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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:

Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer
Xiaoli Song, Hong-Jian Luo, Jialiang Ren, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 242-251
Closed Access | Times Cited: 15

Showing 15 citing articles:

Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer
Zhichao Wang, Yan Hu, Jun Cai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Diagnostic performance of radiomics models for preoperative prediction of microsatellite instability status in endometrial cancer: a systematic review and meta-analysis
Nima Broomand Lomer, A.M.E. Nouri, Roshan Kumar Singh, et al.
Abdominal Radiology (2025)
Closed Access | Times Cited: 1
Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study
Yaju Jia, Lina Hou, Jintao Zhao, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 6
Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6
Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI
Takashi Ota, Takahiro Tsuboyama, Hiromitsu Onishi, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 629-643
Closed Access | Times Cited: 12
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools
Luca Russo, Silvia Bottazzi, Burak Koçak, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 202-214
Open Access | Times Cited: 4
Prediction of a radiomics-based nomogram for complete remission in atypical endometrial hyperplasia and early endometrial cancer patients seeking fertility preservation
Ruiqi Wang, Jingyuan Wang, Yuman Wu, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109764-109764
Open Access
Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer
Zhuang Li, Yi Su, Yongbin Cui, et al.
Precision Radiation Oncology (2025)
Open Access
The value of multi-sequence magnetic resonance imaging and whole-tumor apparent diffusion coefficient histogram analysis in differentiating p53 abnormal from non-p53 abnormal endometrial carcinoma
Yuying Sun, Jieying Zhang, Yilin Wang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer
Jing Wang, Pujiao Song, Meng Zhang, et al.
Cancer Medicine (2024) Vol. 13, Iss. 16
Open Access | Times Cited: 3
Identification of Radiomic Signatures in Brain MRI Sequences T1 and T2 That Differentiate Tumor Regions of Midline Gliomas with H3.3K27M Mutation
Maria-Fatima Chilaca-Rosas, Manuel-Tadeo Contreras-Aguilar, Melissa Garcia-Lezama, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2669-2669
Open Access | Times Cited: 5
MRI-based radiomics model for predicting endometrial cancer with high tumor mutation burden
Xuxu Meng, Dawei Yang, He Jin, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
Artificial Intelligence in Obstetric and Gynecological MR Imaging
Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Associations between MRI radiomic phenotypes and clinical outcomes in endometrial cancer: Implications for preoperative risk stratification
Xiaoting Jiang, Weiling Zhai, Jiacheng Song, et al.
Magnetic Resonance Imaging (2024), pp. 110298-110298
Closed Access | Times Cited: 1
Radiogenomic profiling of global DNA methylation associated with molecular phenotypes and immune features in glioma
Zhuokai Zhuang, Jinxin Lin, Zixiao Wan, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access
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