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:
Cervical cancer detection using K nearest neighbor imputer and stacked ensemble learningmodel
Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 6
Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 6
Showing 6 citing articles:
Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection
Mohammad Sakif Alam, Anwar Hossain Efat, SM Mahedy Hasan, et al.
Digital Health (2025) Vol. 11
Open Access
Mohammad Sakif Alam, Anwar Hossain Efat, SM Mahedy Hasan, et al.
Digital Health (2025) Vol. 11
Open Access
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review
Sadikul Islam, Rifat Shahriyar, Abhishek Agarwala, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Sadikul Islam, Rifat Shahriyar, Abhishek Agarwala, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides
Nitin Kumar Chauhan, Krishna Kant Singh, Amit Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Nitin Kumar Chauhan, Krishna Kant Singh, Amit Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare
Nouf Abdullah Almujally, Abdulrahman Alzahrani, A. Hakeem, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Nouf Abdullah Almujally, Abdulrahman Alzahrani, A. Hakeem, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Sonam Gandotra, Yogesh Kumar, Nandini Modi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 1
Sonam Gandotra, Yogesh Kumar, Nandini Modi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 1
Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning‐based techniques
Priyanka Mahajan, Prabhpreet Kaur
Diagnostic Cytopathology (2024) Vol. 52, Iss. 6, pp. 313-324
Closed Access
Priyanka Mahajan, Prabhpreet Kaur
Diagnostic Cytopathology (2024) Vol. 52, Iss. 6, pp. 313-324
Closed Access
A Critical Analysis of Machine Learning and Deep Learning Methods for Cervical Cancer Screening
Muhammad Muhtasim, Mahmudur Rahman, Jakir Khan, et al.
Journal of Computer and Communications (2023) Vol. 11, Iss. 12, pp. 64-85
Open Access
Muhammad Muhtasim, Mahmudur Rahman, Jakir Khan, et al.
Journal of Computer and Communications (2023) Vol. 11, Iss. 12, pp. 64-85
Open Access
