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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:

Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care
Garrett S. Bullock, Tom Hughes, Amelia H. Arundale, et al.
Sports Medicine (2022) Vol. 52, Iss. 8, pp. 1729-1735
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Artificial intelligence and machine-learning approaches in sports: Concepts, applications, challenges, and future perspectives
Felipe José Jandré dos Reis, Rafael Krasic Alaiti, Caio Sain Vallio, et al.
Brazilian Journal of Physical Therapy (2024) Vol. 28, Iss. 3, pp. 101083-101083
Open Access | Times Cited: 14
An Improved Ensemble Method for Predicting Hyperchloremia in Adults With Diabetic Ketoacidosis
George Obaido, Blessing Ogbuokiri, C. W. Chukwu, et al.
IEEE Access (2024) Vol. 12, pp. 9536-9549
Open Access | Times Cited: 10
Head Exposure to Acceleration Database in Sport (HEADSport): a kinematic signal processing method to enable instrumented mouthguard (iMG) field-based inter-study comparisons
Gregory Tierney, Steven Rowson, Ryan A. Gellner, et al.
BMJ Open Sport & Exercise Medicine (2024) Vol. 10, Iss. 1, pp. e001758-e001758
Open Access | Times Cited: 6
Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose
Marion Mundt, Zachery Born, Molly Goldacre, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 78-78
Open Access | Times Cited: 23
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
Predictive utility of commercial grade technologies for assessing musculoskeletal injury risk in US Marine Corps Officer candidates
Matthew B. Bird, Kristen J. Koltun, Qi Mi, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 12
Players’, Head Coaches', And Medical Personnels' Knowledge, Understandings and Perceptions of Injuries and Injury Prevention in Elite-Level Women’s Football in Ireland
Dan Horan, Seamus Kelly, Martin Hägglund, et al.
Sports Medicine - Open (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 11
Using a Bayesian network to classify time to return to sport based on football injury epidemiological data
Kate K. Yung, Paul Wu, Karen aus der Fünten, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0314184-e0314184
Open Access
Evaluating Heat Risk: Comparing On‐Site WBGT Measurements Versus Smartphone Application Estimates
Andrew Grundstein, Susan W. Yeargin, Earl R. Cooper, et al.
GeoHealth (2025) Vol. 9, Iss. 3
Open Access
A context-enhanced deep learning approach to predict baseball pitch location from ball tracking release metrics
R. Connor Moore, Reed D. Gurchiek, Jason M. Avedesian
Sports Engineering (2025) Vol. 28, Iss. 1
Open Access
Precision Rehabilitation After Youth Anterior Cruciate Ligament Reconstruction: Individualized Reinjury Risk Stratification and Modifiable Risk Factor Identification to Guide Late-Phase Rehabilitation
Elliot Greenberg, Amanda Watson, Kimberly Helm, et al.
Orthopaedic Journal of Sports Medicine (2025) Vol. 13, Iss. 4
Open Access
Comment on “Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care”
Honglin Song, Tianbiao Liu
Sports Medicine (2025)
Closed Access
Forecasting football injuries by combining screening, monitoring and machine learning
Anne Hecksteden, Georges P Schmartz, Yanni Egyptien, et al.
Science and Medicine in Football (2022) Vol. 7, Iss. 3, pp. 214-228
Closed Access | Times Cited: 16
Predictive modeling of the ratings of perceived exertion during training and competition in professional soccer players
Emmanuel Vallance, Nicolas Sutton-Charani, Patrice Guyot, et al.
Journal of science and medicine in sport (2023) Vol. 26, Iss. 6, pp. 322-327
Open Access | Times Cited: 8
Physiological biomarker monitoring during arduous military training: Maintaining readiness and performance
Kristen J. Koltun, Matthew B. Bird, Jennifer N. Forse, et al.
Journal of science and medicine in sport (2022) Vol. 26, pp. S64-S70
Closed Access | Times Cited: 11
Comment on: Machine Learning for Understanding and Predicting Injuries in Football
Garrett S. Bullock, Patrick Ward, Gary S. Collins, et al.
Sports Medicine - Open (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Bridging the lab-to-field gap using machine learning: a narrative review
Marion Mundt
Sports Biomechanics (2023), pp. 1-20
Open Access | Times Cited: 3
Uncertainty Quantification in Medicine Science: The Next Big Step
Ziad Akram Ali Hammouri, Pablo Rodríguez Mier, Paulo Félix, et al.
Archivos de Bronconeumología (2023) Vol. 59, Iss. 11, pp. 760-761
Open Access | Times Cited: 3
Integrating Machine Learning for Football Injury Prediction: A Concept for an Intelligent System
Marcin Prys, Łukasz Rosiński, Rafał Buryta, et al.
Procedia Computer Science (2023) Vol. 225, pp. 4139-4147
Open Access | Times Cited: 3
Quantum photonics advancements enhancing health and sports performance
Zhen Wang, Xiao-Hong Luo, Liyong Quan
Optical and Quantum Electronics (2023) Vol. 56, Iss. 3
Closed Access | Times Cited: 2
Comment on: “Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care”
Franck Brocherie, Tom Chassard, Jean‐François Toussaint, et al.
Sports Medicine (2022) Vol. 52, Iss. 11, pp. 2797-2798
Closed Access | Times Cited: 3
Response to Comment on: “Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care”
Garrett S. Bullock, Tom Hughes, Amelia A. J. H. Arundale, et al.
Sports Medicine (2022) Vol. 53, Iss. 1, pp. 297-299
Closed Access | Times Cited: 3
Exploración de las métricas de carga externa en el balonmano de equipo: Un estudio del Campeonato Europeo Masculino Sub-20
João Freitas, Luisa Estriga
E-balonmano com Journal Sports Science (2024) Vol. 20, Iss. 2, pp. 143-154
Open Access
A machine learning framework to classify musculoskeletal injury risk groups in military service members
Matthew B. Bird, Megan H. Roach, Roberts G. Nelson, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
The Ethics of AI in Medical Research: A Call for Open and Honest Discussion
Shazma Tahseen, Muhammad Ali Memon, Shah Muhammad Kamran, et al.
Liaquat Medical Research Journal (2024) Vol. 6, Iss. 2
Open Access
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