasnae Zerouaoui, Ali Idri
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103226-103226
Closed Access | Times Cited: 72
Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning
Deepti Sharma, Rajneesh Kumar, Anurag Jain
Measurement Sensors (2022) Vol. 24, pp. 100560-100560
Open Access | Times Cited: 39
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 9
Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Su Myat Thwin, Sharaf J. Malebary, Anas W. Abulfaraj, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 16-16
Open Access | Times Cited: 7
Medical image processing and COVID-19: A literature review and bibliometric analysis
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Muhammed Yousoof Ismail, et al.
Journal of Infection and Public Health (2021) Vol. 15, Iss. 1, pp. 75-93
Open Access | Times Cited: 48
Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 28
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: 6
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50
Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 624-624
Open Access
On the value of deep learning for diagnosing diabetic retinopathy
Chaymaa Lahmar, Ali Idri
Health and Technology (2021) Vol. 12, Iss. 1, pp. 89-105
Closed Access | Times Cited: 34
A Deep Learning Computer-Aided Diagnosis Approach for Breast Cancer
Ahmed M. Zaalouk, Gamal A. Ebrahim, Hoda K. Mohamed, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 391-391
Open Access | Times Cited: 22
Deep hybrid architectures for diabetic retinopathy classification
Chaymaa Lahmar, Ali Idri
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 2, pp. 166-184
Closed Access | Times Cited: 19
MULTINET: A Multi-Agent DRL and EfficientNet Assisted Framework for 3D Plant Leaf Disease Identification and Severity Quantification
Samia Allaoua Chelloug, Reem Alkanhel, Mohammed Saleh Ali Muthanna, et al.
IEEE Access (2023) Vol. 11, pp. 86770-86789
Open Access | Times Cited: 11
The Applications of Blockchain in Artificial Intelligence
Ruonan Wang, Min Luo, Yihong Wen, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 25
Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review
Xiao Jian Tan, Wai Loon Cheor, Li Li Lim, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3111-3111
Open Access | Times Cited: 18
A machine learning approach on chest X-rays for pediatric pneumonia detection
Natali Barakat, Mahmoud Awad, Bassam A. Abu-Nabah
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions
Ankita Dey, Ebrahim Ali, Sreeraman Rajan
IEEE Open Journal of Instrumentation and Measurement (2023) Vol. 2, pp. 1-14
Open Access | Times Cited: 9
State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 22
A Comprehensive Study on Different Machine Learning Techniques to Predict Heart Disease
Pooja Sharma, Sarwesh Site
Indian Journal of Artificial Intelligence and Neural Networking (2022) Vol. 2, Iss. 3, pp. 1-7
Open Access | Times Cited: 14
Augmented data strategies for enhanced computer vision performance in breast cancer diagnosis
Asieh Kaffashbashi, Vahid Sobhani, Fariba Goodarzian, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 7, pp. 3093-3106
Closed Access | Times Cited: 2
A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study
Rossana Castaldo, Nunzia Garbino, Carlo Cavaliere, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 499-499
Open Access | Times Cited: 12
Deep Active Learning for Automatic Mitotic Cell Detection on HEp-2 Specimen Medical Images
Asaad Anaam, Mugahed A. Al-antari, Jamil Hussain, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1416-1416
Open Access | Times Cited: 7
Survival Prediction of Esophageal Squamous Cell Carcinoma Based on the Prognostic Index and Sparrow Search Algorithm-Support Vector Machine
Yanfeng Wang, Wenhao Zhang, Yuli Yang, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 7, pp. 598-609
Closed Access | Times Cited: 7
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