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 applications in osteoarthritis imaging
Richard Kijowski, Jan Fritz, Cem M. Deniz
Skeletal Radiology (2023) Vol. 52, Iss. 11, pp. 2225-2238
Open Access | Times Cited: 16

Showing 16 citing articles:

Integrating Radiomics and Neural Networks for Knee Osteoarthritis Incidence Prediction
Shengfa Li, Peihua Cao, Jia Li, et al.
Arthritis & Rheumatology (2024) Vol. 76, Iss. 9, pp. 1377-1386
Closed Access | Times Cited: 7

The role of imaging in osteoarthritis
Eun Hae Park, Jan Fritz
Best Practice & Research Clinical Rheumatology (2023) Vol. 37, Iss. 2, pp. 101866-101866
Closed Access | Times Cited: 14

Classification models for arthropathy grades of multiple joints based on hierarchical continual learning
Bong Kyung Jang, S.A. Kim, Jae Yong Yu, et al.
La radiologia medica (2025)
Closed Access

MR-Imaging in Osteoarthritis: Current Standard of Practice and Future Outlook
Jonathan Ehmig, Günther Engel, Joachim Lotz, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2586-2586
Open Access | Times Cited: 10

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

Kellgren-Lawrence Grading of Knee Osteoarthritis using Deep Learning: Diagnostic Performance with External Dataset and Comparison with Four Readers
Elias Vaattovaara, Egor Panfilov, Aleksei Tiulpin, et al.
Osteoarthritis and Cartilage Open (2025) Vol. 7, Iss. 2, pp. 100580-100580
Open Access

OA-HybridCNN (OHC): An advanced deep learning fusion model for enhanced diagnostic accuracy in knee osteoarthritis imaging
Yihan Liao, Haiyang Yu, W. David Pan, et al.
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0322540-e0322540
Open Access

Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis
Peng Luo, Lü Li, Run Xu, et al.
Current Rheumatology Reports (2024) Vol. 26, Iss. 9, pp. 311-320
Closed Access | Times Cited: 2

The design of a sample rapid magnetic resonance imaging (MRI) acquisition protocol supporting assessment of multiple articular tissues and pathologies in knee osteoarthritis
F. Eckstein, Thula Walter, Akshay Chaudhari, et al.
Osteoarthritis and Cartilage Open (2024) Vol. 6, Iss. 3, pp. 100505-100505
Closed Access | Times Cited: 2

A Review for automated classification of knee osteoarthritis using KL grading scheme for X-rays
Tayyaba Tariq, Zobia Suhail, Zubair Nawaz
Biomedical Engineering Letters (2024) Vol. 15, Iss. 1, pp. 1-35
Closed Access | Times Cited: 2

3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative
Pauline Shan Qing Yeoh, Siew Li Goh, Khairunnisa Hasikin‬, et al.
IEEE Access (2023) Vol. 11, pp. 135323-135333
Open Access | Times Cited: 6

The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning
Lina Dai, Md Gapar Md Johar, Mohammed Hazim Alkawaz
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Deep learning approaches for osteoarthritis diagnosis via patient activity data and medical imaging: A review
H. Abdalla, Sadik Kamel Gharghan, Hayfaa Abdulzahra Atee
AIP conference proceedings (2024) Vol. 3232, pp. 040023-040023
Closed Access

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