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:

Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models
Malaika Mushtaq, Muhammad Usman Akram, Norah Saleh Alghamdi, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1547-1547
Open Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm
Rui‐Yang Ju, Weiming Cai
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 101

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
Mohammed Gamal Ragab, Said Jadid Abdulkadir, Amgad Muneer, et al.
IEEE Access (2024) Vol. 12, pp. 57815-57836
Open Access | Times Cited: 49

Image Segmentation Techniques: Statistical, Comprehensive, Semi-Automated Analysis and an Application Perspective Analysis of Mathematical Expressions
Sakshi Sakshi, Vinay Kukreja
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 457-495
Closed Access | Times Cited: 60

Smart and Automated Infrastructure Management: A Deep Learning Approach for Crack Detection in Bridge Images
Hina Inam, Naeem Ul Islam, Muhammad Usman Akram, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 1866-1866
Open Access | Times Cited: 40

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
Rizwan Qureshi, Mohammed Gamal Ragab, SAID JADID ABDULKADER, et al.
(2023)
Open Access | Times Cited: 23

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: 12

Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images
Hiroki Den, Jun‐ichi Ito, Akatsuki Kokaze
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18

An approach to the diagnosis of lumbar disc herniation using deep learning models
Ardha Ardea Prisilla, Yue Leon Guo, Yih‐Kuen Jan, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 18

Applications of Deep Learning in Trauma Radiology: A Narrative Review
Chi‐Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, et al.
Biomedical Journal (2024) Vol. 48, Iss. 1, pp. 100743-100743
Open Access | Times Cited: 7

Deep Learning-Based Medical Images Segmentation of Musculoskeletal Anatomical Structures: A Survey of Bottlenecks and Strategies
Lorenza Bonaldi, Andrea Pretto, Carmelo Pirri, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 137-137
Open Access | Times Cited: 16

Deep learning algorithms for classification and detection of recurrent aphthous ulcerations using oral clinical photographic images
Mimi Zhou, Weiping Jie, Fan Tang, et al.
Journal of Dental Sciences (2023) Vol. 19, Iss. 1, pp. 254-260
Open Access | Times Cited: 11

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
Rizwan Qureshi, Mohammed Gamal Ragab, Said Jadid Abdulkader, et al.
(2023)
Open Access | Times Cited: 11

Multimodality imaging in prostate cancer diagnosis using artificial intelligence: basic concepts and current state-of-the-art
Sarah M. Ayyad, Nahla B. Abdel-Hamid, Hesham Ali, et al.
Multimedia Tools and Applications (2025)
Open Access

YOLO11-Driven Deep Learning Approach for Enhanced Detection and Visualization of Wrist Fractures in X-Ray Images
Moazan Basoud Ibn E Tariq, Kiho Choi
Mathematics (2025) Vol. 13, Iss. 9, pp. 1419-1419
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

Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation
Aqsa Dastgir, Bin Wang, Muhammad Usman Saeed, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Delving into YOLO Object Detection Models: Insights into Adversarial Robustness
Kyriakos D. Apostolidis, George A. Papakostas
Electronics (2025) Vol. 14, Iss. 8, pp. 1624-1624
Open Access

A fully automatic Cobb angle measurement framework of full-spine DR images based on deep learning
Hui-Jie Wu, Shasha Zheng, Wang Du, et al.
European Spine Journal (2025)
Closed Access

Predicting the anterior slippage of vertebral lumbar spine using Densenet-201
Meghana R. Khare, Raviraj H. Havaldar
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105115-105115
Closed Access | Times Cited: 8

X23D—Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data
Sascha Jecklin, Carla Jancik, Mazda Farshad, et al.
Journal of Imaging (2022) Vol. 8, Iss. 10, pp. 271-271
Open Access | Times Cited: 14

End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images
Kun Zhang, Pengcheng Lin, Jing Pan, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 7

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

Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review
Josef Augusto Oberdan Souza Silva, Vilson Soares de Siqueira, Márcio Mesquita, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2697-2697
Open Access | Times Cited: 2

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