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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:

Deep learning algorithms for the early detection of breast cancer: A comparative study with traditional machine learning
Rolando Gonzales Martínez, Daan-Max van Dongen
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101317-101317
Open Access | Times Cited: 14

Showing 14 citing articles:

Deep learning approaches to detect breast cancer: a comprehensive review
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 9
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
Fatih Gürcan
PeerJ Computer Science (2025) Vol. 11, pp. e2461-e2461
Open Access | Times Cited: 1
A contemporary review of breast cancer risk factors and the role of artificial intelligence
Orietta Nicolis, Denisse De Los Angeles, Carla Taramasco
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 7
Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis
Fatih Gürcan, Ahmet Soylu
Cancers (2024) Vol. 16, Iss. 19, pp. 3417-3417
Open Access | Times Cited: 5
Innovative Deep Learning Image Technologies
Muhammad Akram, Sibghat Ullah Bazai, Muhammad Sulaman, et al.
Advances in computational intelligence and robotics book series (2025), pp. 145-180
Closed Access
QENN: breast cancer prediction using quantum-enhanced neural network
Vimal Dixit, Krishnan Rajkumar
The Journal of Supercomputing (2025) Vol. 81, Iss. 7
Closed Access
A morphometric signature to identify ductal carcinoma in situ with a low risk of progression
Marcelo Sobral‐Leite, Simón P. Castillo, Shiva Vonk, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access
Barriers to Timely Diagnosis and Management of Breast Cancer in Africa: Implications for Improved Outcomes
Roland Muyisa, Emile Watumwa, Judith Malembe, et al.
Health Sciences Review (2025), pp. 100221-100221
Open Access
Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes
Mandika Chetry, Ruiling Feng, Samra Babar, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2784-e2784
Open Access
Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis
Saleem Ahmad, Imran Zafar, Shaista Shafiq, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis
Sudha Prathyusha Jakkaladiki, Filip Malý
PeerJ Computer Science (2024) Vol. 10, pp. e1850-e1850
Open Access | Times Cited: 2
GSE-YOLO: A Lightweight and High-Precision Model for Identifying the Ripeness of Pitaya (Dragon Fruit) Based on the YOLOv8n Improvement
Qiu Zhi, Zhiyuan Huang, Deyun Mo, et al.
Horticulturae (2024) Vol. 10, Iss. 8, pp. 852-852
Open Access | Times Cited: 1
Identification of a Novel Biomarker Panel for Breast Cancer Screening
Maria Vaida, Kamala K. Arumalla, Pavan Kumar Tatikonda, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11835-11835
Open Access | Times Cited: 1
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Meshrif Alruily, Alshimaa Abdelraof Mahmoud, Hisham Allahem, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques
Hama Soltani, Issam Bendib, Mohamed Yassine Haouam, et al.
Acta Informatica Pragensia (2024) Vol. 13, Iss. 2, pp. 308-326
Open Access
Analyzing the Impact of Breast Cancer Risk Factors Using Decision Tree Modeling
Onur Aygörer, Safìye Turgay
Automation and Machine Learning (2023) Vol. 4, Iss. 3
Open Access
Sentiment Analysis on News Headlines of Nation’s Capital Relocation Using CNN and SVM
Nidaul Hasanati, Tania Syifa Utami, Rinda Hesti Kusumaningtyas
2018 6th International Conference on Cyber and IT Service Management (CITSM) (2023), pp. 1-6
Closed Access
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