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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 CNN-based methodology for breast cancer diagnosis using thermal images
Juan Zuluaga-Gómez, Zeina Al Masry, Khaled Benaggoune, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2020) Vol. 9, Iss. 2, pp. 131-145
Open Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

Analysis of Convolutional Neural Network based Image Classification Techniques
Milan Tripathi
Journal of Innovative Image Processing (2021) Vol. 3, Iss. 2, pp. 100-117
Open Access | Times Cited: 237
IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning
Shahan Yamin Siddiqui, Amir Haider, Taher M. Ghazal, et al.
IEEE Access (2021) Vol. 9, pp. 146478-146491
Open Access | Times Cited: 192
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 169
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
Deep learning model for fully automated breast cancer detection system from thermograms
Esraa Mohamed, Essam A. Rashed, Tarek Gaber, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262349-e0262349
Open Access | Times Cited: 78
Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques
Ameera Jaradat, Rabia Emhamed Al Mamlook, Naif Almakayeel, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4422-4422
Open Access | Times Cited: 67
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Rishav Pramanik, Payel Pramanik, Ram Sarkar
Expert Systems with Applications (2023) Vol. 219, pp. 119643-119643
Closed Access | Times Cited: 51
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
Automatic Detection of White Blood Cancer From Bone Marrow Microscopic Images Using Convolutional Neural Networks
Deepika Kumar, Nikita Jain, Aayush Khurana, et al.
IEEE Access (2020) Vol. 8, pp. 142521-142531
Open Access | Times Cited: 130
A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer Detection
Roslidar Roslidar, Aulia Rahman, Rusdha Muharar, et al.
IEEE Access (2020) Vol. 8, pp. 116176-116194
Open Access | Times Cited: 113
Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Teddy Surya Gunawan, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 333-348
Open Access | Times Cited: 82
A Systematic Review of Breast Cancer Detection Using Thermography and Neural Networks
Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Shihab A. Hameed, et al.
IEEE Access (2020) Vol. 8, pp. 208922-208937
Open Access | Times Cited: 75
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59
Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model
Subhrajit Dey, Rajarshi Roychoudhury, Samir Malakar, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 7, pp. 9331-9349
Open Access | Times Cited: 50
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Soner ÇİVİLİBAL, Kerim Kürşat Çevi̇k, Ahmet Bozkurt
Expert Systems with Applications (2022) Vol. 212, pp. 118774-118774
Closed Access | Times Cited: 40
PSOWNNs-CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
Ashkan Nomani, Yasaman Ansari, Mohammad Hossein Nasirpour, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 39
A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 38
A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer
Hossam Magdy Balaha, Esraa Raffik Antar, Mahmoud M. Saafan, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 6, pp. 7897-7917
Open Access | Times Cited: 33
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
Breast Cancer Detection in Mammography Images: A CNN-Based Approach with Feature Selection
Zahra Jafari, Ebrahim Karami
Information (2023) Vol. 14, Iss. 7, pp. 410-410
Open Access | Times Cited: 27
Digital infrared thermal imaging system based breast cancer diagnosis using 4D U-Net segmentation
P. Gomathi, C. Muniraj, P.S. Periasamy
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104792-104792
Closed Access | Times Cited: 23
Evaluation of Integrated CNN, Transfer Learning, and BN with Thermography for Breast Cancer Detection
Nurduman Aidossov, Vasilios Zarikas, Aigerim Mashekova, et al.
Applied Sciences (2023) Vol. 13, Iss. 1, pp. 600-600
Open Access | Times Cited: 22
Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm
Marwa M. Emam, Essam H. Houssein, Nagwan Abdel Samee, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124581-124581
Closed Access | Times Cited: 13
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2031-e2031
Open Access | Times Cited: 8
Thermal Imaging - An Emerging Modality for Breast Cancer Detection: A Comprehensive Review
Aayesha Hakim, R. N. Awale
Journal of Medical Systems (2020) Vol. 44, Iss. 8
Closed Access | Times Cited: 64
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