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:

Discriminating Between Benign and Malignant Solid Ovarian Tumors Based on Clinical and Radiomic Features of MRI
Yuemei Zheng, Hong Wang, Qiong Li, et al.
Academic Radiology (2022) Vol. 30, Iss. 5, pp. 814-822
Closed Access | Times Cited: 12

Showing 12 citing articles:

Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis
He-Li Xu, Tingting Gong, Fang-Hua Liu, et al.
EClinicalMedicine (2022) Vol. 53, pp. 101662-101662
Open Access | Times Cited: 78

A systematic review and meta-analysis of CT and MRI radiomics in ovarian cancer: methodological issues and clinical utility
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 16

Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers
Sepideh Hatamikia, Stéphanie Nougaret, Camilla Panico, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 15

Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)
Amir Reza Naderi Yaghouti, Ahmad Shalbaf, Roohallah Alizadehsani, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access

Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 3

Leveraging Artificial Intelligence to Revolutionize Ovarian Cancer Diagnosis
Aydιn Eresen
Academic Radiology (2024) Vol. 31, Iss. 6, pp. 2402-2404
Closed Access | Times Cited: 2

New Trends in Ovarian Cancer Diagnosis Using Deep Learning: A Systematic Review
Mohamed El-Khatib, Dan Popescu, Oana Mihaela Teodor, et al.
IEEE Access (2024) Vol. 12, pp. 116587-116608
Open Access | Times Cited: 1

A CT-based radiomics nomogram for differentiating ovarian cystadenomas and endometriotic cysts
Junjie Li, Fang Wang, Jinli Ma, et al.
Clinical Radiology (2023) Vol. 78, Iss. 9, pp. e635-e643
Open Access | Times Cited: 3

CT-based radiomic analysis for categorization of ovarian sex cord-stromal tumors and epithelial ovarian cancers
Yu Liu, Xin Zheng, Dongdong Fan, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 11, pp. 4131-4139
Closed Access

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