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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:

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

Showing 1-25 of 50 citing articles:

A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 5023-5052
Closed Access | Times Cited: 64
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 19
Breast cancer detection using deep learning techniques: challenges and future directions
Muhammad Shahid, Azhar Imran
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 2
Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis
Gayathri Bulusu, K. E. Ch. Vidyasagar, Malini Mudigonda, et al.
Archives of Computational Methods in Engineering (2025)
Open Access | Times Cited: 1
A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
Sathiyabhama Balasubramaniam, Yuvarajan Velmurugan, Dhayanithi Jaganathan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2746-2746
Open Access | Times Cited: 32
Invasive Lobular Carcinoma: A Review of Imaging Modalities with Special Focus on Pathology Concordance
Alicia M Pereslucha, Danielle M. Wenger, Michael F. Morris, et al.
Healthcare (2023) Vol. 11, Iss. 5, pp. 746-746
Open Access | Times Cited: 23
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
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
Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 422-422
Open Access | Times Cited: 6
Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
Muhammad Fazal Ijaz, Marcin Woźniak
Cancers (2024) Vol. 16, Iss. 4, pp. 700-700
Open Access | Times Cited: 5
Artificial intelligence versus radiologists in detecting early-stage breast cancer from mammograms: a meta-analysis of paradigm shifts
Hashim Talib Hashim, Ahmed Qasim Mohammed Alhatemi, Motaz Daraghma, et al.
Polish Journal of Radiology (2025) Vol. 90, pp. 1-8
Open Access
Systematic Review on Technical Aspects and Clinical Outcomes of Various Diagnostic Modalities in Breast Imaging: Have We Still Got a Full Proof Modality?
Shalini Modi, Smita Kothari
Indian Journal of Medical Specialities (2025)
Closed Access
Identification of benign and malignant breast nodules on ultrasound: comparison of multiple deep learning models and model interpretation
Xi Wen, Hao Tu, Bingyang Zhao, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images
D. Suganya, R. Kalpana
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105820-105820
Open Access | Times Cited: 14
Revolutionizing diagnostic pathology: The emergence and impact of artificial intelligence—what doesn't kill you makes you stronger?
Albert Alhatem, Trish Wong, W. Clark Lambert
Clinics in Dermatology (2024) Vol. 42, Iss. 3, pp. 268-274
Closed Access | Times Cited: 4
Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images
Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106351-106351
Open Access | Times Cited: 4
Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
Maciej Bobowicz, Marlena Rygusik, Jakub Buler, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2704-2704
Open Access | Times Cited: 10
Errors in Radiology: A Standard Review
Filippo Pesapane, Giulia Gnocchi, Cettina Quarrella, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 15, pp. 4306-4306
Open Access | Times Cited: 3
Embedded Sensor Systems in Medical Devices: Requisites and Challenges Ahead
Nerea Arandia, José Ignacio Gárate, Jon Mabe
Sensors (2022) Vol. 22, Iss. 24, pp. 9917-9917
Open Access | Times Cited: 16
Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer
Zi Huai Huang, Lianghong Chen, Yan Sun, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Personalised learning and artificial intelligence in science education: current state and future perspectives
Özkan Yılmaz
Educational Technology Quarterly (2024) Vol. 2024, Iss. 3, pp. 255-274
Open Access | Times Cited: 2
Machine learning based Breast Cancer screening: trends, challenges, and opportunities
Asma Zizaan, Ali Idri
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 3, pp. 976-996
Closed Access | Times Cited: 7
Machine Learning for Early Breast Cancer Detection
N. A. Chowdhury, Lulu Wang, Linxia Gu, et al.
Journal of Engineering and Science in Medical Diagnostics and Therapy (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
Improving Breast Cancer Prognosis with DL-Based Image Classification
Surendra Reddy Vinta, B. Dhanalaxmi, S. Aadilakshmi, et al.
Lecture notes in networks and systems (2024), pp. 55-68
Closed Access | Times Cited: 1
Exploring Machine Learning Approaches for Breast Cancer Prediction: A Comparative Analysis with ANOVA-Based Feature Selection
Karima Boutahar, Sara Laghmati, Hicham Moujahid, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
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