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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 Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
Syed Jamal Safdar Gardezi, Ahmed Elazab, Baiying Lei, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 7, pp. e14464-e14464
Open Access | Times Cited: 217

Showing 1-25 of 217 citing articles:

Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review
Jiamin Yin, Kee Yuan Ngiam, Hock‐Hai Teo
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e25759-e25759
Open Access | Times Cited: 268
Medical image analysis based on deep learning approach
Murali Krishna Puttagunta, S. Ravi
Multimedia Tools and Applications (2021)
Open Access | Times Cited: 213
Inconsistent Performance of Deep Learning Models on Mammogram Classification
Xiaoqin Wang, Gongbo Liang, Yu Zhang, et al.
Journal of the American College of Radiology (2020) Vol. 17, Iss. 6, pp. 796-803
Open Access | Times Cited: 153
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 104
Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Kosmia Loizidou, Rafaella Elia, Costas Pitris
Computers in Biology and Medicine (2023) Vol. 153, pp. 106554-106554
Open Access | Times Cited: 77
A Novel Medical Image Enhancement Algorithm for Breast Cancer Detection on Mammography Images Using Machine Learning
Hanife Avcı, Jale Karakaya
Diagnostics (2023) Vol. 13, Iss. 3, pp. 348-348
Open Access | Times Cited: 57
Vision-Transformer-Based Transfer Learning for Mammogram Classification
Gelan Ayana, Kokeb Dese, Yisak Dereje, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 178-178
Open Access | Times Cited: 56
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 47
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Ahsan Bin Tufail, Yongkui Ma, Mohammed K. A. Kaabar, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-28
Open Access | Times Cited: 100
Automated Breast Cancer Detection in Digital Mammograms of Various Densities via Deep Learning
Yong Joon Suh, Jaewon Jung, Bum‐Joo Cho
Journal of Personalized Medicine (2020) Vol. 10, Iss. 4, pp. 211-211
Open Access | Times Cited: 96
Predicting breast cancer 5-year survival using machine learning: A systematic review
Jiaxin Li, Zijun Zhou, Jianyu Dong, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250370-e0250370
Open Access | Times Cited: 92
Breast Cancer Segmentation Methods: Current Status and Future Potentials
Epimack Michael, He Ma, Hong Li, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-29
Open Access | Times Cited: 86
Simultaneous feature weighting and parameter determination of Neural Networks using Ant Lion Optimization for the classification of breast cancer
Dalwinder Singh, Birmohan Singh, Manpreet Kaur
Journal of Applied Biomedicine (2019) Vol. 40, Iss. 1, pp. 337-351
Closed Access | Times Cited: 83
Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Artificial Intelligence (2021) Vol. 35, Iss. 15, pp. 2157-2203
Open Access | Times Cited: 82
A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans
Νικόλαος Παπανδριανός, Elpiniki I. Papageorgiou, Athanasios Anagnostis, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 997-997
Open Access | Times Cited: 76
Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram
Sharaf J. Malebary, Arshad Hashmi
IEEE Access (2021) Vol. 9, pp. 55312-55328
Open Access | Times Cited: 76
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: 74
Breast cancer masses classification using deep convolutional neural networks and transfer learning
Shayma’a A. Hassan, Mohammed S. Sayed, Mahmoud I. Abdalla, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 41-42, pp. 30735-30768
Closed Access | Times Cited: 72
Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm
Saliha Zahoor, Umar Shoaib, Ikram Ullah Lali
Diagnostics (2022) Vol. 12, Iss. 2, pp. 557-557
Open Access | Times Cited: 63
Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey
Parita Oza, Paawan Sharma, Samir Patel, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 3, pp. 1815-1836
Closed Access | Times Cited: 61
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers
Sudhakar Tummala, Jungeun Kim, Seifedine Kadry
Mathematics (2022) Vol. 10, Iss. 21, pp. 4109-4109
Open Access | Times Cited: 52
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks
R. Karthik, R. Menaka, M. V. Siddharth
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 963-976
Closed Access | Times Cited: 50
Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques
Asma Baccouche, Begonya García-Zapirain, Yufeng Zheng, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106884-106884
Closed Access | Times Cited: 41
Breast cancer diagnosis using the fast learning network algorithm
Musatafa Abbas Abbood Albadr, Masri Ayob, Sabrina Tiun, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 36
Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm
Leren Qian, Jiexin Bai, Yiqian Huang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105492-105492
Closed Access | Times Cited: 36
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