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.

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Showing 15 citing articles:

MRI‐Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges
Tianyi Xia, Ben Y. Zhao, Binrong Li, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 3, pp. 767-783
Open Access | Times Cited: 35

Radiomic analysis based on magnetic resonance imaging for the prediction of VEGF expression in hepatocellular carcinoma patients
Cui Yang, Zeming Zhang, Zhang-Ping Zhao, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 11, pp. 3824-3833
Open Access | Times Cited: 4

A Nomogram Based on MRI Visual Decision Tree to Evaluate Vascular Endothelial Growth Factor in Hepatocellular Carcinoma
H. Dai, Chuan Yan, Wanrong Huang, et al.
Journal of Magnetic Resonance Imaging (2024) Vol. 61, Iss. 2, pp. 970-982
Open Access | Times Cited: 4

Advances in imaging techniques for tumor microenvironment evaluation in hepatocellular carcinoma
Lili Wang, Fa-Chang Zhang, Hualin Xu, et al.
World Journal of Gastroenterology (2025) Vol. 31, Iss. 10
Closed Access

Current applications of radiomics in the assessment of tumor microenvironment of hepatocellular carcinoma
Jung-Hwa Choi, Andrew C. Gordon, Aydιn Eresen, et al.
Abdominal Radiology (2025)
Closed Access

Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma
Jingwei Wei, Hanyu Jiang, Yu Zhou, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 7, pp. 833-847
Closed Access | Times Cited: 9

Oral exosome-like nanovesicles from Phellinus linteus suppress metastatic hepatocellular carcinoma by reactive oxygen species generation and microbiota rebalancing
Menghang Zu, Ga Liu, Nanxi Chen, et al.
Nanoscale (2024) Vol. 16, Iss. 16, pp. 8046-8059
Closed Access | Times Cited: 3

Leveraging radiomics and AI for precision diagnosis and prognostication of liver malignancies
Maryam Haghshomar, Darren Rodrigues, Aparna Kalyan, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3

Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score
Valentina Brancato, Marco Cerrone, Nunzia Garbino, et al.
World Journal of Gastroenterology (2024) Vol. 30, Iss. 4, pp. 381-417
Open Access | Times Cited: 2

Radiomics predicting immunohistochemical markers in primary hepatic carcinoma: current status and challenges
Zhibin Huang, Wei Zhang, Yanhui Chen, et al.
Heliyon (2024) Vol. 10, Iss. 23, pp. e40588-e40588
Open Access | Times Cited: 1

Radiomics Based on Contrast-Enhanced CT for Recognizing c-Met-Positive Hepatocellular Carcinoma: a Noninvasive Approach to Predict the Outcome of Sorafenib Resistance
Jingxiao Gu, Shanlei Bao, Reaoxian Akemuhan, et al.
Molecular Imaging and Biology (2023) Vol. 25, Iss. 6, pp. 1073-1083
Open Access | Times Cited: 3

Editorial for “A Nomogram Based on MRI Visual Decision Tree to Evaluate Vascular Endothelial Growth Factor in Hepatocellular Carcinoma”
Felix Busch, Lena Hoffmann, Lisa C. Adams
Journal of Magnetic Resonance Imaging (2024)
Closed Access

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