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:

Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma
Ping Yin, Junwen Zhong, Ying Liu, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6

Showing 6 citing articles:

Nanoparticles and bone microenvironment: a comprehensive review for malignant bone tumor diagnosis and treatment
Yujing Guan, Wei Zhang, Yuling Mao, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 12

T2-weighted MRI radiomics for the prediction of pediatric and young adult rhabdomyosarcoma alveolar subtype and distant metastasis: a pilot study
Adarsh Ghosh, Hailong Li, Alexander J. Towbin, et al.
Pediatric Radiology (2025)
Closed Access | Times Cited: 1

Machine-learning-based on multimodality radiomics analysis for the Preoperative Prediction for local relapse in osteosarcoma
Zhendong Luo, Renyi Liu, Jing Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Radiomics in Musculoskeletal Tumors
Daniel Brandenberger, Lawrence M. White
Seminars in Musculoskeletal Radiology (2024) Vol. 28, Iss. 01, pp. 049-061
Closed Access | Times Cited: 1

Application and progress of X‐ray, computed tomography, and magnetic resonance imaging radiomics in osteosarcoma
Teng Peihong, Ren Lingling, Hao Haifeng, et al.
iRadiology (2023) Vol. 1, Iss. 3, pp. 262-268
Open Access | Times Cited: 3

SpecFL: An Efficient Speculative Federated Learning System for Tree-based Model Training
Yuhui Zhang, Lutan Zhao, Cheng Che, et al.
(2024) Vol. 1, pp. 817-831
Closed Access

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