Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 15 citing articles:

Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities
Ahmet Çağdaş Seçkin, Bahar Ateş, Mine Seçkin
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10399-10399
Open Access | Times Cited: 80
Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach
Reza Saberisani, Amir Hossein Barati, Mostafa Zarei, et al.
Frontiers in Sports and Active Living (2025) Vol. 7
Open Access
Python library for interval-valued fuzzy inference
Krzysztof Dyczkowski, Piotr Grochowalski, Dawid Kosior, et al.
SoftwareX (2024) Vol. 26, pp. 101730-101730
Open Access | Times Cited: 4
Microfluidic Wearable Devices for Sports Applications
Fangyuan Ju, Yujie Wang, Binfeng Yin, et al.
Micromachines (2023) Vol. 14, Iss. 9, pp. 1792-1792
Open 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
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
Machine learning approaches to injury risk prediction in sport:a scoping review with evidence synthesis
Christopher Leckey, Nicol van Dyk, Cailbhe Doherty, et al.
British Journal of Sports Medicine (2024), pp. bjsports-108576
Open Access | Times Cited: 2
Identification of Potential Injury Risk Factors and Prediction Model Construction of Athletes using Data Mining Algorithm
Qiang Chen
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2048-2058
Open Access | Times Cited: 1
Technological Solution in Real Time Based on IoT Devices to Optimize Soccer Team Training
Hiro Macuri, R. Castro, Juan-Pablo Mansilla
Communications in computer and information science (2024), pp. 72-86
Closed Access
Comparative analysis of external load in small-sided games versus official matches among professional football players
Kaan Kaya, Barış Gürol, Selçuk Tarakcı
Physical Education of Students (2024) Vol. 28, Iss. 4, pp. 195-209
Open Access
Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques
Michal Rafal Zareba, Tomasz Piłka, Tomasz Górecki, et al.
Proceedings of the International Conference on Information Systems Development (2024)
Closed Access
Sensor-Based Injury Prediction in Football Using a New Interval-Valued Fuzzy Inference Library
Krzysztof Dyczkowski, Bartłomiej Grzelak, Tomasz Górecki, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2024), pp. 1-8
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
Comparative Evaluation of Machine Learning Models for Predicting Soccer Injury Types
Davronbek Malikov, Jaeho Kim
(2023)
Open Access | Times Cited: 1
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
Page 1

Scroll to top