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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:

CT-based radiomics nomogram for the preoperative prediction of microsatellite instability and clinical outcomes in colorectal cancer: a multicentre study
Ming Li, Gang Xu, Yang Cui, et al.
Clinical Radiology (2023) Vol. 78, Iss. 10, pp. e741-e751
Closed Access | Times Cited: 9

Showing 9 citing articles:

Targeting nucleotide metabolic pathways in colorectal cancer by integrating scRNA-seq, spatial transcriptome, and bulk RNA-seq data
Songyun Zhao, Pengpeng Zhang, Sen Niu, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 2
Open Access | Times Cited: 4
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
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 3
Non-operative management after immune checkpoint inhibitors for early-stage, dMMR/MSI-H gastrointestinal cancers
Roberta Fazio, Alessandro Audisio, Valentina Daprà, et al.
Cancer Treatment Reviews (2024) Vol. 128, pp. 102752-102752
Closed Access | Times Cited: 3
Intratumoral and Peritumoral Radiomics for Predicting the Prognosis of High-grade Serous Ovarian Cancer Patients Receiving Platinum-Based Chemotherapy
Xiaoyu Huang, Yong Huang, Kexin Liu, et al.
Academic Radiology (2024)
Open Access | Times Cited: 2
Application research of radiomics in colorectal cancer: A bibliometric study
Lihong Yang, Binjie Wang, Xiaoying Shi, et al.
Medicine (2024) Vol. 103, Iss. 15, pp. e37827-e37827
Open Access | Times Cited: 2
A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study
Weicui Chen, Kaiyi Zheng, W. L. Yuan, et al.
La radiologia medica (2024)
Closed Access
Research on Predicting PD-L1 Expression Levels in Colorectal Cancer Patients Based on CT Radiomics Features
文亮 李
Advances in Clinical Medicine (2024) Vol. 14, Iss. 12, pp. 158-169
Closed Access
Advances in AI-Enhanced Biomedical Imaging for Cancer Immunology
Willa Wen‐You Yim, Felicia Wee, Zheng Yi Ho, et al.
(2024) Vol. 01
Closed Access
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