
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:
A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma
Zhen Chen, Yao Yu, Shuo Liu, et al.
Clinical Oral Investigations (2023) Vol. 28, Iss. 1
Closed Access | Times Cited: 8
Zhen Chen, Yao Yu, Shuo Liu, et al.
Clinical Oral Investigations (2023) Vol. 28, Iss. 1
Closed Access | Times Cited: 8
Showing 8 citing articles:
A Radiomics Model Combining Machine Learning and Neural Networks for High-Accuracy Prediction of Cervical Lymph Node Metastasis on Ultrasound of Head and Neck Squamous Cell Carcinoma
Motoki Fukuda, Sato Eida, Ikuo Katayama, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Open Access
Motoki Fukuda, Sato Eida, Ikuo Katayama, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Open Access
Early Detection of Oral Cavity Cancer: A Comprehensive Literature Review of Risk Factors and Latest Techniques in Diagnosis
Ritika Agrawal, Amir Tofighbakhsh, J. Davidson, et al.
Current Surgery Reports (2025) Vol. 13, Iss. 1
Closed Access
Ritika Agrawal, Amir Tofighbakhsh, J. Davidson, et al.
Current Surgery Reports (2025) Vol. 13, Iss. 1
Closed Access
Molecular characteristics of oligomeric protein complexes AIM2 and TM4SF19 and their association with the pathogenesis of oral squamous cell carcinoma: Potential biomarkers
Jinlan Lu, Ming Deng, Liting Lu, et al.
International Journal of Biological Macromolecules (2025) Vol. 306, pp. 141816-141816
Closed Access
Jinlan Lu, Ming Deng, Liting Lu, et al.
International Journal of Biological Macromolecules (2025) Vol. 306, pp. 141816-141816
Closed Access
Enhancing Elderly Care Services through Integrated Sentiment Analysis and Knowledge Reasoning: A Deep Learning Approach
Yongguan Ai, Shiwei Chu, Juan Wang, et al.
International Journal of Cognitive Computing in Engineering (2025)
Open Access
Yongguan Ai, Shiwei Chu, Juan Wang, et al.
International Journal of Cognitive Computing in Engineering (2025)
Open Access
Advances in the Application of Radiomics and Deep Learning for the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma
凯 谢
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 1680-1687
Closed Access
凯 谢
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 1680-1687
Closed Access
Application of CT and MRI images based on artificial intelligence to predict lymph node metastases in patients with oral squamous cell carcinoma: a subgroup meta-analysis
Cheng Deng, Jun Hu, Ping Tang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Cheng Deng, Jun Hu, Ping Tang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Computer Vision—Radiomics & Pathognomics
Alexandra T. Bourdillon
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 719-751
Closed Access | Times Cited: 1
Alexandra T. Bourdillon
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 719-751
Closed Access | Times Cited: 1
Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology
Rahul Alapati, Bryan Renslo, Sarah F. Wagoner, et al.
The Laryngoscope (2024) Vol. 135, Iss. 2, pp. 687-694
Closed Access
Rahul Alapati, Bryan Renslo, Sarah F. Wagoner, et al.
The Laryngoscope (2024) Vol. 135, Iss. 2, pp. 687-694
Closed Access