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:
A systematic review on deep learning‐based automated cancer diagnosis models
Ritu Tandon, Shweta Agrawal, Narendra Pal Singh Rathore, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 6
Open Access | Times Cited: 8
Ritu Tandon, Shweta Agrawal, Narendra Pal Singh Rathore, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 6
Open Access | Times Cited: 8
Showing 8 citing articles:
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
A quantitative analysis of artificial intelligence research in cervical cancer: a bibliometric approach utilizing CiteSpace and VOSviewer
Ziqi Zhao, Boqian Hu, Kun Xu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Ziqi Zhao, Boqian Hu, Kun Xu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Automated diagnosis and classification of liver cancers using deep learning techniques: a systematic review
Sarthak Grover, Surbhi Gupta
Deleted Journal (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 2
Sarthak Grover, Surbhi Gupta
Deleted Journal (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 2
Detect the Activity of Benign and Malignant Breast Cancer
Ayu Laela Fitriyani, Muhamad Fatchan, Wahyu Hadikristanto
International Journal of Integrated Science and Technology (2024) Vol. 2, Iss. 5, pp. 484-495
Open Access
Ayu Laela Fitriyani, Muhamad Fatchan, Wahyu Hadikristanto
International Journal of Integrated Science and Technology (2024) Vol. 2, Iss. 5, pp. 484-495
Open Access
A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans
Michele Nguyen
Biomedical Engineering Advances (2024) Vol. 9, pp. 100138-100138
Open Access
Michele Nguyen
Biomedical Engineering Advances (2024) Vol. 9, pp. 100138-100138
Open Access
A commentary on “A CT-based multitask deep learning model for predicting tumor stroma ratio and treatment outcomes in patients with colorectal cancer: a multicenter cohort study”
Wei Cheng, Lili Deng, Wen Liu
International Journal of Surgery (2024)
Open Access
Wei Cheng, Lili Deng, Wen Liu
International Journal of Surgery (2024)
Open Access
