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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:

Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis
Róża Dzierżak, Zbigniew Omiotek
Sensors (2022) Vol. 22, Iss. 21, pp. 8189-8189
Open Access | Times Cited: 23

Showing 23 citing articles:

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography
Wilson Ong, Ren Wei Liu, Andrew Makmur, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1364-1364
Open Access | Times Cited: 16
Deep learning in the radiologic diagnosis of osteoporosis: a literature review
Yu He, Jiaxi Lin, Shiqi Zhu, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 4
Open Access | Times Cited: 6
State-of-the-art skin disease classification: a review of deep learning models
Oluwayemisi Jaiyeoba, Emeka Ogbuju, Grace Ataguba, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2025) Vol. 14, Iss. 1
Closed Access
Prediction of subsequent fragility fractures: application of machine learning
Mozhdeh Zabihiyeganeh, Alireza Mirzaei, Pouria Tabrizian, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
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
Knee Osteoporosis Diagnosis Based on Deep Learning
Amany Sarhan, Mohamed Gobara, Shady Yasser, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Assessment of the bone biological age using multiple regression and neural network analysis
N.V. Grygorievа, Anatoly Pisaruk, Vitaliy Gurianov, et al.
PAIN JOINTS SPINE (2024) Vol. 13, Iss. 4, pp. 241-247
Open Access | Times Cited: 1
Femur bone volumetric estimation for osteoporosis classification based on deep learning with tuna jellyfish optimization using X-ray images
T G Halesh, P. Sathish
Multiagent and Grid Systems (2024) Vol. 20, Iss. 1, pp. 1-25
Closed Access | Times Cited: 1
Application of Convolutional Neural Network (CNN) Method in Fluctuations Pattern
Melinda Melinda, Yunidar Yunidar, Nur Afny Catur Andryani
Green Intelligent Systems and Applications (2023) Vol. 3, Iss. 2, pp. 56-68
Open Access | Times Cited: 2
Diagnosing Osteoporosis in Postmenopausal Females Using Machine Learning and AdaBoostM1 Algorithm Based on Bone Mineral Density
Sohail Jabbar, Awais Ahmad, Saba Tariq
Deleted Journal (2024) Vol. 3, Iss. 5
Open Access
Bonevoyage: Navigating the depths of osteoporosis detection with a dual-core ensemble of cascaded ShuffleNet and neural networks
Dhamodharan Srinivasan, Ajmeera Kiran, S. Parameswari, et al.
Journal of X-Ray Science and Technology (2024)
Closed Access
Layer-by-layer phase scanning of polycrystalline blood facies laser induced images for determination thyroid gland cancer and tissues injury necrosis
Olexander Ushenko, O.V. Bilookyi, Yu. A. Ushenko, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 9-9
Closed Access
Automated optical system of integrated photostimulation of the human nervous system
Gregory S. Tymchyk, Volodymyr Skytsiouk, Tatiana Klotchko, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 8-8
Closed Access
Modelling a modified parallel-hierarchical transformation algorithm for laser beam image processing
Leonid I. Timchenko, Natalia Kokriatska, Volodymyr Tverdomed, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 32-32
Closed Access
Modern programming technologies in the tasks of identification and classification of military aircraft using machine learning algorithms
Dmytro Uhryn, A. O. Karachevtsev, Taras Terletskyi, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 13-13
Closed Access
Polarization mapping of optical anisotropy architectonics laser induced images in monitoring biological tissue necrosis
Olexander Ushenko, Olexandra Litvinenko, Yu. A. Ushenko, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 6-6
Closed Access
Neural network method for assessing the effectiveness of the formation of pathological and keloid scars
K. P. Lokes, Давид Соломонович Аветіков, Sergii Pavlov, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 12-12
Closed Access
Regression method for inverse correlation filters design for objects recognition
Roman Kvyetnyy, Yuriy Bunyak, Olga Sofina, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 16-16
Closed Access
3D polarimetry of laser induced speckle fields for phase detection thyroid gland polycrystalline structure and traumatic necrosis of human internal organs
Olexander Ushenko, O.V. Bilookyi, Yu. A. Ushenko, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 7-7
Closed Access
Polarization-phase laser induced and holographic reconstruction of blood facies polycrystalline architectonics in the diagnosis of long-term consequences of COVID-19
Olexander Ushenko, N. Pavlyukovich, О. С. Хухліна, et al.
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019 (2024), pp. 11-11
Closed Access
Boosting Diagnostic Accuracy of Osteoporosis in Knee Radiograph Through Fine-Tuning CNN
Saumya Kumar, Puneet Goswami, Shivani Batra
Lecture notes in computer science (2024), pp. 97-109
Closed Access
Osteoporosis classification using VGG-16 and logistic regression: A radiograph and BMD data approach
Dipmala Salunke, Gayatri Joshi, S. Inamdar, et al.
Intelligent Decision Technologies (2024), pp. 1-19
Closed Access
Diagnostic accuracy of deep learning in prediction of osteoporosis: a systematic review and meta-analysis
Firouz Amani, Masoud Amanzadeh, Mahnaz Hamedan, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access
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