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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:

Machine learning methods in sport injury prediction and prevention: a systematic review
Hans Van Eetvelde, Luciana De Michelis Mendonça, Christophe Ley, et al.
Journal of Experimental Orthopaedics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 174

Showing 1-25 of 174 citing articles:

Machine learning and conventional statistics: making sense of the differences
Christophe Ley, R. Kyle Martin, Ayoosh Pareek, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 3, pp. 753-757
Open Access | Times Cited: 119
Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 19
Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospective cohort study over an athletics season
Pierre‐Eddy Dandrieux, Laurent Navarro, David Blanco, et al.
BMJ Open Sport & Exercise Medicine (2025) Vol. 11, Iss. 1, pp. e002331-e002331
Open Access | Times Cited: 1
Traumatic muscle injury
Pascal Édouard, Gustaaf Reurink, Abigail L. Mackey, et al.
Nature Reviews Disease Primers (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 26
Reconstruction of the anterior cruciate ligament: a historical view
Riccardo D’Ambrosi, Amit Meena, Ekjot Singh Arora, et al.
Annals of Translational Medicine (2023) Vol. 11, Iss. 10, pp. 364-364
Open Access | Times Cited: 23
The Role of Sport Psychology in Injury Prevention and Rehabilitation in Junior Athletes
Moritz Weiß, Matthias Büttner, Fabio Richlan
Behavioral Sciences (2024) Vol. 14, Iss. 3, pp. 254-254
Open Access | Times Cited: 9
Predicting noncontact injuries of professional football players using machine learning
Diogo Freitas, Sheikh Shanawaz Mostafa, Romualdo Caldeira, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315481-e0315481
Open Access | Times Cited: 1
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
R. Kyle Martin, Christophe Ley, Ayoosh Pareek, et al.
Knee Surgery Sports Traumatology Arthroscopy (2021) Vol. 30, Iss. 2, pp. 361-364
Open Access | Times Cited: 52
A Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in Soccer
Alessio Rossi, Luca Pappalardo, Paolo Cintia
Sports (2021) Vol. 10, Iss. 1, pp. 5-5
Open Access | Times Cited: 51
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature
Leandro Donisi, Giuseppe Cesarelli, Noemi Pisani, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3048-3048
Open Access | Times Cited: 37
Machine Learning for Understanding and Predicting Injuries in Football
Aritra Majumdar, Rashid Bakirov, Dan Hodges, et al.
Sports Medicine - Open (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 35
Just How Confident Can We Be in Predicting Sports Injuries? A Systematic Review of the Methodological Conduct and Performance of Existing Musculoskeletal Injury Prediction Models in Sport
Garrett S. Bullock, Joseph A. Mylott, Tom Hughes, et al.
Sports Medicine (2022) Vol. 52, Iss. 10, pp. 2469-2482
Closed Access | Times Cited: 35
A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy
Jacob F. Oeding, Linjun Yang, Joaquín Sánchez‐Sotelo, et al.
Knee Surgery Sports Traumatology Arthroscopy (2024) Vol. 32, Iss. 3, pp. 518-528
Closed Access | Times Cited: 6
Predicting daily recovery during long-term endurance training using machine learning analysis
Jeffrey A. Rothschild, Tom Stewart, Andrew E. Kilding, et al.
European Journal of Applied Physiology (2024) Vol. 124, Iss. 11, pp. 3279-3290
Open Access | Times Cited: 6
Application of Artificial Intelligence in rehabilitation science: A scientometric investigation Utilizing Citespace
Yang Ren, Qiong Yuan, Wuwu Zhang, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 4, pp. 100162-100162
Open Access | Times Cited: 6
Machine Learning Methods in Physical Therapy: A Scoping Review of applications in clinical context.
Felipe José Jandré dos Reis, Matheus Bartholazzi Lugão de Carvalho, Gabriela de Assis Neves, et al.
Musculoskeletal Science and Practice (2024) Vol. 74, pp. 103184-103184
Closed Access | Times Cited: 6
A unified machine learning framework for basketball team roster construction: NBA and WNBA
Yuhao Ke, Ranran Bian, Rohitash Chandra
Applied Soft Computing (2024) Vol. 153, pp. 111298-111298
Open Access | Times Cited: 5
Real-time sports injury monitoring system based on the deep learning algorithm
Luyao Ren, Yanyan Wang, Kaiyong Li
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics
Kobe C. Houtmeyers, Arne Jaspers, Pedro Figueiredo
International Journal of Sports Physiology and Performance (2021) Vol. 16, Iss. 11, pp. 1719-1723
Open Access | Times Cited: 32
An Overview of Machine Learning Applications in Sports Injury Prediction
Alfred Amendolara, Devin Pfister, Marina Settelmayer, et al.
Cureus (2023)
Open Access | Times Cited: 15
Relationship between a daily injury risk estimation feedback (I-REF) based on machine learning techniques and actual injury risk in athletics (track and field): protocol for a prospective cohort study over an athletics season
Pierre‐Eddy Dandrieux, Laurent Navarro, David Blanco, et al.
BMJ Open (2023) Vol. 13, Iss. 5, pp. e069423-e069423
Open Access | Times Cited: 13
A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges
Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre, et al.
Journal of Experimental Orthopaedics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13
A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives
Christopher B. Taber, Srishti Sharma, Mehul S. Raval, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Traditional games for physical fitness: an experimental study on elementary school students
Irvan Septianto, Sumaryanti Sumaryanti, Ahmad Nasrulloh, et al.
Retos (2024) Vol. 54, pp. 122-128
Open Access | Times Cited: 5
Data Mining Paths for Standard Weekly Training Load in Sub-Elite Young Football Players: A Machine Learning Approach
José E. Teixeira, Samuel Encarnação, Luís Branquinho, et al.
Journal of Functional Morphology and Kinesiology (2024) Vol. 9, Iss. 3, pp. 114-114
Open Access | Times Cited: 4
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