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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:

Blood sample profile helps to injury forecasting in elite soccer players
Alessio Rossi, Luca Pappalardo, Cristoforo Filetti, et al.
Sport Sciences for Health (2022) Vol. 19, Iss. 1, pp. 285-296
Open Access | Times Cited: 9

Showing 9 citing articles:

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
Performance and healthcare analysis in elite sports teams using artificial intelligence: a scoping review
Adolfo Antonio Munoz-Macho, Manuel Domínguez-Morales, José Luis Sevillano
Frontiers in Sports and Active Living (2024) Vol. 6
Open Access | Times Cited: 5
Blood-Based Biomarkers for Managing Workload in Athletes: Perspectives for Research on Emerging Biomarkers
Nils Haller, Thomas Reichel, Philipp Zimmer, et al.
Sports Medicine (2023) Vol. 53, Iss. 11, pp. 2039-2053
Open Access | Times Cited: 12
Predicting Injury and Illness with Machine Learning in Elite Youth Soccer: A Comprehensive Monitoring Approach over 3 Months
Nils Haller, Stefan Kranzinger, Christina Kranzinger, et al.
Journal of Sports Science and Medicine (2023), pp. 476-487
Open Access | Times Cited: 8
Artificial intelligence applications in the football codes: A systematic review
Isaiah Elstak, Paul M. Salmon, Scott McLean
Journal of Sports Sciences (2024) Vol. 42, Iss. 13, pp. 1184-1199
Open Access | Times Cited: 2
A novel lower extremity non-contact injury risk prediction model based on multimodal fusion and interpretable machine learning
Yuanqi Huang, Shengqi Huang, Yukun Wang, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 7
Application of Digital Technology in Athlete Training
月红 梁
Advances in Physical Sciences (2024) Vol. 12, Iss. 05, pp. 824-834
Closed Access
Data-Centric AI for predicting non-contact injuries in professional soccer players
Maria Raquel Thomaz Tertuliano de Melo, Matheus da Silveira Maia, Gabriel Padrão, et al.
(2024), pp. 167-180
Closed Access
Predicting Injury and Illness with Machine Learning in Elite Youth Soccer: A Comprehensive Monitoring Approach over 3 Months
Nils Haller, Stefan Kranzinger, Christina Kranzinger, et al.
Journal of Sports Science and Medicine (2023), pp. 475-486
Open Access
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