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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:

An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability
Nurduman Aidossov, Vasilios Zarikas, Yong Zhao, et al.
SN Computer Science (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 15
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
A hybrid lightweight breast cancer classification framework using the histopathological images
Daniel Addo, Shijie Zhou, Kwabena Sarpong, et al.
Journal of Applied Biomedicine (2023) Vol. 44, Iss. 1, pp. 31-54
Closed Access | Times Cited: 19
Deep learning model for detection of hotspots using infrared thermographic images of electrical installations
Ezechukwu Kalu Ukiwe, Steve A. Adeshina, Tsado Jacob, et al.
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
VELM: a voting based ensemble learning model for breast cancer prediction
Archana Singh, Kuldeep Singh Kaswan, Rajani Rajani
Physica Scripta (2025) Vol. 100, Iss. 2, pp. 026002-026002
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
Applications of machine learning and deep learning in medical diagnosis
Shailendra Chouhan, Hemant Khambete, Sanjay Jain
Elsevier eBooks (2025), pp. 47-82
Closed Access
Robust Hybrid Model for Breast Cancer Detection Using Thermal Images and Clinical Data
Alejandro Arana, Jorge Pérez‐Martín, Raquel Sánchez-Cauce
(2025)
Closed Access
Forecasting Breast Cancer with Integrated Pre-trained CNN and Machine Learning Framework from CT Images
Jagendra Singh, Nazeer Shaik, Dinesh Prasad Sahu, et al.
Lecture notes in networks and systems (2025), pp. 455-466
Closed Access
Attention guided grad-CAM : an improved explainable artificial intelligence model for infrared breast cancer detection
Kaushik Raghavan, B. Sivaselvan, V. Kamakoti
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57551-57578
Closed Access | Times Cited: 12
Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases
Yerken Mirasbekov, Nurduman Aidossov, Aigerim Mashekova, et al.
Biomimetics (2024) Vol. 9, Iss. 10, pp. 609-609
Open Access | Times Cited: 4
Breast cancer detection: A comparative review on passive and active thermography
Greeshma Jacob, Iven Jose, S. Sujatha
Infrared Physics & Technology (2023) Vol. 134, pp. 104932-104932
Closed Access | Times Cited: 10
Explainable artificial intelligence for medical imaging: Review and experiments with infrared breast images
Kaushik Raghavan, S. Balasubramanian, V. Kamakoti
Computational Intelligence (2024) Vol. 40, Iss. 3
Closed Access | Times Cited: 3
Real-time thermography for breast cancer detection with deep learning
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Md. Rafiqul Islam
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
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
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
Comparative Study of Artificial Intelligence Models for Breast Cancer Detection
Tanvi Meet Dhruv
Journal of Trends in Computer Science and Smart Technology (2024) Vol. 6, Iss. 1, pp. 18-36
Open Access | Times Cited: 1
A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification
Nguyễn Chí Thành, Le Thi Thu Hong, Doan Quang Tu, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network
Fan Su, Jianqian Chao, Pei Liu, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Redes neuronales aplicadas a la detección y diagnóstico del Cáncer de Mama, una revisión sistemática de la literatura científica de los últimos 5 años
Walter Aviles-Yataco, Brian Meneses-Claudio
Salud Ciencia y Tecnología - Serie de Conferencias (2022) Vol. 1, pp. 3-3
Open Access | Times Cited: 7
An Efficient Cancer Detection Model Using ML and Transfer Learning Techniques
Raja Rao PBV, M. H. M. Krishna Prasad, Pokkuluri Kiran Sree, et al.
(2024), pp. 1-6
Closed Access
FMP: Enhancing 3D Point Cloud Classification with Functional Multi-head Pooling to Surpass PointNet
Zhan Jin, Fan Xu, Zhongyuan Lu, et al.
IEEE Access (2024) Vol. 12, pp. 127931-127942
Open Access
A New Computer Aided Diagnosis for Breast Cancer Detection of Thermograms Using Metaheuristic Algorithms and Explainable AI
Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane
Algorithms (2024) Vol. 17, Iss. 10, pp. 462-462
Open Access
A breast cancer diagnosis naive bayes and reduced error pruning (REP) for infrared thermal image accuracy improvement
M. Thejeshwar, S. Stella Jenifer Isbella
AIP conference proceedings (2024) Vol. 3193, pp. 020113-020113
Closed Access
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