
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:
Survival rate prediction of nasopharyngeal carcinoma patients based on MRI and gene expression using a deep neural network
Qihao Zhang, Gang Wu, Qianyu Yang, et al.
Cancer Science (2022) Vol. 114, Iss. 4, pp. 1596-1605
Open Access | Times Cited: 10
Qihao Zhang, Gang Wu, Qianyu Yang, et al.
Cancer Science (2022) Vol. 114, Iss. 4, pp. 1596-1605
Open Access | Times Cited: 10
Showing 10 citing articles:
Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma
Xinggang Yang, Juan Wu, Xiyang Chen
Journal of Clinical Medicine (2023) Vol. 12, Iss. 9, pp. 3077-3077
Open Access | Times Cited: 11
Xinggang Yang, Juan Wu, Xiyang Chen
Journal of Clinical Medicine (2023) Vol. 12, Iss. 9, pp. 3077-3077
Open Access | Times Cited: 11
Sesamin Exerts Anti-Tumor Activity in Nasopharyngeal Carcinoma Through Inducing Autophagy and Reactive Oxygen Species Production
Deqiang An, Xianyao Jiang, Yang Yucheng
Frontiers in Bioscience-Landmark (2025) Vol. 30, Iss. 4
Open Access
Deqiang An, Xianyao Jiang, Yang Yucheng
Frontiers in Bioscience-Landmark (2025) Vol. 30, Iss. 4
Open Access
Development and Validation of a Multi‐Omics Model Integrating MR Radiomics and Immune Scores for Prognostic Prediction in Locally Advanced Nasopharyngeal Carcinoma
Zhun Zhong, Feng Xiao, Dong Kuang, et al.
Flavour and Fragrance Journal (2025)
Closed Access
Zhun Zhong, Feng Xiao, Dong Kuang, et al.
Flavour and Fragrance Journal (2025)
Closed Access
Application of Deep Learning in Cancer Prognosis Prediction Model
Heng Zhang, Qianyi Xi, Fan Zhang, et al.
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 5
Heng Zhang, Qianyi Xi, Fan Zhang, et al.
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 5
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
Machine learning in image‐based outcome prediction after radiotherapy: A review
Xiaohan Yuan, Chaoqiong Ma, Mingzhe Hu, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access | Times Cited: 1
Xiaohan Yuan, Chaoqiong Ma, Mingzhe Hu, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access | Times Cited: 1
The Role of PTEN in Nasopharyngeal Carcinoma
Yan Chen, Shuli Xu, Yingchun He, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 5
Open Access
Yan Chen, Shuli Xu, Yingchun He, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 5
Open Access
An MRI-based radiomics nomogram for preoperative prediction of Ki-67 index in nasopharyngeal carcinoma: a two-center study
Yao Wang, Jing Zhang, Qiyuan Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Yao Wang, Jing Zhang, Qiyuan Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Deciphering the Prognostic Efficacy of MRI Radiomics in Nasopharyngeal Carcinoma: A Comprehensive Meta-Analysis
Chih-Keng Wang, Tingwei Wang, Chia‐Feng Lu, et al.
Diagnostics (2024) Vol. 14, Iss. 9, pp. 924-924
Open Access
Chih-Keng Wang, Tingwei Wang, Chia‐Feng Lu, et al.
Diagnostics (2024) Vol. 14, Iss. 9, pp. 924-924
Open Access