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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:

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
IEEE Access (2020) Vol. 8, pp. 165779-165809
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Artificial intelligence for breast cancer analysis: Trends & directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105221-105221
Open Access | Times Cited: 77
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44
BC-QNet: A Quantum-Infused ELM Model for Breast Cancer Diagnosis
Anas Bilal, Azhar Imran, Xiaowen Liu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108483-108483
Closed Access | Times Cited: 20
Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models
Shokofeh Anari, Soroush Sadeghi, Ghazaal Sheikhi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Improved early detection accuracy for breast cancer using a deep learning framework in medical imaging
RICHA RICHA, B. D. K. Patro
Computers in Biology and Medicine (2025) Vol. 187, pp. 109751-109751
Closed Access | Times Cited: 1
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
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
A Systematic Literature Review of Breast Cancer Diagnosis Using Machine Intelligence Techniques
Varsha Nemade, Sunil Pathak, Ashutosh Kumar Dubey
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4401-4430
Closed Access | Times Cited: 42
Survey of Supervised Learning for Medical Image Processing
Abeer Aljuaid, Mohd Anwar
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 39
Breast Cancer Detection and Prevention Using Machine Learning
Arslan Khalid, Arif Mehmood, Amerah Alabrah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3113-3113
Open Access | Times Cited: 35
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Breast cancer classification using deep learned features boosted with handcrafted features
Unaiza Sajid, Rizwan Ahmed Khan, Shahid Munir Shah, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105353-105353
Open Access | Times Cited: 29
A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
Salman Zakareya, Habib Izadkhah, Jaber Karimpour
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1944-1944
Open Access | Times Cited: 26
BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification
Xiaoming Zhao, Yuehui Liao, Jiahao Xie, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107255-107255
Closed Access | Times Cited: 26
B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection
Mamuna Fatima, Muhammad Attique Khan, Saima Shaheen, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 4, pp. 1374-1390
Open Access | Times Cited: 22
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: 12
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
MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms
Iqra Nissar, Shahzad Alam, Sarfaraz Masood, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108121-108121
Closed Access | Times Cited: 7
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
An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
Biology (2021) Vol. 10, Iss. 9, pp. 859-859
Open Access | Times Cited: 54
Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head
Chiagoziem C. Ukwuoma, Md Altab Hossain, Jehoiada Jackson, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1152-1152
Open Access | Times Cited: 32
The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis
Dilber Uzun Ozsahin, Declan Ikechukwu Emegano, Berna Uzun, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 45-45
Open Access | Times Cited: 31
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 Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis
Humayra Afrin, Nicholas B. Larson, Mostafa Fatemi, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3139-3139
Open Access | Times Cited: 16
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
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