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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:

Creating Prognostic Systems for Well-Differentiated Thyroid Cancer Using Machine Learning
Charles Yang, Lauren Gardiner, Huan Wang, et al.
Frontiers in Endocrinology (2019) Vol. 10
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 68
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
Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer
Eric J. Formeister, Rachel Baum, P. Daniel Knott, et al.
The Laryngoscope (2020) Vol. 130, Iss. 12
Closed Access | Times Cited: 62
Machine Learning for Endometrial Cancer Prediction and Prognostication
Vipul Bhardwaj, Arundhiti Sharma, V. P. Snijesh, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 33
Novel Machine Learning Approach for the Prediction of Hernia Recurrence, Surgical Complication, and 30-Day Readmission after Abdominal Wall Reconstruction
Abbas M. Hassan, Sheng-Chieh Lu, Malke Asaad, et al.
Journal of the American College of Surgeons (2022) Vol. 234, Iss. 5, pp. 918-927
Closed Access | Times Cited: 31
Artificial Intelligence Modeling to Predict Periprosthetic Infection and Explantation following Implant-Based Reconstruction
Abbas M. Hassan, Andrea Biaggi-Ondina, Malke Asaad, et al.
Plastic & Reconstructive Surgery (2023)
Closed Access | Times Cited: 15
Using machine learning to create prognostic systems for endometrial cancer
Aaron Praiss, Yongmei Huang, Caryn M. St. Clair, et al.
Gynecologic Oncology (2020) Vol. 159, Iss. 3, pp. 744-750
Closed Access | Times Cited: 33
Development and Assessment of Machine Learning Models for Individualized Risk Assessment of Mastectomy Skin Flap Necrosis
Abbas M. Hassan, Andrea P. Biaggi, Malke Asaad, et al.
Annals of Surgery (2022) Vol. 278, Iss. 1, pp. e123-e130
Closed Access | Times Cited: 21
Development of a Machine Learning Model to Predict Recurrence of Oral Tongue Squamous Cell Carcinoma
Yasaman Fatapour, Arash Abiri, Edward C. Kuan, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2769-2769
Open Access | Times Cited: 11
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
Metagenomic Microbial Signatures for Noninvasive Detection of Pancreatic Cancer
Yueying Chen, Fulin Nian, Jia Chen, et al.
Biomedicines (2025) Vol. 13, Iss. 4, pp. 1000-1000
Open Access
Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data
Craig J. Goergen, Mackenzie Tweardy, Steven R. Steinhubl, et al.
Annual Review of Biomedical Engineering (2021) Vol. 24, Iss. 1, pp. 1-27
Open Access | Times Cited: 26
Clinical characteristics and disease-specific prognostic nomogram for primary gliosarcoma: a SEER population-based analysis
Songshan Feng, Huangbao Li, Fan Fan, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 20
A prognostic system for epithelial ovarian carcinomas using machine learning
Philip M. Grimley, Zhenqiu Liu, Kathleen M. Darcy, et al.
Acta Obstetricia Et Gynecologica Scandinavica (2021) Vol. 100, Iss. 8, pp. 1511-1519
Open Access | Times Cited: 15
Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors
Carlos M. Chiesa‐Estomba, Oier Echaniz, Jon Alexander Sistiaga Suárez, et al.
Journal of Surgical Research (2021) Vol. 262, pp. 57-64
Closed Access | Times Cited: 14
Prognostic evaluation model for papillary thyroid cancer: a retrospective study of 660 cases
Yi-ming Cao, Tingting Zhang, Bao-Yuan Li, et al.
Gland Surgery (2021) Vol. 10, Iss. 7, pp. 2170-2179
Open Access | Times Cited: 10
Expanding TNM for lung cancer through machine learning
Matthew T. Hueman, Huan Wang, Zhenqiu Liu, et al.
Thoracic Cancer (2021) Vol. 12, Iss. 9, pp. 1423-1430
Open Access | Times Cited: 9
Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning
Charles Yang, Huan Wang, Zhenqiu Liu, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257949-e0257949
Open Access | Times Cited: 9
Using Weighted Differences in Hazards as Effect Sizes for Survival Data
H. Wang, Dechang Chen, Qing Pan, et al.
Journal of Statistical Theory and Practice (2022) Vol. 16, Iss. 1
Open Access | Times Cited: 6
Using Machine Learning to Expand the Ann Arbor Staging System for Hodgkin and Non-Hodgkin Lymphoma
Huan Wang, Zhenqiu Liu, Julie L. Yang, et al.
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 514-525
Open Access | Times Cited: 3
A clinically useful and biologically informative genomic classifier for papillary thyroid cancer
Steven J. Craig, Cynthia Stretch, Farshad Farshidfar, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 3
Facial nerve palsy following parotid gland surgery: A machine learning prediction outcome approach
Carlos M. Chiesa‐Estomba, José Ángel González-García, Ekhiñe Larruscain, et al.
World Journal of Otorhinolaryngology - Head and Neck Surgery (2023) Vol. 9, Iss. 4, pp. 271-279
Open Access | Times Cited: 2
Metastatic site discriminates survival benefit of primary tumor surgery for differentiated thyroid cancer with distant metastases
Wu Ding, Guodong Ruan, Jianming Zhu, et al.
Medicine (2020) Vol. 99, Iss. 48, pp. e23132-e23132
Open Access | Times Cited: 4
Unraveling the Complexity of Thyroid Cancer Prediction
Hemlata Joshi, A. Vijayalakshmi, Sneha Maria George
Advances in computational intelligence and robotics book series (2024), pp. 367-388
Closed Access
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