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:

Prediction of lung metastases in thyroid cancer using machine learning based on SEER database
Wenfei Liu, Shoufei Wang, Ziheng Ye, et al.
Cancer Medicine (2022) Vol. 11, Iss. 12, pp. 2503-2515
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 40
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices
Xiuliang Guan, Yue Du, Rufei Ma, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 29
Artificial Intelligence in Thyroidology: A Narrative Review of the Current Applications, Associated Challenges, and Future Directions
David Toro-Tobón, Ricardo Loor-Torres, Mayra Durán, et al.
Thyroid (2023) Vol. 33, Iss. 8, pp. 903-917
Closed Access | Times Cited: 28
Cancer Metastasis Prediction and Genomic Biomarker Identification through Machine Learning and eXplainable Artificial Intelligence in Breast Cancer Research
Burak Yagin, Fatma Hilal Yağın, Cemil Çolak, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3314-3314
Open Access | Times Cited: 21
Machine learning for predicting liver and/or lung metastasis in colorectal cancer: A retrospective study based on the SEER database
Zhentian Guo, Zongming Zhang, Limin Liu, et al.
European Journal of Surgical Oncology (2024) Vol. 50, Iss. 7, pp. 108362-108362
Closed Access | Times Cited: 7
Identification of the Recurrence of Differentiated Thyroid Cancer by Stacking Classifier
Sulekha Das, Avijit Kumar Chaudhuri, Nobhonil Roy Choudhury, et al.
Research Square (Research Square) (2025)
Closed Access
Comparing imputation approaches to handle systematically missing inputs in risk calculators
Anja Mühlemann, Philip Stange, Anita Faul, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000712-e0000712
Open Access
Machine learning-based identification of high-risk bone metastasis factors after radical prostatectomy in prostate cancer
Haijun Yang, Chongjuan Wei, Shan Zhou, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
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
Multiclass Classification of Lung Cancer with SVM and XGBoost with 20+ Features
Zahereel Ishwar Abdul Khalib, Nur Hafizah Ghazali, SC Wong
Studies in computational intelligence (2025), pp. 317-327
Closed Access
Explainable machine learning for predicting lung metastasis of colorectal cancer
Zhentian Guo, Zongming Zhang, Limin Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Computational models for prediction of m6A sites using deep learning
Nan Sheng, Jianbo Qiao, Leyi Wei, et al.
Methods (2025)
Closed Access
Micro-inflammation related gene signatures are associated with clinical features and immune status of fibromyalgia
Menghui Yao, Shuolin Wang, Yingdong Han, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 9
The Effect of Radioiodine Therapy on the Prognosis of Differentiated Thyroid Cancer with Lung Metastases
Shenghong Zhang, Mengqin Zhu, Han Zhang, et al.
Biomedicines (2024) Vol. 12, Iss. 3, pp. 532-532
Open Access | Times Cited: 3
Applying oversampling before cross-validation will lead to high bias in radiomics
Aydın Demircioğlu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Development and validation of a machine learning model to predict venous thromboembolism among hospitalized cancer patients
Lingqi Meng, Tao Wei, Rongrong Fan, et al.
Asia-Pacific Journal of Oncology Nursing (2022) Vol. 9, Iss. 12, pp. 100128-100128
Open Access | Times Cited: 16
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
The Current Progress of Artificial Intelligence in Approach to Thyroid Nodules: A Narrative Review
Parsa Yazdanpanahi, Farnaz Atighi, Alireza Keshtkar, et al.
Shiraz E-Medical Journal (2024) Vol. 25, Iss. 11
Open Access | Times Cited: 2
Development and validation of an interpretable machine learning model for predicting the risk of distant metastasis in papillary thyroid cancer: a multicenter study
Fei Hou, Yun Zhu, Hongbo Zhao, et al.
EClinicalMedicine (2024) Vol. 77, pp. 102913-102913
Open Access | Times Cited: 2
Development and validation of a nomogram for risk of pulmonary metastasis in non-papillary thyroid carcinoma: A SEER-based study
Y F Li, Xuefei Gao, Tiantian Guo, et al.
Medicine (2023) Vol. 102, Iss. 32, pp. e34581-e34581
Open Access | Times Cited: 6
Peripheral and tumor‐infiltrating immune cells are correlated with patient outcomes in ovarian cancer
Weiwei Zhang, Yawen Ling, Zhidong Li, et al.
Cancer Medicine (2023) Vol. 12, Iss. 8, pp. 10045-10061
Open Access | Times Cited: 5
Machine learning based on SEER database to predict distant metastasis of thyroid cancer
Lixue Qiao, Hao Li, Ziyang Wang, et al.
Endocrine (2023) Vol. 84, Iss. 3, pp. 1040-1050
Open Access | Times Cited: 5
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
Binxu Qiu, Zixiong Shen, Dongliang Yang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Taking precautions in advance: a lower level of activities of daily living may be associated with a higher likelihood of memory-related diseases
Jiawei He, Weijie Wang, Shiwei Wang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top