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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:

Feasibility and Assessment of a Machine Learning-Based Predictive Model of Outcome After Lumbar Decompression Surgery
Arthur André, Bruno Peyrou, Alexandre Carpentier, et al.
Global Spine Journal (2020) Vol. 12, Iss. 5, pp. 894-908
Open Access | Times Cited: 10

Showing 10 citing articles:

Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models
Babak Saravi, Frank Hassel, Sara Ülkümen, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 509-509
Open Access | Times Cited: 96
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Current Applications of Machine Learning in Spine: From Clinical View
GuanRui Ren, Kun Yu, Zhi‐Yang Xie, et al.
Global Spine Journal (2021) Vol. 12, Iss. 8, pp. 1827-1840
Open Access | Times Cited: 31
Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care
Samuel R. Browd, Christine Park, Daniel A. Donoho
The International Journal of Spine Surgery (2023) Vol. 17, Iss. S1, pp. S26-S33
Open Access | Times Cited: 11
Predictive factors for degenerative lumbar spinal stenosis: a model obtained from a machine learning algorithm technique
Janan Abbas, Malik Yousef, Natan Peled, et al.
BMC Musculoskeletal Disorders (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
What Factors Predict the Development of Neurologic Deficits Following Resection of Intramedullary Spinal Cord Tumors: A Multi-Center Study
Oluwaseun O. Akinduro, Abdul Karim Ghaith, Michaelides Loizos, et al.
World Neurosurgery (2023)
Closed Access | Times Cited: 2
Machine learning in spine surgery: Predictive analytics, imaging applications and next steps
Rushikesh S. Joshi, Darryl Lau, Christopher P. Ames
Seminars in Spine Surgery (2021) Vol. 33, Iss. 2, pp. 100878-100878
Closed Access | Times Cited: 5
Development of prediction models and predictors analysis for axial neck pain in patients undergoing cervical laminoplasty based on machine learning
Xiao Fan, Shuai Zhou, Lvxue Li, et al.
Research Square (Research Square) (2024)
Open Access
Predictive factors for degenerative lumbar spinal stenosis: A model obtained from a machine learning algorithm technique
Janan Abbas, Malik Yousef, Natan Peled, et al.
Research Square (Research Square) (2022)
Open Access
Investigation on Efficient Deep Learning Framework for Spinal Deformities: A Review Approach
Mamta Koban, Vijay P. Singh, Rajesh M. Bodade
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. SO2
Open Access
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