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:

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: 25

Showing 25 citing articles:

AI applications in musculoskeletal imaging: a narrative review
Salvatore Gitto, Francesca Serpi, Domenico Albano, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 21

Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022
Çiğdem Özkan, Cem M. Deniz
Osteoarthritis Imaging (2023) Vol. 3, Iss. 3, pp. 100161-100161
Open Access | Times Cited: 11

Machine learning for anterior cruciate ligament and meniscus analysis in knee MRI: A comprehensive review
Congjing Yu, Changzhen Qiu, Zhiyong Zhang
Displays (2025), pp. 103032-103032
Closed Access

Applications of AI in precision agriculture
Garima Gupta, Santanu Pal
Discover Agriculture (2025) Vol. 3, Iss. 1
Open Access

AI in Agriculture: The Applications of Technological Advancements in Precision Farming
Garima Gupta, Santanu Pal, Yagya Dev Mishra, et al.
SSRN Electronic Journal (2025)
Closed Access

Quantitative measurement of cartilage morphology in osteoarthritis: current knowledge and future directions
W. Wirth, C. Ladel, S. Maschek, et al.
Skeletal Radiology (2022) Vol. 52, Iss. 11, pp. 2107-2122
Open Access | Times Cited: 19

Diagnostic Performance of an Artificial Intelligence Software for the Evaluation of Bone X-Ray Examinations Referred from the Emergency Department
Alejandro Díaz Moreno, Raquel Cano Alonso, Ana Fernández Alfonso, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 491-491
Open Access

Clinical validation of fully automated laminar knee cartilage transverse relaxation time (T2) analysis in anterior cruciate ligament (ACL)-injured knees— on behalf of the osteoarthritis (OA)-Bio consortium
F. Eckstein, Nicholas M. Brisson, S. Maschek, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 7, pp. 4319-4332
Open Access | Times Cited: 3

Imaging of early-stage osteoarthritis: the needs and challenges for diagnosis and classification
E.H. Oei, J. Runhaar
Skeletal Radiology (2023) Vol. 52, Iss. 11, pp. 2031-2036
Open Access | Times Cited: 7

Articular cartilage regeneration: A current concepts review
Abhishek Vaish, Raju Vaishya
Journal of Arthroscopic Surgery and Sports Medicine (2024) Vol. 5, pp. 90-95
Closed Access | Times Cited: 2

Deep learning to combat knee osteoarthritis and severity assessment by using CNN-based classification
Suman Rani, Minakshi Memoria, Ahmad Almogren, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2

Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions
Amanda E. Nelson, Liubov Arbeeva
The Journal of Rheumatology (2022), pp. jrheum.220326-jrheum.220326
Open Access | Times Cited: 11

Latest advancements in imaging techniques in OA
Daichi Hayashi, Frank W. Roemer, Thomas M. Link, et al.
Therapeutic Advances in Musculoskeletal Disease (2022) Vol. 14
Open Access | Times Cited: 11

Osteoarthritis year in review 2023: Imaging
Mohamed Jarraya, Ali Guermazi, Frank W. Roemer
Osteoarthritis and Cartilage (2023) Vol. 32, Iss. 1, pp. 18-27
Closed Access | Times Cited: 6

Original research: utilization of a convolutional neural network for automated detection of lytic spinal lesions on body CTs
Connie Y. Chang, Florian A. Huber, Kaitlyn J. Yeh, et al.
Skeletal Radiology (2023) Vol. 52, Iss. 7, pp. 1377-1384
Closed Access | Times Cited: 5

Quantitative and Compositional MRI of the Articular Cartilage: A Narrative Review
Domenico Albano, Umberto Viglino, Francesco Esposito, et al.
Tomography (2024) Vol. 10, Iss. 7, pp. 949-969
Open Access | Times Cited: 1

Bone Marrow Lesions in Osteoarthritis: Characterising Genetic and Histological Changes to Understand Disease Pathophysiology
Nidhi Sofat, Franklyn A. Howe
Osteoarthritis and Cartilage Open (2024) Vol. 6, Iss. 4, pp. 100531-100531
Open Access | Times Cited: 1

Validating a Semi-Automated Technique for Segmenting Femoral Articular Cartilage on Ultrasound Images
Matthew S. Harkey, Nicholas Michel, Christopher Kuenze, et al.
Cartilage (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 7

Novel Hybrid Optimized Clustering Schemes with Genetic Algorithm and PSO for Segmentation and Classification of Articular Cartilage Loss from MR Images
Jan Kubíček, Alice Varyšová, Martin Černý, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 1027-1027
Open Access | Times Cited: 2

The Role of Artificial Intelligence in Osteoarthritis
Arash Azhideh, Atefe Pooyan, Ehsan Alipour, et al.
Seminars in Roentgenology (2024) Vol. 59, Iss. 4, pp. 518-525
Closed Access

Machine learning algorithms for diagnosing of knee osteoarthritis using radiographs
H. Abdalla, Sadik Kamel Gharghan, Hayfaa Abdulzahra Atee
AIP conference proceedings (2024) Vol. 3232, pp. 020036-020036
Closed Access

Ultrasound assessed thigh fat thickness is valid for estimating body fat percentage in division I collegiate female athletes
Jessica Tolzman, Katherine A. Collins, Corey D. Grozier, et al.
Journal of science and medicine in sport (2024)
Closed Access

LigaNET: A multi-modal deep learning approach to predict the risk of subsequent anterior cruciate ligament injury after surgery
Mo Han, Mallika Singh, Davood Karimi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

Application of a Deep Learning Approach to Analyze Large-Scale MRI Data of the Spine
Felix Streckenbach, Gundram Leifert, Thomas R. Beyer, et al.
Healthcare (2022) Vol. 10, Iss. 11, pp. 2132-2132
Open Access | Times Cited: 1

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