OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predicting long-term outcomes of ultrasound-guided percutaneous irrigation of calcific tendinopathy with the use of machine learning
Evangelia E. Vassalou, Michail E. Klontzas, Kostas Marias, et al.
Skeletal Radiology (2021) Vol. 51, Iss. 2, pp. 417-422
Closed Access | Times Cited: 11

Showing 11 citing articles:

Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review
Puneet Gupta, Heather S. Haeberle, Zachary R. Zimmer, et al.
JSES Reviews Reports and Techniques (2023) Vol. 3, Iss. 2, pp. 189-200
Open Access | Times Cited: 20

Artificial Intelligence in the Management of Rotator Cuff Tears
Filippo Familiari, Olimpio Galasso, Federica Massazza, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16779-16779
Open Access | Times Cited: 19

Ultrasound radiomics predict the success of US-guided percutaneous irrigation for shoulder calcific tendinopathy
Matthaios Triantafyllou, Evangelia E. Vassalou, Michail E. Klontzas, et al.
Japanese Journal of Radiology (2025)
Closed Access

Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies
Duncan Muir, Ahmed Elgebaly, Woo Jae Kim, et al.
European Journal of Orthopaedic Surgery & Traumatology (2025) Vol. 35, Iss. 1
Closed Access

Application of Artificial Intelligence in Shoulder Pathology
Cong Cheng, Xinzhi Liang, Dong Guo, et al.
(2024)
Open Access | Times Cited: 3

Diagnostic accuracy using artificial intelligence and ultrasound for rotator cuff pathology: A narrative review
Lisa B. McGuire
Sonography (2024) Vol. 11, Iss. 3, pp. 190-197
Closed Access | Times Cited: 1

Eklem koruma ve yapay zekâ
Halis Atıl Atilla, Fatih Barça
Türk Ortopedi ve Travmatoloji Birliği Derneği (2024) Vol. 23, Iss. 1, pp. 50-57
Open Access

Application of Artificial Intelligence in Shoulder Pathology
Cong Cheng, Xinzhi Liang, Dong Guo, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1091-1091
Open Access

Artificial Intelligence in Orthopedic Sports Medicine
Thomas G. Myers, Sandeep Mannava
Springer eBooks (2024), pp. 1-26
Closed Access

Research in Musculoskeletal Radiology: Setting Goals and Strategic Directions
Michail E. Klontzas, Apostolos H. Karantanas
Seminars in Musculoskeletal Radiology (2022) Vol. 26, Iss. 03, pp. 354-358
Closed Access | Times Cited: 2

Application of Machine Learning Algorithms for Prognostic Assessment in Rotator Cuff Pathologies: A Clinical Data-Based Approach
Umile Giuseppe Longo, Calogero Di Naro, Simona Campisi, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2915-2915
Open Access

Page 1

Scroll to top