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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:

A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods
Yaodong Du, Rania Almajalid, Juan Shan, et al.
IEEE Transactions on NanoBioscience (2018) Vol. 17, Iss. 3, pp. 228-236
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Phenotypes of osteoarthritis: current state and future implications.
Leticia A. Deveza, Amanda E. Nelson, Richard F. Loeser
PubMed (2019) Vol. 37 Suppl 120, Iss. 5, pp. 64-72
Closed Access | Times Cited: 115
Machine learning in knee osteoarthritis: A review
Christos Kokkotis, Serafeim Moustakidis, Elpiniki I. Papageorgiou, et al.
Osteoarthritis and Cartilage Open (2020) Vol. 2, Iss. 3, pp. 100069-100069
Open Access | Times Cited: 113
A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data
Jihye Lim, Jungyoon Kim, Song-Hee Cheon
International Journal of Environmental Research and Public Health (2019) Vol. 16, Iss. 7, pp. 1281-1281
Open Access | Times Cited: 80
Identifying Severity Grading of Knee Osteoarthritis from X-ray Images Using an Efficient Mixture of Deep Learning and Machine Learning Models
Sozan Mohammed Ahmed, Ramadhan J. Mstafa
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2939-2939
Open Access | Times Cited: 43
Use of machine learning in osteoarthritis research: a systematic literature review
Marie Binvignat, Valentina Pedoia, Atul J. Butte, et al.
RMD Open (2022) Vol. 8, Iss. 1, pp. e001998-e001998
Open Access | Times Cited: 42
A Comprehensive Survey on Bone Segmentation Techniques in Knee Osteoarthritis Research: From Conventional Methods to Deep Learning
Sozan Mohammed Ahmed, Ramadhan J. Mstafa
Diagnostics (2022) Vol. 12, Iss. 3, pp. 611-611
Open Access | Times Cited: 36
CT- and MRI-Based 3D Reconstruction of Knee Joint to Assess Cartilage and Bone
Federica Kiyomi Ciliberti, Lorena Guerrini, Arnar Evgeni Gunnarsson, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 279-279
Open Access | Times Cited: 33
Evaluating the efficacy of deep learning models for knee osteoarthritis prediction based on Kellgren-Lawrence grading system
V. Vijaya Kishore, V. Kalpana, G. Hemanth Kumar
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 5, pp. 100266-100266
Open Access | Times Cited: 13
A Multi-view Graph Neural Network Approach for Magnetic Resonance Imaging-Based Diagnosis of Knee Injuries
Bin Deng, Jingjing Pan, Xiaoyu Tang, et al.
Communications in computer and information science (2025), pp. 233-246
Closed Access
MPFCNet: multi-scale parallel feature fusion convolutional network for 3D knee segmentation from MR images
Hanzheng Zhang, WU Qing, Xing Zhao, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Closed Access
Use of Computational Modeling to Study Joint Degeneration: A Review
Satanik Mukherjee, Majid Nazemi, Ilse Jonkers, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 34
Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis
Shaohui Wang, Ya Hou, Xuanhao Li, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 27
Prediction Models for Knee Osteoarthritis: Review of Current Models and Future Directions.
Taghi Ramazanian, Sunyang Fu, Sunghwan Sohn, et al.
PubMed (2023) Vol. 11, Iss. 1, pp. 1-11
Closed Access | Times Cited: 11
DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis initiative
Jiaping Hu, Chuanyang Zheng, Qingling Yu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 4852-4866
Open Access | Times Cited: 11
Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review
Yun Xin Teoh, Alice Othmani, Siew Li Goh, et al.
IEEE Access (2024) Vol. 12, pp. 109080-109108
Open Access | Times Cited: 3
Prediction of Joint Space Narrowing Progression in Knee Osteoarthritis Patients
Charis Ntakolia, Christos Kokkotis, Serafeim Moustakidis, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 285-285
Open Access | Times Cited: 26
AI MSK clinical applications: cartilage and osteoarthritis
Gabby B. Joseph, Charles E. McCulloch, Jae Ho Sohn, et al.
Skeletal Radiology (2021) Vol. 51, Iss. 2, pp. 331-343
Closed Access | Times Cited: 23
Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database
David Demanse, Franziska Saxer, P Lustenberger, et al.
Seminars in Arthritis and Rheumatism (2022) Vol. 58, pp. 152140-152140
Open Access | Times Cited: 17
Role of advanced MRI techniques for sacroiliitis assessment and quantification
Teodoro Martín‐Noguerol, Oscar L. Casado-Verdugo, Luis Beltrán, et al.
European Journal of Radiology (2023) Vol. 163, pp. 110793-110793
Closed Access | Times Cited: 10
Magnetic resonance imaging assessments for knee segmentation and their use in combination with machine/deep learning as predictors of early osteoarthritis diagnosis and prognosis
Johanne Martel‐Pelletier, Patrice Paiement, Jean‐Pierre Pelletier
Therapeutic Advances in Musculoskeletal Disease (2023) Vol. 15
Open Access | Times Cited: 10
Gait, physical activity and tibiofemoral cartilage damage: a longitudinal machine learning analysis in the Multicenter Osteoarthritis Study
K.E. Costello, David T. Felson, S. Reza Jafarzadeh, et al.
British Journal of Sports Medicine (2023) Vol. 57, Iss. 16, pp. 1018-1024
Open Access | Times Cited: 9
Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review
Avishek Choudhury, Emily Renjilian, Onur Asan
JAMIA Open (2020) Vol. 3, Iss. 3, pp. 459-471
Open Access | Times Cited: 26
Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction
Kun Hu, Wenhua Wu, Wei Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3207-3217
Open Access | Times Cited: 14
Identification of Risk Factors and Machine Learning-Based Prediction Models for Knee Osteoarthritis Patients
Christos Kokkotis, Serafeim Moustakidis, Giannis Giakas, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6797-6797
Open Access | Times Cited: 23
Phenotypes in Osteoarthritis
Murillo Dório, Leticia A. Deveza
Clinics in Geriatric Medicine (2022) Vol. 38, Iss. 2, pp. 273-286
Closed Access | Times Cited: 13
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