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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:

An algorithm for using deep learning convolutional neural networks with three dimensional depth sensor imaging in scoliosis detection
Terufumi Kokabu, Satoshi Kanai, Noriaki Kawakami, et al.
The Spine Journal (2021) Vol. 21, Iss. 6, pp. 980-987
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images
Mohammad Fraiwan, Ziad Audat, Luay Fraiwan, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0267851-e0267851
Open Access | Times Cited: 48
A Critical Analysis on Vertebra Identification and Cobb Angle Estimation Using Deep Learning for Scoliosis Detection
Rakesh Kumar, Meenu Gupta, Ajith Abraham
IEEE Access (2024) Vol. 12, pp. 11170-11184
Open Access | Times Cited: 11
Artificial Intelligence
Lorella Bottino, Marzia Settino, Mario Cannataro
(2024), pp. 11-23
Closed Access | Times Cited: 9
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
Ultrasound spine image segmentation using multi-scale feature fusion Skip-Inception U-Net (SIU-Net)
Sunetra Banerjee, Juan Lyu, Zixun Huang, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 341-361
Open Access | Times Cited: 24
Emerging trends and research foci of deep learning in spine: bibliometric and visualization study
Kai Chen, Xiao Zhai, Sheng Wang, et al.
Neurosurgical Review (2023) Vol. 46, Iss. 1
Open Access | Times Cited: 14
Symmetric perception and ordinal regression for detecting scoliosis natural image
Xiaojia Zhu, Rui Chen, Xiaoqi Guo, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Open Access
Computer-aided diagnosis of spinal deformities based on keypoints detection in human back depth images
Malong Tan, Renchao Jin, D. Liu, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107764-107764
Closed Access
Ensemble Learning of Deep CNN Models and two stage level Prediction of Cobb Angle on Surface Topography in Adolescents with idiopathic scoliosis
Mostafa Hassan, José María Ruiz, Nada Mohamed, et al.
Medical Engineering & Physics (2025), pp. 104332-104332
Closed Access
An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation
Nan Meng, Jason Pui Yin Cheung, Kenneth K. Wong, et al.
EClinicalMedicine (2022) Vol. 43, pp. 101252-101252
Open Access | Times Cited: 21
Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening
Nada Mohamed, José María Ruiz, Mostafa Hassan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Reliability of automated topographic measurements for spine deformity
Benjamin Groisser, Howard J. Hillstrom, Ankush Thakur, et al.
Spine Deformity (2022) Vol. 10, Iss. 5, pp. 1035-1045
Open Access | Times Cited: 17
A multi-stage ensemble network system to diagnose adolescent idiopathic scoliosis
Chao Wu, Ge-dong Meng, Jie Lian, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 5880-5889
Closed Access | Times Cited: 16
Prediction of Cobb Angle Using Deep Learning Algorithm with Three-Dimensional Depth Sensor Considering the Influence of Garment in Idiopathic Scoliosis
Yoko Ishikawa, Terufumi Kokabu, Katsuhisa Yamada, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 499-499
Open Access | Times Cited: 10
A Survey of Methods and Technologies Used for Diagnosis of Scoliosis
Ilona Karpiel, Adam Ziębiński, Marek Kluszczyński, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8410-8410
Open Access | Times Cited: 19
Development of a Method for Estimating the Angle of Lumbar Spine X-ray Images Using Deep Learning with Pseudo X-ray Images Generated from Computed Tomography
Ryuma Moriya, Takaaki Yoshimura, Minghui Tang, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3794-3794
Open Access | Times Cited: 2
3D Inference of the Scoliotic Spine from Depth Maps of the Back
Nicolas Comte, Sergi Pujades, Aurélien Courvoisier, et al.
Lecture notes in computational vision and biomechanics (2024), pp. 159-168
Closed Access | Times Cited: 1
Subpixel keypoint localization and angle prediction for lithography marks based on deep learning
Yulong Li, Yangjie Cao, Shijiao Li, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Fully Automated Measurement of Cobb Angles in Coronal Plane Spine Radiographs
Kenneth Chen, Christoph Stotter, Thomas Klestil, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 14, pp. 4122-4122
Open Access | Times Cited: 1
Applications of artificial intelligence for adolescent idiopathic scoliosis: mapping the evidence
Samuel Goldman, Aaron T. Hui, Sharlene Choi, et al.
Spine Deformity (2024) Vol. 12, Iss. 6, pp. 1545-1570
Open Access | Times Cited: 1
Classification of mild and severe adolescent idiopathic scoliosis (AIS) from healthy subjects via a supervised learning model based on electromyogram and ground reaction force data during gait
Arnab Sikidar, Koyyana Eshwar Chandra Vidyasagar, Manish Gupta, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 870-887
Closed Access | Times Cited: 5
Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network
Woojin Lee, Keewon Shin, Jun Soo Lee, et al.
Journal of the Korean Society of Radiology (2022) Vol. 83, Iss. 6, pp. 1298-1298
Open Access | Times Cited: 4
Current models to understand the onset and progression of scoliotic deformities in adolescent idiopathic scoliosis: a systematic review
A. R. Meiring, Esther P. de Kater, Agnita Stadhouder, et al.
Spine Deformity (2022) Vol. 11, Iss. 3, pp. 545-558
Closed Access | Times Cited: 4
A fully automatic curve localization method for extracted spine
Aishu Xie, Ervin Gubin Moung, Xu Zhou, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4018-4018
Open Access
Explainable Deep-Learning-Based Gait Analysis of Hip–Knee Cyclogram for the Prediction of Adolescent Idiopathic Scoliosis Progression
Yong Gyun Kim, S Y Kim, Jae Hyeon Park, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4504-4504
Open Access
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