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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:

Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations
Erica Skerrett, Zichen Miao, Mercy Asiedu, et al.
BME Frontiers (2022) Vol. 2022
Open Access | Times Cited: 12

Showing 12 citing articles:

Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
Nina Youneszade, Mohsen Marjani, Pei Pei Chong
IEEE Access (2023) Vol. 11, pp. 6133-6149
Open Access | Times Cited: 28
A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images
Nina Youneszade, Mohsen Marjani, Sayan Kumar Ray
IEEE Access (2023) Vol. 11, pp. 59882-59898
Open Access | Times Cited: 8
Optical imaging technologies for in vivo cancer detection in low-resource settings
Huayu Hou, Ruchika Mitbander, Yubo Tang, et al.
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100495-100495
Open Access | Times Cited: 7
Multiscale Optical Imaging Fusion for Cervical Precancer Diagnosis: Integrating Widefield Colposcopy and High-Resolution Endomicroscopy
David Brenes, Mila Pontremoli Salcedo, Jackson B. Coole, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 9, pp. 2547-2556
Open Access | Times Cited: 2
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
(2024)
Open Access | Times Cited: 1
Integrating Artificial Intelligence with Smartphone-based Imaging for Cancer Detection in vivo
Bofan Song, Rongguang Liang
Biosensors and Bioelectronics (2024) Vol. 271, pp. 116982-116982
Closed Access | Times Cited: 1
Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images
Zendi Zakaria Raga Permana, Agung W. Setiawan
(2023), pp. 371-376
Closed Access | Times Cited: 2
Automated image clarity detection for the improvement of colposcopy imaging with multiple devices
Lillian Ekem, Erica Skerrett, Megan J. Huchko, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106948-106948
Closed Access
Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders
Hui Yang, Walid Aydi, Nisreen Innab, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Multi-Modal Deep Learning Architecture for Improved Colposcopy Image Classification
Priyadarshini Chatterjee, Shadab Siddiqui
Research Square (Research Square) (2024)
Open Access
Identification of Lacerations Caused by Cervical Cancer through a Comparative Study among Texture-Extraction Techniques
Jorge Aguilar Santiago, José Trinidad Guillen Bonilla, Mario Alberto García-Ramírez, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8292-8292
Open Access | Times Cited: 1
Application of Machine Learning in Bio-Medical Image Analysis
M. Vardhana, Rohan Pinto
(2023), pp. 1-6
Closed Access
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