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:
Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma
Fei Zheng, Ping Yin, Kewei Liang, et al.
Academic Radiology (2023) Vol. 31, Iss. 6, pp. 2444-2455
Closed Access | Times Cited: 6
Fei Zheng, Ping Yin, Kewei Liang, et al.
Academic Radiology (2023) Vol. 31, Iss. 6, pp. 2444-2455
Closed Access | Times Cited: 6
Showing 6 citing articles:
End-to-End Deep Learning Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Patients Using Routine MRI
Ping Yin, Xinyu Zhang, Ying Liu, et al.
Deleted Journal (2025)
Closed Access
Ping Yin, Xinyu Zhang, Ying Liu, et al.
Deleted Journal (2025)
Closed Access
Clinical efficacy of lenvatinib, trans-arterial chemoembolization, and PD-1/L1 inhibitors in advanced hepatocellular carcinoma: a systematic review and network meta-analysis
YiFeng Liang, L M Gan, DeJin Zeng, et al.
Clinical & Translational Oncology (2024) Vol. 26, Iss. 10, pp. 2652-2664
Closed Access | Times Cited: 3
YiFeng Liang, L M Gan, DeJin Zeng, et al.
Clinical & Translational Oncology (2024) Vol. 26, Iss. 10, pp. 2652-2664
Closed Access | Times Cited: 3
Magnetic Resonance Imaging Radiomics Predicts Histological Response to Neoadjuvant Chemotherapy in Localized High-grade Osteosarcoma of the Extremities
Yun Zhang, Lanlan Zhi, Jiao Li, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5100-5107
Closed Access | Times Cited: 2
Yun Zhang, Lanlan Zhi, Jiao Li, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5100-5107
Closed Access | Times Cited: 2
Imaging of Osteosarcoma: Presenting Findings, Metastatic Patterns, and Features Related to Prognosis
Amandine Crombé, Mario Simonetti, Alessandra Longhi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5710-5710
Open Access | Times Cited: 2
Amandine Crombé, Mario Simonetti, Alessandra Longhi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5710-5710
Open Access | Times Cited: 2
Development of the interpretable typing prediction model for osteosarcoma and chondrosarcoma based on machine learning and radiomics: a multicenter retrospective study
Qing-Yuan Long, Fengyan Wang, Yue Hu, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Qing-Yuan Long, Fengyan Wang, Yue Hu, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Predicting craniofacial fibrous dysplasia growth status: An exploratory study of a hybrid radiomics and deep learning model based on computed tomography images
G. Li, Hao Liu, Zhengke Pan, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024)
Closed Access
G. Li, Hao Liu, Zhengke Pan, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024)
Closed Access
