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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:

Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0263126-e0263126
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 158
A Yolo-Based Model for Breast Cancer Detection in Mammograms
Francesco Prinzi, Marco Insalaco, Alessia Angela Maria Orlando, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 107-120
Open Access | Times Cited: 48
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 104919-104919
Closed Access | Times Cited: 41
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120282-120282
Closed Access | Times Cited: 41
Breast cancer classification based on hybrid CNN with LSTM model
Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sachin M. Narangale, et al.
Biomedicines (2022) Vol. 10, Iss. 11, pp. 2971-2971
Open Access | Times Cited: 42
Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 113623-113652
Open Access | Times Cited: 27
Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography
Tariq Mahmood, Tanzila Saba, Amjad Rehman, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123747-123747
Closed Access | Times Cited: 13
Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
Umer Farooq, Shahid Naseem, Tariq Mahmood, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 16334-16367
Closed Access | Times Cited: 7
ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images
Aymen M. Al-Hejri, Riyadh M. Al-Tam, Muneer Fazea, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 89-89
Open Access | Times Cited: 29
Enhancing Prognosis Accuracy for Ischemic Cardiovascular Disease Using K Nearest Neighbor Algorithm: A Robust Approach
Ghulam Muhammad, Saad Naveed, Lubna Nadeem, et al.
IEEE Access (2023) Vol. 11, pp. 97879-97895
Open Access | Times Cited: 18
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT
Wenjun Liu, Jin Wang, Yiting Lei, et al.
Infection and Drug Resistance (2025) Vol. Volume 18, pp. 31-42
Open Access
Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches
Matias Rolando, Víctor Raggio, Hugo Naya, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sultan S. Alshamrani, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 731-758
Closed Access | Times Cited: 4
Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
Maciej Bobowicz, Marlena Rygusik, Jakub Buler, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2704-2704
Open Access | Times Cited: 11
Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
Zhihan Lv, Chen Cheng, Haibin Lv
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2254
Open Access | Times Cited: 9
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer
Haowen Yan, Gaoting Huang, Zhihe Yang, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 230-246
Open Access | Times Cited: 2
Breast cancer: new mammography dual-view classification approach based on pre-processing and transfer learning techniques
Saida Sarra Boudouh, Mustapha Bouakkaz
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24315-24337
Closed Access | Times Cited: 7
Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
Abeer Saber, Abdelazim G. Hussien, Wael A. Awad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Advancing precision in breast cancer detection: a fusion of vision transformers and CNNs for calcification mammography classification
Saida Sarra Boudouh, Mustapha Bouakkaz
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8170-8183
Closed Access | Times Cited: 2
Intelligent Breast Mass Classification Approach Using Archimedes Optimization Algorithm with Deep Learning on Digital Mammograms
Mohammed Basheri
Biomimetics (2023) Vol. 8, Iss. 6, pp. 463-463
Open Access | Times Cited: 6
Cancer Unveiled: A Deep Dive Into Breast Tumor Detection Using Cutting-Edge Deep Learning Models
Wishal Arshad, Tehreem Masood, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 133804-133824
Open Access | Times Cited: 6
Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models
Saida Sarra Boudouh, Mustapha Bouakkaz
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 16, pp. 14549-14564
Closed Access | Times Cited: 5
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