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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 Automatic Segmentation of Lumbosacral Nerves on CT for Spinal Intervention: A Translational Study
Guoxin Fan, H. Liu, Zhengdong Wu, et al.
American Journal of Neuroradiology (2019) Vol. 40, Iss. 6, pp. 1074-1081
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Artificial intelligence in spine care: current applications and future utility
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, et al.
European Spine Journal (2022) Vol. 31, Iss. 8, pp. 2057-2081
Closed Access | Times Cited: 42
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xin-Yue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 38
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
Development and application of AI assisted automatic reconstruction of axial lumbar disc CT images and diagnosis of lumbar disc herniation
Lijuan Wan, Xiaolian Su, Zuogang Xiong, et al.
European Journal of Radiology (2025) Vol. 185, pp. 112003-112003
Closed Access
Comparison of clinical efficacy of transforaminal and caudal epidural steroid injection in lumbar and lumbosacral disc herniation: A systematic review and meta-analysis
Jung Hwan Lee, Kyoung-ho Shin, Sung Jin Bahk, et al.
The Spine Journal (2018) Vol. 18, Iss. 12, pp. 2343-2353
Closed Access | Times Cited: 46
Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification
Jiamin Zhou, Pablo F. Damasceno, Ravi Chachad, et al.
Frontiers in Endocrinology (2020) Vol. 11
Open Access | Times Cited: 29
Impact of transfer learning for human sperm segmentation using deep learning
Ruth Marín, Violeta Chang
Computers in Biology and Medicine (2021) Vol. 136, pp. 104687-104687
Closed Access | Times Cited: 25
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
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
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
Artificial Intelligence-enabled, Real-time Intraoperative Ultrasound Imaging of Neural Structures Within the Psoas
Tyler Carson, Goutam Ghoshal, George Bryan Cornwall, et al.
Spine (2020) Vol. 46, Iss. 3, pp. E146-E152
Open Access | Times Cited: 18
Three‐dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation
Zhihai Su, Zheng Liu, Min Wang, et al.
Journal of Orthopaedic Research® (2022) Vol. 40, Iss. 12, pp. 2914-2923
Closed Access | Times Cited: 11
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang, Ming Li, Nir Ben‐Shlomo, et al.
Lecture notes in computer science (2019), pp. 192-200
Open Access | Times Cited: 19
Detecting Lumbar Implant and Diagnosing Scoliosis from Vietnamese X-Ray Imaging Using the Pre-Trained API Models and Transfer Learning
Chung Văn Lê, Bao Nguyen Le, Vikram Puri, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 1, pp. 17-33
Open Access | Times Cited: 13
A Transfer Learning Approach for Lumbar Spine Disc State Classification
Ali Al-kubaisi, Nasser N. Khamiss
Electronics (2021) Vol. 11, Iss. 1, pp. 85-85
Open Access | Times Cited: 12
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
Artificial Intelligence in Head and Neck Imaging
Kyle Werth, Luke Ledbetter
Neuroimaging Clinics of North America (2020) Vol. 30, Iss. 3, pp. 359-368
Closed Access | Times Cited: 12
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
Deep learning in spine surgery
Hamid Ghaednia, Amanda Lans, Nicholas Sauder, et al.
Seminars in Spine Surgery (2021) Vol. 33, Iss. 2, pp. 100876-100876
Closed Access | Times Cited: 9
Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography
Guoxin Fan, Dongdong Wang, Yufeng Li, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 53-53
Open Access | Times Cited: 3
Using Novel Segmentation Technology to Define Safe Corridors for Minimally Invasive Posterior Lumbar Interbody Fusion
Troy Q. Tabarestani, David S. Salven, David Sykes, et al.
Operative Neurosurgery (2023)
Closed Access | Times Cited: 3
A novel dual-network architecture for mixed-supervised medical image segmentation
Duo Wang, Ming Li, Nir Ben‐Shlomo, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 89, pp. 101841-101841
Open Access | Times Cited: 8
Clinical Artificial Intelligence Applications in Radiology
Felipe Kitamura, Ian Pan, Suely Fazio Ferraciolli, et al.
Radiologic Clinics of North America (2021) Vol. 59, Iss. 6, pp. 1003-1012
Closed Access | Times Cited: 6
Early Prognostication of Critical Patients With Spinal Cord Injury
Guoxin Fan, Huaqing Liu, Sheng Yang, et al.
Spine (2023) Vol. 49, Iss. 11, pp. 754-762
Closed Access | Times Cited: 2
Calcification of abdominal aorta is an underappreciated cardiovascular disease risk factor
Anurag Sethi, D. Leland Taylor, J. Graham Ruby, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
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