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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:

Machine learning on thyroid disease: a review
Kwang‐Sig Lee, Hyuntae Park
Frontiers in Bioscience-Landmark (2022) Vol. 27, Iss. 3, pp. 0101-0101
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

The progress of radiomics in thyroid nodules
XiaoFan Gao, Xuan Ran, Wei Ding
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 16
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
Long noncoding RNA FAM111A-DT promotes aggressiveness of papillary thyroid cancer via activating NF-κB signaling
Junxin Chen, Yue Chen, Rong Huang, et al.
Journal of Endocrinological Investigation (2025)
Closed Access
Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis
You Ao, Qing Lan, Ting Yu, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317364-e0317364
Open Access
Prediction of Thyroid Disease Using Machine Learning Models
N. Krishnamoorthy, V. Kumar, Brennig James
Advances in healthcare information systems and administration book series (2025), pp. 323-340
Closed Access
Clinical study of the diagnosis of thyroid tumours using Raman spectroscopy
Qingjian He, Lianjin Qin, Yongqiang Yao, et al.
Brazilian Journal of Otorhinolaryngology (2025) Vol. 91, Iss. 3, pp. 101568-101568
Closed Access
Prediction of longitudinal clinical outcomes after acute myocardial infarction using a dynamic machine learning algorithm
Joo Hee Jeong, Kwang‐Sig Lee, Seong‐Mi Park, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 3
Analysis and interpretability of machine learning models to classify thyroid disease
Sumya Akter, Hossen Asiful Mustafa
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0300670-e0300670
Open Access | Times Cited: 3
From sequencing to validation: NGS-based exploration of plasma miRNA in papillary thyroid carcinoma
W. Cui, Xuan Tao, Tian Liao, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Integrated bioinformatics and machine learning algorithms reveal the critical cellular senescence-associated genes and immune infiltration in heart failure due to ischemic cardiomyopathy
Guo Ling, Chong-En Xu
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 9
Long Non-Coding RNA LOC339059 Attenuates IL-6/STAT3-Signaling-Mediated PDL1 Expression and Macrophage M2 Polarization by Interacting with c-Myc in Gastric Cancer
Haibo Han, Guangyu Ding, Shanshan Wang, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5313-5313
Open Access | Times Cited: 9
Multi-Omics and Management of Follicular Carcinoma of the Thyroid
Thifhelimbilu Emmanuel Luvhengo, I Bombil, Arian Mokhtari, et al.
Biomedicines (2023) Vol. 11, Iss. 4, pp. 1217-1217
Open Access | Times Cited: 7
Deciphering the endometrial immune landscape of RIF during the window of implantation from cellular senescence by integrated bioinformatics analysis and machine learning
Xiaoxuan Zhao, Yang Zhao, Yuepeng Jiang, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 12
Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study
Jung Soo Park, Kwang‐Sig Lee, Ju Sun Heo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Generating a multimodal artificial intelligence model to differentiate benign and malignant follicular neoplasms of the thyroid: A proof-of-concept study
Ann Lin, Zelong Liu, Justine Lee, et al.
Surgery (2023) Vol. 175, Iss. 1, pp. 121-127
Closed Access | Times Cited: 5
NT5E DNA methylation in papillary thyroid cancer: Novel opportunities for precision oncology
Ana Paula Santin Bertoni, Cleiton Felipe Valandro, Rafael Ávila Brasil, et al.
Molecular and Cellular Endocrinology (2023) Vol. 570, pp. 111915-111915
Closed Access | Times Cited: 4
Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear
Bo Yu, Peng Yin, Hechang Chen, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110721-110721
Open Access | Times Cited: 4
Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review
Dhekre Saber Saleh, Mohd Shahizan Othman
Baghdad Science Journal (2023) Vol. 21, Iss. 3, pp. 1119-1119
Open Access | Times Cited: 4
Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring
Seung‐Woo Yang, Kwang‐Sig Lee, Ju Sun Heo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis
Guoqi Dong, Hui Gao, Yingqi Chen, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3
A cuproptosis-related LncRNA signature: Integrated analysis associated with biochemical recurrence and immune landscape in prostate cancer
Lei Ren, Xu Yang, Weifeng Wang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 2
Thyroid Hormones Parameter-Based Classification of Patient Health Status: An Analysis of Machine Learning Techniques
Zoja Šćekić, Luka Filipović, Ivana Katnić, et al.
IFMBE proceedings (2024), pp. 613-619
Closed Access
Prepregnancy and prenatal risk factors for the neurodevelopmental delay of offspring: Machine learning analysis using national health insurance claims data
Seung‐Woo Yang, Kwang‐Sig Lee, Ju Sun Heo, et al.
Research Square (Research Square) (2024)
Open Access
Analyzing the Role of Time Series Analysis in Early Diagnosis of Papillary Thyroid Carcinoma
Kul Bhushan Anand, Mir Aadil, Sheryl Gupta
(2024), pp. 1-6
Closed Access
Potential Role of Selected miRNAs in the Pathogenesis of Autoimmune Thyroid Diseases in Children and Adolescents
Beata Sawicka, Anetta Sulewska, Agnieszka Kulczynska‐Przybik, et al.
Biomedicines (2024) Vol. 12, Iss. 4, pp. 731-731
Open Access
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