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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:

Deep learning-based lumbosacral reconstruction for difficulty prediction of percutaneous endoscopic transforaminal discectomy at L5/S1 level: A retrospective cohort study
Guoxin Fan, Huaqing Liu, Dongdong Wang, et al.
International Journal of Surgery (2020) Vol. 82, pp. 162-169
Closed Access | Times Cited: 21

Showing 21 citing articles:

Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 20, pp. 10909-10909
Open Access | Times Cited: 56
Artificial intelligence in spine surgery
Ahmed Benzakour, Pavlos Altsitzioglou, Jean‐Michel Lemée, et al.
International Orthopaedics (2022) Vol. 47, Iss. 2, pp. 457-465
Closed Access | Times Cited: 39
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 12
Current development and prospects of deep learning in spine image analysis: a literature review
Biao Qu, Jianpeng Cao, Chen Qian, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3454-3479
Open Access | Times Cited: 29
Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report
Anas Bardeesi, Troy Q. Tabarestani, Stephen M. Bergin, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 5, pp. 1513-1513
Open Access | Times Cited: 4
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image
Junyong Zhao, Liang Sun, Zhi Sun, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102771-102771
Closed Access | Times Cited: 3
Novel Approach to Percutaneous Lumbar Surgeries via Kambin's Triangle—Radiographic and Surgical Planning Analysis with Nerve Segmentation Technology
Troy Q. Tabarestani, David Sykes, Romaric Waguia-Kouam, et al.
World Neurosurgery (2023) Vol. 177, pp. e385-e396
Closed Access | Times Cited: 7
A Multi-Element Identification System Based on Deep Learning for the Visual Field of Percutaneous Endoscopic Spine Surgery
Jinhui Bu, Lei Yan, Yari Wang, et al.
Indian Journal of Orthopaedics (2024) Vol. 58, Iss. 5, pp. 587-597
Open Access | Times Cited: 2
A State-of-the-Art Survey of Deep Learning for Lumbar Spine Image Analysis: X-Ray, CT, and MRI
Ruyi Zhang
AI medicine. (2024), pp. 3-3
Closed Access | Times Cited: 2
Residual-atrous attention network for lumbosacral plexus segmentation with MR image
Junyong Zhao, Liang Sun, Xin Zhou, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 100, pp. 102109-102109
Closed Access | Times Cited: 11
Machine Learning Prediction Model and Risk Factor Analysis of Reoperation in Recurrent Lumbar Disc Herniation Patients After Percutaneous Endoscopic Lumbar Discectomy
Zhengming Shan, Xuesong Ren, Hang Shi, et al.
Global Spine Journal (2023) Vol. 14, Iss. 8, pp. 2240-2251
Open Access | Times Cited: 6
Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms
Guoxin Fan, Yufeng Li, Dongdong Wang, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 1
Machine Learning Algorithms in Neuroimaging: An Overview
Vittorio Stumpo, Julius M. Kernbach, Christiaan Hendrik Bas van Niftrik, et al.
Acta neurochirurgica. Supplementum (2021), pp. 125-138
Closed Access | Times Cited: 11
How dimensions can guide surgical planning and training: a systematic review of Kambin’s triangle
Romaric Waguia Kouam, Troy Q. Tabarestani, David B. Sykes, et al.
Neurosurgical FOCUS (2023) Vol. 54, Iss. 1, pp. E6-E6
Open Access | Times Cited: 3
Deep Learning-Based Approaches for Classifying Foraminal Stenosis Using Cervical Spine Radiographs
Jiho Park, Jaejun Yang, Sehan Park, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 195-195
Open Access | Times Cited: 5
Applications of Machine Learning in Pediatric Hydrocephalus
Bhavya Pahwa, Ojasvini Bali, Sarvesh Goyal, et al.
Neurology India (2021) Vol. 69, Iss. Suppl 2, pp. S380-S389
Closed Access | Times Cited: 6
Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI
Jing Liu, Yuee Zhou, Xinxin Cui, et al.
IEEE Access (2024) Vol. 12, pp. 77999-78013
Open Access
Deep Learning Applications in Orthopaedics: A Systematic Review and Future Directions
Ramón González Pola, Alberto Herrera Lozano, Luis Felipe Graham Nieto, et al.
Research Square (Research Square) (2024)
Open Access
Artificial Intelligence and Minimally Invasive Spine Surgery
Hee Seok Yang
(2023), pp. 411-417
Closed Access
A multi-element identification system based on deep learning for the visual field of percutaneous endoscopic spine surgery
Jinhui Bu, Yari Wang, Jiaqi Zhao, et al.
Research Square (Research Square) (2023)
Open Access
AVALIAÇÃO DE DESVIOS ESCOLIÓTICOS COM A UTILIZAÇÃO DE INTELIGÊNCIA ARTIFICIAL
José Ricardo Lourenço de Oliveira, Ricardo Pablo Passos, Bráulio Nascimento Lima, et al.
Revista CPAQV - Centro de Pesquisas Avançadas em Qualidade de Vida (2022) Vol. 14, Iss. v14n2, pp. 1-1
Open Access
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