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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:

A review of machine learning applications in soccer with an emphasis on injury risk
George P. Nassis, Evert Verhagen, João Brito, et al.
Biology of Sport (2022) Vol. 40, Iss. 1, pp. 233-239
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Predicting Injuries in Football Based on Data Collected from GPS-Based Wearable Sensors
Tomasz Piłka, Bartłomiej Grzelak, Aleksandra Sadurska, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1227-1227
Open Access | Times Cited: 15
A Machine Learning Model for Post-Concussion Musculoskeletal Injury Risk in Collegiate Athletes
Claudio C. Claros-Olivares, Melissa N. Anderson, Wei Qian, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach
Iyán Iván‐Baragaño, Antonio Ardá, José Luís Losada, et al.
Frontiers in Psychology (2025) Vol. 16
Open Access
Identifying Soccer Players’ Playing Styles: A Systematic Review
Spyridon Plakias, Serafeim Moustakidis, Christos Kokkotis, et al.
Journal of Functional Morphology and Kinesiology (2023) Vol. 8, Iss. 3, pp. 104-104
Open Access | Times Cited: 15
An Overview of Machine Learning Applications in Sports Injury Prediction
Alfred Amendolara, Devin Pfister, Marina Settelmayer, et al.
Cureus (2023)
Open Access | Times Cited: 14
Predictive Modeling of Injury Risk Based on Body Composition and Selected Physical Fitness Tests for Elite Football Players
Francisco Martins, Krzysztof Przednówek, Cíntia França, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 16, pp. 4923-4923
Open Access | Times Cited: 14
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
Relationship between external and internal load indicators and injury using machine learning in professional soccer: a systematic review and meta-analysis
Guglielmo Pillitteri, Luca Petrigna, Salvatore Ficarra, et al.
Research in Sports Medicine (2023) Vol. 32, Iss. 6, pp. 902-938
Closed Access | Times Cited: 8
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: 2
Analyzing ECG signals in professional football players using machine learning techniques
Adolfo Antonio Munoz-Macho, Manuel Domínguez-Morales, José Luis Sevillano
Heliyon (2024) Vol. 10, Iss. 5, pp. e26789-e26789
Open Access | Times Cited: 2
Enhancing Sports Injury Risk Assessment in Soccer Through Machine Learning and Training Load Analysis
Theodoros Tsilimigkras, Iοannis Kakkos, George K. Matsopoulos, et al.
Journal of Sports Science and Medicine (2024), pp. 537-547
Open Access | Times Cited: 2
Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods
Carmina Liana Mușat, Claudiu Mereuţă, Aurel Nechita, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2516-2516
Open Access | Times Cited: 2
Injury Prediction in Sports using Artificial Intelligence Applications: A Brief Review
G. Syam Kumar, M. Dilip Kumar, Sareddy Venkata Rami Reddy, et al.
Journal of Robotics and Control (JRC) (2023) Vol. 5, Iss. 1, pp. 16-26
Open Access | Times Cited: 6
Process mining to investigate the relationship between clinical antecedents and injury risk, severity and return to play in professional sports
Ramón Pi, Evert Verhagen, Miriam Blanc, et al.
BMJ Open Sport & Exercise Medicine (2024) Vol. 10, Iss. 2, pp. e001890-e001890
Open Access | Times Cited: 1
Managing Lower Limb Muscle Reinjuries in Athletes: From Risk Factors to Return-to-Play Strategies
Stefano Palermi, Filippo Vittadini, Marco Vecchiato, et al.
Journal of Functional Morphology and Kinesiology (2023) Vol. 8, Iss. 4, pp. 155-155
Open Access | Times Cited: 4
Identifying Key Factors for Securing a Champions League Position in French Ligue 1 Using Explainable Machine Learning Techniques
Spyridon Plakias, Christos Kokkotis, Michalis Mitrotasios, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8375-8375
Open Access | Times Cited: 1
Enhancing Martial Arts Safety Through 6G-Enabled Risk Assessment and Alert Systems
WenYan Liu, Zhen Wang
International Journal of Information System Modeling and Design (2024) Vol. 15, Iss. 1, pp. 1-19
Open Access
Forecasting sports-related injuries using wearable devices and data analysis methods
Balnur Kenjayeva, Moldir Kizdarbekova, Mirambek Murzabekov
Retos (2024) Vol. 58, pp. 1125-1133
Open Access
Predictive models of injury risk in male professional football players: a systematic review
Francisco Martins, Krzysztof Przednówek, F. Santos, et al.
Injury Prevention (2024), pp. ip-045322
Closed Access
Early steroid detection in athlete players using quantum photonics and machine learning model based analysis
Changfeng Ning, Menglu Li, Linna Ge
Optical and Quantum Electronics (2024) Vol. 56, Iss. 4
Closed Access
Evolution of the Beautiful Game: Analytics and Virtual Reality
P.P. Parekh, Richard O. Oyeleke
Lecture notes in computer science (2024), pp. 292-308
Closed Access
Integrating Machine Learning and Wearable Technology to Prevent Musculoskeletal Injuries in Military Training: A Natural Science Approach
Cecep Mustafa, Rita Komalasari
SSRN Electronic Journal (2024)
Closed Access
An Educational Review on Machine Learning: A SWOT Analysis for Implementing Machine Learning Techniques in Football
Marco Beato, Mohamed Hisham Jaward, George P. Nassis, et al.
International Journal of Sports Physiology and Performance (2024), pp. 1-9
Closed Access
Fusion of a Fuzzy Rule-Based Method and Other Decision-Making Models in Injury Prediction Problem in Football
Aleksandra Sadurska, Tomasz Piłka, Bartłomiej Grzelak, et al.
(2023)
Closed Access | Times Cited: 1
Machine Learning Techniques for Analyzing Athletic Performance in Sports using GWO-CNN Model
Gokul Radhakrishnan, T. Parasuraman, D. Harigaran, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 925-931
Closed Access | Times Cited: 2
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