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:
Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists
Aiyuan Wu, Peng Xue, Guzhalinuer Abulizi, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 9
Aiyuan Wu, Peng Xue, Guzhalinuer Abulizi, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 9
Showing 9 citing articles:
Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Yung‐Taek Ouh, Tae Jin Kim, Woong Ju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Yung‐Taek Ouh, Tae Jin Kim, Woong Ju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 189026-189026
Open Access | Times Cited: 9
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 189026-189026
Open Access | Times Cited: 9
A segmentation model to detect cevical lesions based on machine learning of colposcopic images
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 5
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 5
Evaluation of AI-assisted colposcopy for detecting high-risk subtypes of human papillomavirus in CIN2
Takayuki Takahashi, Hikaru Matsuoka, Yusuke Kobayashi, et al.
European Journal of Gynaecological Oncology (2024) Vol. 45, Iss. 1, pp. 143-143
Open Access
Takayuki Takahashi, Hikaru Matsuoka, Yusuke Kobayashi, et al.
European Journal of Gynaecological Oncology (2024) Vol. 45, Iss. 1, pp. 143-143
Open Access
Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges
Miriam Dellino, Marco Cerbone, Antonio d’Amati, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2984-3000
Open Access
Miriam Dellino, Marco Cerbone, Antonio d’Amati, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2984-3000
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
Lei Liu, Jiangang Liu, Qing Su, et al.
EClinicalMedicine (2024) Vol. 80, pp. 102992-102992
Closed Access
Application options of the artificial intelligence in colposcopy within screening programs
V.A. Ter-Minasyan
P A Herzen Journal of Oncology (2024) Vol. 13, Iss. 4, pp. 66-66
Closed Access
V.A. Ter-Minasyan
P A Herzen Journal of Oncology (2024) Vol. 13, Iss. 4, pp. 66-66
Closed Access
Cervical screening and artificial intelligence
А.В. Казакова, Svetlana M. Chechko, Е. Ф. Кира, et al.
Science and Innovations in Medicine (2024)
Open Access
А.В. Казакова, Svetlana M. Chechko, Е. Ф. Кира, et al.
Science and Innovations in Medicine (2024)
Open Access
Методология и эффективность скрининга рака шейки матки в мировой практике
В. А. Тер-Минасян
Armenian Journal of Health & Medical Sciences (2023), pp. 36-54
Closed Access
В. А. Тер-Минасян
Armenian Journal of Health & Medical Sciences (2023), pp. 36-54
Closed Access
