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:
Multimodal learning system integrating electronic medical records and hysteroscopic images for reproductive outcome prediction and risk stratification of endometrial injury: a multicenter diagnostic study
Bohan Li, Hui Chen, Xiaona Lin, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 5
Bohan Li, Hui Chen, Xiaona Lin, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 5
Showing 5 citing articles:
Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study
Bohan Li, Hui Chen, Hua Duan
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Bohan Li, Hui Chen, Hua Duan
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Development of a tongue image-based machine learning tool for the diagnosis of acute respiratory tract infection (Preprint)
Qianzi Che, Yuanming Leng, Zhongxia Wang, et al.
(2025)
Closed Access
Qianzi Che, Yuanming Leng, Zhongxia Wang, et al.
(2025)
Closed Access
Artificial intelligence-driven prognostic system for conception prediction and management in intrauterine adhesions following hysteroscopic adhesiolysis: a diagnostic study using hysteroscopic images
Bohan Li, Hui Chen, Hua Duan
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1
Bohan Li, Hui Chen, Hua Duan
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1
Improving early detection of preeclampsia in prenatal care through predictive modelling
Keyan Jin
American Journal of Obstetrics and Gynecology (2024)
Closed Access | Times Cited: 1
Keyan Jin
American Journal of Obstetrics and Gynecology (2024)
Closed Access | Times Cited: 1
Development and Validation of Multiparametric MRI-based Interpretable Deep Learning Radiomics Fusion Model for Predicting Lymph Node Metastasis and Prognosis in Rectal Cancer: A Two-center Study
Yunjun Yang, Kyunghwa Han, Zhenyu Xu, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Yunjun Yang, Kyunghwa Han, Zhenyu Xu, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
