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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 diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
Reza Rasti, Mohammad Teshnehlab, Son Lam Phung
Pattern Recognition (2017) Vol. 72, pp. 381-390
Closed Access | Times Cited: 169

Showing 1-25 of 169 citing articles:

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
Amin Kabir Anaraki, Moosa Ayati, Foad Kazemi
Journal of Applied Biomedicine (2018) Vol. 39, Iss. 1, pp. 63-74
Closed Access | Times Cited: 498
Deep Learning and Medical Diagnosis: A Review of Literature
Mihalj Bakator, Dragica Radosav
Multimodal Technologies and Interaction (2018) Vol. 2, Iss. 3, pp. 47-47
Open Access | Times Cited: 424
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
Ghulam Murtaza, Liyana Shuib, Ainuddin Wahid Abdul Wahab, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1655-1720
Closed Access | Times Cited: 258
Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble
Reza Rasti, Hossein Rabbani, Alireza Mehridehnavi, et al.
IEEE Transactions on Medical Imaging (2017) Vol. 37, Iss. 4, pp. 1024-1034
Closed Access | Times Cited: 254
Ensemble deep learning in bioinformatics
Yue Cao, Thomas A. Geddes, Jean Yang, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 9, pp. 500-508
Closed Access | Times Cited: 253
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease
Hongfei Wang, Yanyan Shen, Shuqiang Wang, et al.
Neurocomputing (2018) Vol. 333, pp. 145-156
Closed Access | Times Cited: 214
Reviewing ensemble classification methods in breast cancer
Mohamed Hosni, Ibtissam Abnane, Ali Idri, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 177, pp. 89-112
Closed Access | Times Cited: 179
A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data
Xiaohui Yuan, Lijun Xie, Mohamed Abouelenien
Pattern Recognition (2017) Vol. 77, pp. 160-172
Closed Access | Times Cited: 174
Radiological images and machine learning: Trends, perspectives, and prospects
Zhenwei Zhang, Ervin Sejdić
Computers in Biology and Medicine (2019) Vol. 108, pp. 354-370
Open Access | Times Cited: 168
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: 145
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: 94
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
Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
Suresh Samudrala, C. Krishna Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46037-46063
Closed Access | Times Cited: 54
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
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
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
Le Hou, Vu Nguyen, Ariel B. Kanevsky, et al.
Pattern Recognition (2018) Vol. 86, pp. 188-200
Open Access | Times Cited: 152
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
Feature Selection Method Based on Grey Wolf Optimization for Coronary Artery Disease Classification
Qasem Al-Tashi, Helmi Md Rais, Said Jadid Abdulkadir
Advances in intelligent systems and computing (2018), pp. 257-266
Closed Access | Times Cited: 91
Domain Knowledge Powered Deep Learning for Breast Cancer Diagnosis Based on Contrast-Enhanced Ultrasound Videos
Chen Chen, Yong Wang, Jianwei Niu, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 9, pp. 2439-2451
Closed Access | Times Cited: 88
A context-sensitive deep learning approach for microcalcification detection in mammograms
Juan Wang, Yongyi Yang
Pattern Recognition (2018) Vol. 78, pp. 12-22
Open Access | Times Cited: 86
Hierarchical brain tumour segmentation using extremely randomized trees
Adriano Pinto, Sérgio Pereira, Deolinda Rasteiro, et al.
Pattern Recognition (2018) Vol. 82, pp. 105-117
Closed Access | Times Cited: 86
Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection
Muhammad Hammad Memon, Jianping Li, Amin Ul Haq, et al.
Wireless Communications and Mobile Computing (2019) Vol. 2019, pp. 1-19
Open Access | Times Cited: 84
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
Sarah Hickman, Gabrielle Baxter, Fiona J. Gilbert
British Journal of Cancer (2021) Vol. 125, Iss. 1, pp. 15-22
Open Access | Times Cited: 77
A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data
Na Liu, LI Xiao-mei, Ershi Qi, et al.
IEEE Access (2020) Vol. 8, pp. 171263-171280
Open Access | Times Cited: 71
Detection of Breast Cancer Through Clinical Data Using Supervised and Unsupervised Feature Selection Techniques
Amin Ul Haq, Jianping Li, Abdus Saboor, et al.
IEEE Access (2021) Vol. 9, pp. 22090-22105
Open Access | Times Cited: 71
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