Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer
Sheng-wei Lai, Yunlong Fan, Yuhua Zhu, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 18

Showing 18 citing articles:

Machine Learning for Thyroid Cancer Detection, Presence of Metastasis, and Recurrence Predictions—A Scoping Review
Irina-Oana Lixandru-Petre, Alexandru Dima, Mädälina Muşat, et al.
Cancers (2025) Vol. 17, Iss. 8, pp. 1308-1308
Open Access
Prediction model of ipsilateral level II lymph node metastasis in papillary thyroid carcinoma
Koji Ushiro, Ryo Asato, Ryosuke Yamashita, et al.
Auris Nasus Larynx (2025)
Closed Access
Clinical prediction models for cervical lymph node metastasis of papillary thyroid carcinoma
Shuli Luo, Fenghua Lai, Ruiming Liang, et al.
Endocrine (2024) Vol. 84, Iss. 2, pp. 646-655
Open Access | Times Cited: 3
Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer
Lin Chun, Denghuan Wang, Liqiong He, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Artificial intelligence in the diagnosis of thyroid cancer: Recent advances and future directions
Lakshmi Nagendra, Joseph M Pappachan, Cornelius James Fernandez
WArtificial Intelligence in Cancer (2023) Vol. 4, Iss. 1, pp. 1-10
Open Access | Times Cited: 7
Cervical lymph node metastasis prediction of postoperative papillary thyroid carcinoma before 131I therapy based on clinical and ultrasound characteristics
Fei Yu, Wenyu Wu, Liuting Zhang, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 3
Prediction of Cervical Lymph Node Metastasis in Clinically Node-Negative T1 and T2 Papillary Thyroid Carcinoma Using Supervised Machine Learning Approach
Marina Popović, Dragana Šobić-Šaranović, Ljiljana Mijatović Teodorović, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 11, pp. 3641-3641
Open Access | Times Cited: 3
Nomogram for preoperative estimation risk of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multicenter study
Jialin Zhu, Luchen Chang, Dai Li, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
The impact of multifocality on lateral lymph node metastasis in papillary thyroid carcinoma
Peng Li, Wei Jiang, Ying Ding, et al.
European Journal of Surgical Oncology (2023) Vol. 49, Iss. 9, pp. 106944-106944
Closed Access | Times Cited: 3
Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer
Lin Chun, Denghuan Wang, Liqiong He, et al.
Research Square (Research Square) (2024)
Open Access
Beyond the Biopsy: A Comprehensive Machine Learning Based Approach to Thyroid Cancer Staging
Shivam Kumar Bharti, Debolina Ghosh, Mahendra Kumar Gourisaria, et al.
(2024), pp. 846-851
Closed Access
The diagnosis and management of small and indeterminate lymph nodes in papillary thyroid cancer: preoperatively and intraoperatively
Ang Hu, Jiahe Tian, Xinpei Deng, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics
Yan Wang, Shiyong Zhang, Minghui Zhang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access
Preoperative Diagnosis of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
瑜瑜 叶
Advances in Clinical Medicine (2024) Vol. 14, Iss. 12, pp. 1036-1042
Closed Access
Nomogram Model Based on Iodine Nutrition and Clinical Characteristics of Papillary Thyroid Carcinoma to Predict Lateral Lymph Node Metastasis
Junrong Wang, Yuzhang Gao, Yuxuan Zong, et al.
Cancer Control (2023) Vol. 30
Open Access | Times Cited: 1
Clinical Prediction Models for Cervical Lymph Node Metastasis of Papillary Thyroid Carcinoma
Shuli Luo, Fenghua Lai, Ruiming Liang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Comparison of different machine learning models based on ultrasound-based radiomics to predict central lymph node metastasis of papillary thyroid carcinoma
Peng Zhao, Lulu Liang, Xian Fu Wei, et al.
Research Square (Research Square) (2023)
Open Access
Risk factors for cervical ipsilateral lymph node metastasis in papillary thyroid carcinoma
Qiuhui Yang, Hai-guang Ma, Xiangjian Zhang, et al.
Research Square (Research Square) (2023)
Open Access
Enhancing Thyroid Cancer Detection Through Machine Learning Approach
Tran Anh Vu, Ngo Anh Huyen, Hoang Quang Huy, et al.
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS) (2023), pp. 188-193
Closed Access
Prediction of cervical lymph node metastasis in papillary thyroid carcinoma using a machine learning approach
Marina Popović-Krneta, Dragana Šobić-Šaranović, Ljiljana Mijatović-Teodorović
Medicinski podmladak (2023) Vol. 74, Iss. 6, pp. 27-33
Open Access
Page 1

Scroll to top