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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:

Privacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images
Shtwai Alsubai, Abdullah Alqahtani, Mohemmed Sha, et al.
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Enhancing cervical cancer detection and robust classification through a fusion of deep learning models
Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
CerviLearnNet: Advancing cervical cancer diagnosis with reinforcement learning-enhanced convolutional networks
Shakhnoza Muksimova, Sabina Umirzakova, Seung‐Baik Kang, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29913-e29913
Open Access | Times Cited: 14
Novelty Classification Model Use in Reinforcement Learning for Cervical Cancer
Shakhnoza Muksimova, Sabina Umirzakova, Khusanboy Shoraimov, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3782-3782
Open Access | Times Cited: 5
Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines
Emmanuel Ahishakiye, Fredrick Kanobe
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 4
RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification
Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 364-364
Open Access
Improved CervicalNet: integrating attention mechanisms and graph convolutions for cervical cancer segmentation
K. Abinaya, B. Sivakumar
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
A systematic review on deep learning based methods for cervical cell image analysis
Ming Fang, Bo Liao, Xiujuan Lei, et al.
Neurocomputing (2024), pp. 128630-128630
Open Access | Times Cited: 2
A lightweight deep learning method to identify different types of cervical cancer
Md Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification
Manal Abdullah Alohali, Nora El-Rashidy, Saad Alaklabi, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
UAV-Based Secure Data Communication: Multilevel Authentication Perspective
Abdullah Aljumah
Sensors (2024) Vol. 24, Iss. 3, pp. 996-996
Open Access | Times Cited: 1
Explainable Screening and Classification of Cervical Cancer Cells with Enhanced ResNet-50 and LIME
Baddireddi Sree Chandana, Chakrika Kommana, G Sethu Madhav, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Cervical Net: An Effective Convolution Neural Network for Five-class Classification of Cervical Cells
Vatsala Anand, Prabhnoor Bachhal
(2024), pp. 51-55
Closed Access | Times Cited: 1
Application of artificial intelligence in cervical cancer screening: Enhancing accuracy and reducing misdiagnosis
Qingzhi Yang, Muxing Xie, Mingxiang Yuan, et al.
Journal of Clinical Nursing (2024)
Open Access | Times Cited: 1
Enhancing advanced cervical cell categorization with cluster-based intelligent systems by a novel integrated CNN approach with skip mechanisms and GAN-based augmentation
Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
MobileNetV2 Based Cervical Cancer Classification Using Pap Smear Images
Tasnim Ahsan Prome, Tasnia Jasim Tahiti
(2024), pp. 1-7
Closed Access
Classification of Cervical Cancer using Convolutional Neural Networks
Sarah Amer Al-asbaily, Salwa Almoshity, Salema Younus, et al.
(2024), pp. 735-739
Closed Access
CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification
Luca Zammataro
F1000Research (2024) Vol. 13, pp. 897-897
Open Access
Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology
M. Rodríguez, Claudio Córdova, Isabel Benjumeda, et al.
Computation (2024) Vol. 12, Iss. 12, pp. 232-232
Open Access
Performance of artificial intelligence for diagnosing cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis
Lei Liu, Jiangang Liu, Qing Su, et al.
EClinicalMedicine (2024) Vol. 80, pp. 102992-102992
Closed Access
A CONCISE REVIEW FOR EXPLORING DEEP LEARNING'S POTENTIAL IN CERVICAL CANCER PREDICTION FROM MEDICAL IMAGES
J Mythili
International Journal of Advanced Research in Computer Science (2024) Vol. 15, Iss. 6, pp. 28-36
Closed Access
Neural Network to detect Cervical Cancer early using Pap smears Images
Mithlesh Arya, Praveen Kumar Yadav, A. C. JAIN, et al.
(2024), pp. 324-329
Closed Access
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