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:

Iodine Maps from Dual-Energy CT to Predict Extrathyroidal Extension and Recurrence in Papillary Thyroid Cancer Based on a Radiomics Approach
Xiao‐Quan Xu, Yan Zhou, G.-Y. Su, et al.
American Journal of Neuroradiology (2022) Vol. 43, Iss. 5, pp. 748-755
Open Access | Times Cited: 14

Showing 14 citing articles:

Dual-Energy CT in Oncologic Imaging
Giovanni Foti, Giorgio Ascenti, Andrea Agostini, et al.
Tomography (2024) Vol. 10, Iss. 3, pp. 299-319
Open Access | Times Cited: 9

Accuracy of Radiomics in the Identification of Extrathyroidal Extension and BRAFV600E Mutations in Papillary Thyroid Carcinoma: A Systematic Review and Meta-analysis
Yan Liu, Ling Xiang, Fei‐Fei Liu, et al.
Academic Radiology (2025) Vol. 32, Iss. 3, pp. 1385-1397
Closed Access

Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma
Weiyuan Zhang, Jin Liu, Wenfeng Jin, et al.
La radiologia medica (2023) Vol. 129, Iss. 2, pp. 252-267
Closed Access | Times Cited: 9

Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound
Liqing Jiang, Shiyan Guo, Yongfeng Zhao, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1734-1734
Open Access | Times Cited: 7

Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancer
Feiwen Feng, Feiyu Jiang, Yuanqing Liu, et al.
European Radiology (2024) Vol. 35, Iss. 1, pp. 105-116
Closed Access | Times Cited: 2

Using a CT-based scale to evaluate disease extension and the resectability of locally advanced thyroid cancer
Naisi Huang, Qiao Li, Xinyi Gao, et al.
European Radiology (2023) Vol. 33, Iss. 12, pp. 9063-9073
Closed Access | Times Cited: 4

Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning
Binqian Zhou, Jianxin Liu, Yaqin Yang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Differentiation of benign and malignant lesions in Bethesda III and IV thyroid nodules via dual-energy computed tomography quantitative parameters and morphologic features
Xiaofang Ren, Zuhua Song, Dan Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 7, pp. 4567-4578
Open Access

Radiomics analysis of dual‐energy CT‐derived iodine maps for differentiating malignant from benign thyroid nodules
Ni Liu, Zengfa Huang, Jun Chen, et al.
Medical Physics (2024) Vol. 52, Iss. 2, pp. 826-836
Closed Access

Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy Computed Tomography (DECT)
Eleonora Bicci, A Finizio, Leonardo Calamandrei, et al.
Tomography (2024) Vol. 10, Iss. 11, pp. 1780-1797
Open Access

Utility of non-contrast Dual Energy Computed Tomography in diagnosis of differentiated thyroid cancer – two case study
Adam Daniel Durma, Marek Saracyn, Arkadiusz Żegadło, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access

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