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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:

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics
Jun Zhang, Ashirbani Saha, Zhe Zhu, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 38, Iss. 2, pp. 435-447
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

A survey on incorporating domain knowledge into deep learning for medical image analysis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101985-101985
Open Access | Times Cited: 227
A survey on U-shaped networks in medical image segmentations
Liangliang Liu, Jianhong Cheng, Quan Quan, et al.
Neurocomputing (2020) Vol. 409, pp. 244-258
Closed Access | Times Cited: 223
Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet
Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 38, Iss. 11, pp. 2496-2506
Open Access | Times Cited: 185
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 169
CAD and AI for breast cancer—recent development and challenges
Heang‐Ping Chan, Ravi K. Samala, Lubomir M. Hadjiiski
British Journal of Radiology (2019) Vol. 93, Iss. 1108
Open Access | Times Cited: 146
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 143
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M. Mann
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 5, pp. 584-596
Open Access | Times Cited: 96
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 45
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, et al.
Seminars in Cancer Biology (2023) Vol. 96, pp. 11-25
Closed Access | Times Cited: 44
Breast cancer detection using deep learning techniques: challenges and future directions
Muhammad Shahid, Azhar Imran
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 3
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
Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
Payam Jannatdoust, Parya Valizadeh, Nikoo Saeedi, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
Normalization in Training U-Net for 2-D Biomedical Semantic Segmentation
Xiao-Yun Zhou, Guang‐Zhong Yang
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 2, pp. 1792-1799
Open Access | Times Cited: 93
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors
Yutong Xie, Jianpeng Zhang, Hao Lü, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 40, Iss. 1, pp. 286-296
Closed Access | Times Cited: 77
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 55
Impact of quality, type and volume of data used by deep learning models in the analysis of medical images
Andreea Roxana Luca, Tudor Florin Ursuleanu, Liliana Gheorghe, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100911-100911
Open Access | Times Cited: 54
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
Ramin Ranjbarzadeh, N. Sarshar, Saeid Jafarzadeh Ghoushchi, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 1021-1042
Closed Access | Times Cited: 53
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Junxia Wang, Yuanjie Zheng, Jun Ma, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102687-102687
Closed Access | Times Cited: 52
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 50
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence
Tong Li, Wenqi Shi, Monica Isgut, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 80-97
Open Access | Times Cited: 27
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
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
Jiadong Zhang, Zhiming Cui, Zhenwei Shi, et al.
Patterns (2023) Vol. 4, Iss. 9, pp. 100826-100826
Open Access | Times Cited: 25
Clinical applications of deep learning in breast MRI
Xue Zhao, Jing‐Wen Bai, Qiu Guo, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 2, pp. 188864-188864
Closed Access | Times Cited: 24
Joint-phase attention network for breast cancer segmentation in DCE-MRI
Rian Huang, Zeyan Xu, Yu Xie, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119962-119962
Closed Access | Times Cited: 23
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