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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 knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI
Hongwei Feng, Jiaqi Cao, Hongyu Wang, et al.
Magnetic Resonance Imaging (2020) Vol. 69, pp. 40-48
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114161-114161
Closed Access | Times Cited: 308
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
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
Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Mehran Radak, Haider Yabr Lafta, Hossein Fallahi
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 10473-10491
Closed Access | Times Cited: 40
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
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
Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
Richard Adam, Kevin Dell’Aquila, Laura Hodges, et al.
Breast Cancer Research (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 35
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
Medical-informed machine learning: integrating prior knowledge into medical decision systems
Christel Sirocchi, Alessandro Bogliolo, Sara Montagna
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. S4
Open Access | Times Cited: 8
Deep learning in breast radiology: current progress and future directions
William C. Ou, Dogan S. Polat, Başak E. Doğan
European Radiology (2021) Vol. 31, Iss. 7, pp. 4872-4885
Closed Access | Times Cited: 42
Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring
Roberto Lo Gullo, Savannah C. Partridge, Hee Jung Shin, et al.
American Journal of Roentgenology (2023) Vol. 222, Iss. 1
Open Access | Times Cited: 18
MammoViT: A Custom Vision Transformer Architecture for Accurate BIRADS Classification in Mammogram Analysis
Ahmed Mokhtar A. Mansour, Faisal Alshomrani, Abdullah Alfahaid, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 285-285
Open Access
Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis
Kamarul Amin Abdullah, Sara Marziali, Muzna Nanaa, et al.
European Radiology (2025)
Open Access
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI
Luyi Han, Tao Tan, Tianyu Zhang, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103044-103044
Open Access | Times Cited: 12
The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
(2022)
Open Access | Times Cited: 15
Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images
Tudor Florin Ursuleanu, Andreea Roxana Luca, Liliana Gheorghe, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1373-1373
Open Access | Times Cited: 14
Knowledge-driven feature engineering to detect multiple symptoms using ambulatory blood pressure monitoring data
Zaffar Haider Janjua, David Kerins, Brendan O’Flynn, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 217, pp. 106638-106638
Open Access | Times Cited: 10
Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
Tom Finck, Hongwei Li, Sarah Schlaeger, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 10
Feature generation and multi-sequence fusion based deep convolutional network for breast tumor diagnosis with missing MR sequences
Tonghui Wang, Hongyu Wang, Jiahui Deng, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104536-104536
Closed Access | Times Cited: 8
Noise reduction and mammography image segmentation optimization with novel QIMFT-SSA method
Widiastuti Soewondo, S.O. Haji, M. Eftekharian, et al.
Computer Optics (2022) Vol. 46, Iss. 2
Open Access | Times Cited: 7
Development of breast cancer diagnosis system based on fuzzy logic and probabilistic neural network
Taha Mohammed Hasan, Sahab Dheyaa Mohammed, Jumana Waleed
Eastern-European Journal of Enterprise Technologies (2020) Vol. 4, Iss. 9 (106), pp. 6-13
Open Access | Times Cited: 10
Developing and Evaluating Deep Learning Algorithms for Object Detection: Key Points for Achieving Superior Model Performance
Jang-Hoon Oh, Hyug‐Gi Kim, Kyung Mi Lee
Korean Journal of Radiology (2023) Vol. 24, Iss. 7, pp. 698-698
Open Access | Times Cited: 3
Hyperparameter Optimization of Deep Learning Networks for Classification of Breast Histopathology Images
Cheng‐Jian Lin, Shiou-Yun Jeng, Chin‐Ling Lee
Sensors and Materials (2021) Vol. 33, Iss. 1, pp. 315-315
Open Access | Times Cited: 8
A Deep Learning Based Methodological Analysis for Breast Cancer Classification
T. Rajendran, G. Divya, S. Sekar, et al.
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 6, pp. 52-68
Open Access | Times Cited: 2
Breast Sentinel Lymph Node Cancer Detection from Mammographic Images Based on Quantum Wavelet Transform and an Atrous Pyramid Convolutional Neural Network
Mohammed N. Qasim, Tareq Abed Mohammed, Oğuz Bayat
Scientific Programming (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 3
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