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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:

Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120282-120282
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 31
Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Su Myat Thwin, Sharaf J. Malebary, Anas W. Abulfaraj, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 16-16
Open Access | Times Cited: 7
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 16
Review of medical image processing using quantum-enabled algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 5
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 5
Enhanced breast cancer detection and classification via CAMR-Gabor filters and LSTM: A deep Learning-Based method
Vinit Kumar, K. Chandrashekhara, Naga Padmaja Jagini, et al.
Egyptian Informatics Journal (2025) Vol. 29, pp. 100602-100602
Closed Access
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection
Hari Mohan, Joon Yoo, Saurabh Agarwal, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 73-73
Open Access
Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Dual‐View Deep Learning Model for Accurate Breast Cancer Detection in Mammograms
Dilawar Shah, Mohammad Asmat Ullah Khan, Mohammad Abrar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
A multiview-slice feature fusion network for early diagnosis of Alzheimer’s disease with structural MRI images
Hesheng Huang, Witold Pedrycz, Kaoru Hirota, et al.
Information Fusion (2025) Vol. 119, pp. 103010-103010
Closed Access
Optimizing Artificial Intelligence-aided breast cancer models: An empirical analysis of binary classifiers and regression-based feature selectors
Fakhriddin Madolimov, Asilbek Medatov, Elmira Nazirova, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110318-110318
Closed Access
Deep learning-driven prediction in healthcare systems: Applying advanced CNNs for enhanced breast cancer detection
Marouene Chaieb, M. Azzouz, Mokhles Ben Refifa, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109858-109858
Closed Access
MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer’s disease diagnosis
Fei Yan, Lily Peng, Fangyan Dong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108703-108703
Closed Access
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 4
Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
Image and Vision Computing (2024) Vol. 145, pp. 104987-104987
Closed Access | Times Cited: 4
Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging
Hari Mohan, Serhii Dashkevych, Joon Yoo
Mathematics (2024) Vol. 12, Iss. 18, pp. 2808-2808
Open Access | Times Cited: 4
A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111123-111123
Closed Access | Times Cited: 11
Computational model for breast cancer diagnosis using HFSE framework
Deepa Kumari, Pavan Kumar Reddy Yannam, Isha Nilesh Gohel, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105121-105121
Closed Access | Times Cited: 9
Anomaly detection framework for highly scattered and dynamic data on large-scale networks using AWS
Richa Singh, Nidhi Srivastava, Ashwani Kumar
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Cryptographic evidence-based cybersecurity for smart healthcare systems
Hubert Szczepaniuk, Edyta Karolina Szczepaniuk
Information Sciences (2023) Vol. 649, pp. 119633-119633
Open Access | Times Cited: 5
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES
M. N. V. S. S. Kumar, D. Eswara Chaitanya, L. Ganesh, et al.
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 02
Closed Access | Times Cited: 1
Hybrid deep learning enabled breast cancer detection using mammogram images
Sathish Kumar P. J, Sini Shibu, M. Mohan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106310-106310
Closed Access | Times Cited: 1
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