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:

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

Showing 14 citing articles:

Artificial intelligence and machine-learning approaches in sports: Concepts, applications, challenges, and future perspectives
Felipe José Jandre 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: 9

Predictive model for identifying mild cognitive impairment in patients with type 2 diabetes mellitus: A CHAID decision tree analysis
Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, et al.
Brain and Behavior (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 5

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

Predicting Sprint Potential: A Machine Learning Model Based on Blood Metabolite Profiles in Young Male Athletes
Chen Jing-feng, Yuhang Qian, Yuansheng Xu
European Journal of Sport Science (2025) Vol. 25, Iss. 3
Open Access

A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: A narrative review
Federico Roggio, Bruno Trovato, Martina Sortino, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e39977-e39977
Closed Access | Times Cited: 4

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

Gear Classification in Skating Cross-Country Skiing Using Inertial Sensors and Deep Learning
Antonio Pousibet-Garrido, Aurora Polo-Rodríguez, Juan Antonio Moreno-Pérez, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6422-6422
Open Access | Times Cited: 1

Microwave Digital Twin Prototype for Shoulder Injury Detection
Sahar Borzooei, Pierre-Henri Tournier, Victorita Dolean, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6663-6663
Open Access

Exploring CrossFit performance prediction and analysis via extensive data and machine learning
Byunggul Lim, Wook Song
The Journal of Sports Medicine and Physical Fitness (2024) Vol. 64, Iss. 7
Open Access

A SVM-Based Approach for Detecting Tendon Injury
Sahar Borzooei, Pierre-Henri Tournier, Victorita Dolean, et al.
(2024), pp. 1511-1512
Closed Access

Microwave Digital Twin Prototype for the Shoulder Injury Detection
Sahar Borzooei, Pierre-Henri Tournier, Victorita Dolean, et al.
(2024)
Open Access

Sports Medicine: What Artificial Intelligence Can Do for Preventing Athlete Injuries
Mirko Sileo
Mechanisms and machine science (2024), pp. 672-684
Closed Access

Risk prediction modeling in the context of machine learning for injury prevention in sports
Guojie Zhang, Zhipeng Zhao, Fei Xie
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access

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