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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:

Thyroid nodules: diagnostic evaluation based on thyroid cancer risk assessment
Naykky Singh Ospina, Nicole M. Iñiguez‐Ariza, M. Regina Castro
BMJ (2020), pp. l6670-l6670
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate
Chong‐Ke Zhao, Tiantian Ren, Yifei Yin, et al.
Thyroid (2020) Vol. 31, Iss. 3, pp. 470-481
Closed Access | Times Cited: 77
Thyroid Nodule Evaluation and Management in Older Adults: A Review of Practical Considerations for Clinical Endocrinologists
Naykky Singh Ospina, Maria Papaleontiou
Endocrine Practice (2021) Vol. 27, Iss. 3, pp. 261-268
Open Access | Times Cited: 47
Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
Yinghe Lin, Shuiqing Lai, Peiqing Wang, et al.
European Radiology (2022) Vol. 32, Iss. 6, pp. 3617-3630
Open Access | Times Cited: 31
Artificial intelligence–based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT
Cai Wang, Pengyi Yu, Haicheng Zhang, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 6828-6840
Closed Access | Times Cited: 21
Ultrasound Image Classification of Thyroid Nodules Using Machine Learning Techniques
Vijay Vyas Vadhiraj, Andrew J. Simpkin, James O’Connell, et al.
Medicina (2021) Vol. 57, Iss. 6, pp. 527-527
Open Access | Times Cited: 37
Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data
Zhong Liu, Shaobin Zhong, Qiang Liu, et al.
European Radiology (2021) Vol. 31, Iss. 7, pp. 5001-5011
Closed Access | Times Cited: 36
Stratification of follicular thyroid tumours using data‐independent acquisition proteomics and a comprehensive thyroid tissue spectral library
Yaoting Sun, Li Lü, Yan Zhou, et al.
Molecular Oncology (2022) Vol. 16, Iss. 8, pp. 1611-1624
Open Access | Times Cited: 27
Combining real-time elastography with fine-needle aspiration biopsy to identify malignant thyroid nodules
Lei Zhu, Yanyan Chen, Huijun Ai, et al.
Journal of International Medical Research (2020) Vol. 48, Iss. 12, pp. 030006052097602-030006052097602
Open Access | Times Cited: 35
A Comparative Study of Two Radiomics-Based Blood Flow Modes with Thyroid Imaging Reporting and Data System in Predicting Malignancy of Thyroid Nodules and Reducing Unnecessary Fine-Needle Aspiration Rate
Jia‐Yu Ren, Jianjun Lin, Wenzhi Lv, et al.
Academic Radiology (2024) Vol. 31, Iss. 7, pp. 2739-2752
Closed Access | Times Cited: 4
Natural History and Long Term Follow-Up of Incidental Thyroid Nodules on Computed Tomography Imaging
Eda Lyuman, Claire McArthur
British Journal of Radiology (2025)
Closed Access
Development of a Nomogram to Integrate Molecular Testing and Clinical Variables to Improve Malignancy Risk Assessment Among Cytologically Indeterminate Thyroid Nodules
J. Wu, Paul Stewardson, Markus Eszlinger, et al.
Thyroid (2025)
Closed Access
Coagulation and thyroiditis are factors associated with adverse pathological features in differentiated thyroid cancer: a retrospective cohort study
Xiaohong Chen, Hanyu Wang, Lu Yu, et al.
BMC Surgery (2025) Vol. 25, Iss. 1
Open Access
Differential diagnosis of thyroid nodules by DCE-MRI based on compressed sensing volumetric interpolated breath-hold examination: A feasibility study
Junhao Huang, Daihong Liu, Jiao Chen, et al.
Magnetic Resonance Imaging (2024) Vol. 111, pp. 138-147
Closed Access | Times Cited: 3
Galectin-3 Inhibitors Suppress Anoikis Resistance and Invasive Capacity in Thyroid Cancer Cells
Jie-Jen Lee, Yi‐Chiung Hsu, Ying-Syuan Li, et al.
International Journal of Endocrinology (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 21
Diagnosis of Thyroid Nodules Based on Image Enhancement and Deep Neural Networks
Xuesi Ma, Li Na Zhang
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 15
Thyroid disease: Using diagnostic tools effectively
Emma E. Croker, Shaun McGrath, Christopher W. Rowe
Australian Journal of General Practice (2021) Vol. 50, Iss. 1-2, pp. 16-21
Open Access | Times Cited: 18
A supervised case-based reasoning approach for explainable thyroid nodule diagnosis
Che Xu, Weiyong Liu, Yushu Chen, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109200-109200
Closed Access | Times Cited: 13
Identifying and Predicting Diverse Patterns of Benign Nodule Growth
Pingping Xiang, Sara Ahmadi, Alexandra Coleman, et al.
The Journal of Clinical Endocrinology & Metabolism (2023) Vol. 108, Iss. 7, pp. e458-e463
Closed Access | Times Cited: 7
Customized fluorescent probe for peering into the expression of butyrylcholinesterase in thyroid cancer
W.P. Kang, Mo Ma, Lanlan Xu, et al.
Analytica Chimica Acta (2023) Vol. 1282, pp. 341932-341932
Closed Access | Times Cited: 7
Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework
Yifei Xie, Zhengfei Yang, Qiyu Yang, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2
Diagnostic Accuracy of Fine-Needle Aspiration Cytology (FNAC) in Thyroid Nodule Excision Cases
Rajab A Alzahrani, Ali G Alghamdi
Cureus (2024)
Open Access | Times Cited: 2
The evolving process of ferroptosis in thyroid cancer: Novel mechanisms and opportunities
Lin Yin, Xiaodan Luo, Xian Zhang, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 16
Open Access | Times Cited: 2
Annexin A10 is a novel prognostic biomarker of papillary thyroid cancer
Xiaoyun Liu, Meijing Yang, Yang Guo, et al.
Irish Journal of Medical Science (1971 -) (2020) Vol. 190, Iss. 1, pp. 59-65
Closed Access | Times Cited: 18
Incorporation of a Machine Learning Algorithm With Object Detection Within the Thyroid Imaging Reporting and Data System Improves the Diagnosis of Genetic Risk
Shuo Wang, Jiajun Xu, Aylin Tahmasebi, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 18
SFE-AFCE-SFMN 2022 Consensus on the management of thyroid nodules: Initial work-up for thyroid nodules
Christine Do Cao, Magalie Haissaguerre, Charlotte Lussey‐Lepoutre, et al.
Annales d Endocrinologie (2022) Vol. 83, Iss. 6, pp. 380-388
Closed Access | Times Cited: 10
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