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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:

Artificial intelligence and spine imaging: limitations, regulatory issues and future direction
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, et al.
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2007-2021
Closed Access | Times Cited: 18

Showing 18 citing articles:

Revolutionizing Spinal Care: Current Applications and Future Directions of Artificial Intelligence and Machine Learning
Mitsuru Yagi, Kento Yamanouchi, Naruhito Fujita, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 13, pp. 4188-4188
Open Access | Times Cited: 32
Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network
Hyunho Seok, Shihoon Son, Sagar Bhaurao Jathar, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3118-3118
Open Access | Times Cited: 17
Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and meta-analysis
Roger Compte, Isabelle Granville Smith, Amanda Isaac, et al.
European Spine Journal (2023) Vol. 32, Iss. 11, pp. 3764-3787
Open Access | Times Cited: 17
An overview of critical applications of resistive random access memory
Furqan Zahoor, Arshid Nisar, Usman Isyaku Bature, et al.
Nanoscale Advances (2024)
Open Access | Times Cited: 8
Intra-Examiner Reliability and Validity of Sagittal Cervical Spine Mensuration Methods Using Deep Convolutional Neural Networks
Mohammad Mehdi Hosseini, Mohammad H. Mahoor, Jason W. Haas, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 9, pp. 2573-2573
Open Access | Times Cited: 7
Trends of Low Back Pain Research in Older and Working-Age Adults from 1993 to 2023: A Bibliometric Analysis
Daniel J. Zheng, Gregory N. Kawchuk, André Bussières, et al.
Journal of Pain Research (2023) Vol. Volume 16, pp. 3325-3341
Open Access | Times Cited: 13
Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans
Yuhei Koike, Midori Yui, Satoaki Nakamura, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 10, pp. 1867-1874
Closed Access | Times Cited: 13
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: 13
Spinal magnetic resonance image segmentation based on U-net
Zhi Wang, Pingsen Xiao, Hao Tan
Journal of Radiation Research and Applied Sciences (2023) Vol. 16, Iss. 3, pp. 100627-100627
Open Access | Times Cited: 12
Current Applications and Future Implications of Artificial Intelligence in Spine Surgery and Research: A Narrative Review and Commentary
Alexander T. Yahanda, Karan Joseph, Tim Bui, et al.
Global Spine Journal (2024)
Open Access | Times Cited: 4
A National Survey on Physician Perspectives on Artificial Intelligence: Assessing Physician Acceptance and Clinical Integration of AI Tools (Preprint)
Anshul Ratnaparkhi, Simon Moore, Abhinav Suri, et al.
(2025)
Closed Access
Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network
Xiaodong Duan, Xiaojun Ma, Mengqi Zhu, et al.
Journal of Orthopaedic Surgery and Research (2025) Vol. 20, Iss. 1
Open Access
Spine Trauma Classifications: Historical, Current, and Emerging Perspectives for Radiologists
Khanak Nandolia, Sonal Saran, Garima Varshney, et al.
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging (2025)
Open Access
Deep learning assisted segmentation of the lumbar intervertebral disc: a systematic review and meta-analysis
Aobo Wang, Congying Zou, Shuo Yuan, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases
André Wirries, Florian Geiger, Ludwig Oberkircher, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 836-836
Open Access | Times Cited: 7
Commentary on “Predicting Mechanical Complications After Adult Spinal Deformity Operation Using a Machine Learning Based on Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density”
Fabio Galbusera, Andrea Cina, Dino Samartzis
Neurospine (2023) Vol. 20, Iss. 1, pp. 275-277
Open Access | Times Cited: 1
Artificial Intelligence and Machine Learning in Spine Surgery
Jacob C. Wolf, Aayush Kaul, Fatima Anwar, et al.
Contemporary Spine Surgery (2023) Vol. 24, Iss. 9, pp. 1-3
Closed Access | Times Cited: 1
Intervertebral disc degeneration
Uruj Zehra, James D. Baker, G. Michael Mallow, et al.
Elsevier eBooks (2022), pp. 105-135
Closed Access
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