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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:

Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer
Ran Wei, Hao Wang, Lanyun Wang, et al.
BMC Medical Imaging (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar, et al.
Systems (2023) Vol. 11, Iss. 10, pp. 519-519
Open Access | Times Cited: 46
Artificial Intelligence in Thyroid Field—A Comprehensive Review
Fabiano Bini, Andrada Pica, Laura Azzimonti, et al.
Cancers (2021) Vol. 13, Iss. 19, pp. 4740-4740
Open Access | Times Cited: 54
Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations
Yuan Cao, Xiao Zhong, Wei Diao, et al.
Cancers (2021) Vol. 13, Iss. 10, pp. 2436-2436
Open Access | Times Cited: 39
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 Advances in the Diagnosis of Thyroid Disease
雅茹 杨
Advances in Clinical Medicine (2025) Vol. 15, Iss. 03, pp. 1313-1322
Closed Access
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
A study of machine learning models for rapid intraoperative diagnosis of thyroid nodules for clinical practice in China
Yan Ma, Xiuming Zhang, Zhongliang Yi, et al.
Cancer Medicine (2024) Vol. 13, Iss. 3
Open Access | Times Cited: 2
Role of advanced MRI sequences for thyroid lesions assessment. A narrative review
Teodoro Martín‐Noguerol, Eloísa Santos‐Armentia, José Fernandez-Palomino, et al.
European Journal of Radiology (2024) Vol. 176, pp. 111499-111499
Closed Access | Times Cited: 2
Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI
Bin Song, Tingting Zheng, Hao Wang, et al.
Deleted Journal (2024)
Open Access | Times Cited: 1
Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging
Ahmed Sharafeldeen, Mohamed Elsharkawy, Ahmed Shaffie, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022), pp. 4365-4370
Closed Access | Times Cited: 5
Preoperative prediction of extrathyroidal extension: radiomics signature based on multimodal ultrasound to papillary thyroid carcinoma
Fang Wan, Wen He, Wei Zhang, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Three-dimensional ultrasound-based radiomics nomogram for the prediction of extrathyroidal extension features in papillary thyroid cancer
Wenjie Lu, Lin Mao, Jin Li, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
An IoT and Deep Learning-Based Smart Healthcare Framework for Thyroid Cancer Detection
Rohit Sharma, G. K. Mahanti, Chinmay Chakraborty, et al.
ACM Transactions on Internet Technology (2023)
Open Access | Times Cited: 2
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning
Ahmed Sharafeldeen, Hossam Magdy Balaha, Ali Mahmoud, et al.
Lecture notes in computer science (2024), pp. 438-452
Closed Access
Non-invasive Imaging Biomarkers of Thyroid Nodules with Indeterminate Cytology
Wyanne A. Noortman, Elizabeth J. de Koster, Floris H. P. van Velden, et al.
Springer eBooks (2023), pp. 63-91
Closed Access | Times Cited: 1
AIM in Otolaryngology and Head and Neck Surgery
Manish M. George, Neil Tolley
Artificial Intelligence in Medicine (2022), pp. 983-1001
Closed Access | Times Cited: 1
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features
Ka'Toria Leitch, Martin Halicek, Maysam Shahedi, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2022), pp. 98-98
Open Access | Times Cited: 1
Radiomics Based on Two-Dimensional and Three-Dimensional Ultrasound for Extrathyroidal Extension Feature Prediction in Papillary Thyroid Carcinoma
Wencong Lu, Yuteng Qiu, Yuping Wu, et al.
Acta Endocrinologica (Bucharest) (2022) Vol. 18, Iss. 4, pp. 407-416
Open Access | Times Cited: 1
Multiparametric magnetic resonance imaging in preoperative assessment of follicular thyroid neoplasm
Bin Song, Tingting Zheng, Hao Wang, et al.
Research Square (Research Square) (2023)
Open Access
AIM in Otolaryngology and Head & Neck Surgery
Manish M. George, Neil Tolley
Artificial Intelligence in Medicine (2021), pp. 1-19
Closed Access
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