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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:

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

Showing 1-25 of 43 citing articles:

Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network
Soaad M. Naguib, Mohamed A. Kassem, Hanaa M. Hamza, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31017-e31017
Open Access | Times Cited: 21
Osteo-NeT: An Automated System for Predicting Knee Osteoarthritis from X-ray Images Using Transfer-Learning-Based Neural Networks Approach
Hassan A. Alshamrani, Mamoon Rashid, Sultan S. Alshamrani, et al.
Healthcare (2023) Vol. 11, Iss. 9, pp. 1206-1206
Open Access | Times Cited: 24
Transfer Learning-Based Smart Features Engineering for Osteoarthritis Diagnosis From Knee X-Ray Images
Amjad Rehman, Ali Raza, Faten S. Alamri, et al.
IEEE Access (2023) Vol. 11, pp. 71326-71338
Open Access | Times Cited: 16
The value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis
Haoming Zhao, Liang Ou, Ziming Zhang, et al.
European Radiology (2024)
Open Access | Times Cited: 7
Hybrid Techniques of X-ray Analysis to Predict Knee Osteoarthritis Grades Based on Fusion Features of CNN and Handcrafted
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1609-1609
Open Access | Times Cited: 15
MedKnee: A New Deep Learning-Based Software for Automated Prediction of Radiographic Knee Osteoarthritis
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 993-993
Open Access | Times Cited: 5
Combining enhanced spectral resolution of EMG and a deep learning approach for knee pathology diagnosis
Ateka Khader, Ala’a Zyout, Amjed Al Fahoum
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302707-e0302707
Open Access | Times Cited: 4
CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis
Asif Islam, Mohammad Abu Tareq Rony
Journal of Pathology Informatics (2024) Vol. 15, pp. 100382-100382
Open Access | Times Cited: 4
The use of radiomic analysis of magnetic resonance imaging findings in predicting features of early osteoarthritis of the knee—a systematic review and meta-analysis
Martin S. Davey, Matthew G. Davey, Paddy Kenny, et al.
Irish Journal of Medical Science (1971 -) (2024) Vol. 193, Iss. 5, pp. 2525-2530
Open Access | Times Cited: 4
Predicting joint space changes in knee osteoarthritis over 6 years: a combined model of TransUNet and XGBoost
Jiangrong Guo, Pengfei Yan, Hao Luo, et al.
Quantitative Imaging in Medicine and Surgery (2025) Vol. 15, Iss. 2, pp. 1396-1410
Open Access
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
Attention-enhanced deep learning and machine learning framework for knee osteoarthritis severity detection in football players using X-ray images
Xu Wang, Tianpeng Wang, Zhanguo Su
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101428-101428
Closed Access
A Robust Framework for Severity Detection of Knee Osteoarthritis Using an Efficient Deep Learning Model
Rabbia Mahum, Aun Irtaza, Mohammed A. El-Meligy, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2023) Vol. 37, Iss. 07
Closed Access | Times Cited: 10
Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative
Yun Xin Teoh, Alice Othmani, Khin Wee Lai, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107807-107807
Open Access | Times Cited: 9
Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach
Manas Ranjan Prusty, Rohit Madhavan Sudharsan, Philip Anand
Applied Soft Computing (2024) Vol. 161, pp. 111714-111714
Closed Access | Times Cited: 3
Knee Osteoarthritis Analysis Using Deep Learning and XAI on X-Rays
Rafique Ahmed, Ali Shariq Imran
IEEE Access (2024) Vol. 12, pp. 68870-68879
Open Access | Times Cited: 3
Exosomes in Osteoarthritis: A Review on Their Isolation Techniques and Therapeutic Potential
Nazmul Huda Syed, Iffath Misbah, Maryam Azlan, et al.
Indian Journal of Orthopaedics (2024) Vol. 58, Iss. 7, pp. 866-875
Closed Access | Times Cited: 3
An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model
Bander Ali Saleh Al‐rimy, Faisal Saeed, Mohammed Al-Sarem, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1903-1903
Open Access | Times Cited: 7
A Comprehensive Review of Machine Learning’s Role within KOA
Suman Rani, Minakshi Memoria, Tanupriya Choudhury, et al.
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 2
How Can Artificial Intelligence Identify Knee Osteoarthritis from Radiographic Images with Satisfactory Accuracy?: A Literature Review for 2018–2024
Said Touahema, Imane Zaimi, Nabila Zrira, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6333-6333
Open Access | Times Cited: 2
Diagnosing the Severity of Knee Osteoarthritis Using Regression Scores From Artificial Intelligence Convolution Neural Networks
Michael Fei, Sarah Lu, Jun Ho Chung, et al.
Orthopedics (2024) Vol. 47, Iss. 5
Closed Access | Times Cited: 2
Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network
Abdul Haseeb, Muhammad Attique Khan, Faheem Shehzad, et al.
Computer Systems Science and Engineering (2023) Vol. 47, Iss. 2, pp. 2397-2415
Open Access | Times Cited: 6
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: 1
Deep Learning for Automated Kellgren–Lawrence Grading in Knee Osteoarthritis Severity Assessment
Daniel Nasef, Demarcus Nasef, Viola Sawiris, et al.
Surgeries (2024) Vol. 6, Iss. 1, pp. 3-3
Open Access | Times Cited: 1
Classification of knee osteoarthritis based on quantum-to-classical transfer learning
Yumin Dong, Xuanxuan Che, Yanying Fu, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 2
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