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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:

Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence
Dat Tien Nguyen, Jin Kyu Kang, Tuyen Danh Pham, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1822-1822
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Application of Artificial Intelligence in Medicine: An Overview
Pengran Liu, Lin Lu, Jiayao Zhang, et al.
Current Medical Science (2021) Vol. 41, Iss. 6, pp. 1105-1115
Open Access | Times Cited: 166
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 for Thyroid Nodule Characterization: Where Are We Standing?
Salvatore Sorrenti, Vincenzo Dolcetti, Maija Radziņa, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3357-3357
Open Access | Times Cited: 68
The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update
Maksymilian Ludwig, Bartłomiej Ludwig, Agnieszka Mikuła, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 708-708
Open Access | Times Cited: 34
Multi-channel convolutional neural network architectures for thyroid cancer detection
Xinyu Zhang, Vincent C. S. Lee, Jia Rong, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262128-e0262128
Open Access | Times Cited: 35
Artificial intelligence in thyroid ultrasound
Chun‐Li Cao, Qiaoli Li, Tong Jin, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 21
A Framework for Detecting Thyroid Cancer from Ultrasound and Histopathological Images Using Deep Learning, Meta-Heuristics, and MCDM Algorithms
Rohit Sharma, G. K. Mahanti, Ganapati Panda, et al.
Journal of Imaging (2023) Vol. 9, Iss. 9, pp. 173-173
Open Access | Times Cited: 19
Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis
Weihua Liu, Chaochao Lin, Duanduan Chen, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 244, pp. 107999-107999
Open Access | Times Cited: 6
Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames
Jiahui Chen, Yuqing Zhang, Tiantong Zhu, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 6
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
Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods
Corina Maria Vasile, Ștefan Udriștoiu, Alice Elena Ghenea, et al.
Medicina (2021) Vol. 57, Iss. 4, pp. 395-395
Open Access | Times Cited: 31
Radiomic Detection of Malignancy within Thyroid Nodules Using Ultrasonography—A Systematic Review and Meta-Analysis
Eoin F. Cleere, Matthew G. Davey, Shane O’Neill, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 794-794
Open Access | Times Cited: 20
A predictive nomogram of thyroid nodules based on deep learning ultrasound image analysis
Yuan Li, Ting Li, Kai He, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
Jonghyon Yi, Ho Kyung Kang, Jae-Hyun Kwon, et al.
ULTRASONOGRAPHY (2020) Vol. 40, Iss. 1, pp. 7-22
Open Access | Times Cited: 31
Artificial Intelligence for Classification of Soft-Tissue Masses at US
Benjamin Wang, Laetitia Perronne, Christopher J. Burke, et al.
Radiology Artificial Intelligence (2020) Vol. 3, Iss. 1, pp. e200125-e200125
Open Access | Times Cited: 29
Effective Voting Ensemble of Homogenous Ensembling with Multiple Attribute-Selection Approaches for Improved Identification of Thyroid Disorder
Tehseen Akhtar, Syed Omer Gilani, Zohaib Mushtaq, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 3026-3026
Open Access | Times Cited: 25
Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review
Xian‐Ya Zhang, Wei Qi, Ge-Ge Wu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study
Chen Chen, Yitao Jiang, Jincao Yao, et al.
European Radiology (2023) Vol. 34, Iss. 4, pp. 2323-2333
Closed Access | Times Cited: 10
Deep-GAN: an improved model for thyroid nodule identification and classification
Rajshree Srivastava, Pardeep Kumar
Neural Computing and Applications (2024) Vol. 36, Iss. 14, pp. 7685-7704
Closed Access | Times Cited: 3
Artificial intelligence assisted diagnosis of early tc markers and its application
Laney Zhang, Chinting Wong, Yungeng Li, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models
Dat Tien Nguyen, Min Beom Lee, Tuyen Danh Pham, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 5982-5982
Open Access | Times Cited: 25
A Novel Technique for Detecting Various Thyroid Diseases Using Deep Learning
Soma Prathibha, Deepak Dahiya, C. R. Rene Robin, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 1, pp. 199-214
Open Access | Times Cited: 15
Bilinear Pooling for Thyroid Nodule Classification in Ultrasound Imaging
Noura Aboudi, Hajer Khachnaoui, O. Ben Moussa, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 8, pp. 10563-10573
Closed Access | Times Cited: 9
Quantitative Diagnosis Progress of Ultrasound Imaging Technology in Thyroid Diffuse Diseases
Jing Huang, Jiaqi Zhao
Diagnostics (2023) Vol. 13, Iss. 4, pp. 700-700
Open Access | Times Cited: 8
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
Chunhui Zhang, Yixiong Chen, Li Liu, et al.
Lecture notes in computer science (2023), pp. 3-20
Closed Access | Times Cited: 8
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