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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 Narrative Review for a Machine Learning Application in Sports: An Example Based on Injury Forecasting in Soccer
Alessio Rossi, Luca Pappalardo, Paolo Cintia
Sports (2021) Vol. 10, Iss. 1, pp. 5-5
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

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
A novel approach for sports injury risk prediction: based on time-series image encoding and deep learning
Xiaohong Ye, Yuanqi Huang, Zhanshuang Bai, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 4
Intelligent Classifiers for Football Player Performance Based on Machine Learning Models
Baydaa M. Merzah, Muayad Sadik Croock, Ahmed N. Rashid
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 2, pp. 173-183
Open Access | Times Cited: 1
Association between match-related physical activity profiles and playing positions in different tasks: A data driven approach
Guglielmo Pillitteri, Alessio Rossi, Paolo Cintia, et al.
Journal of Sports Sciences (2024) Vol. 42, Iss. 5, pp. 465-474
Closed Access | Times Cited: 1
Artificial Intelligence for Sport Injury Prediction
Robin L. Owen, Julian A. Owen, Seren L. Evans
(2024), pp. 69-79
Closed Access | Times Cited: 1
A Novel Study on the Functional Capacity of Athletes and Its Influence on Their Fear of Pain and Injuries
Rocío Elizabeth Duarte Ayala, David Pérez-Granados, Mauricio Alberto Ortega-Ruíz, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8062-8062
Open Access | Times Cited: 1
Translating player monitoring into training prescriptions: Real world soccer scenario and practical proposals
Guglielmo Pillitteri, Filipe Manuel Clemente, Hugo Sarmento, et al.
International Journal of Sports Science & Coaching (2024)
Closed Access | Times Cited: 1
Prediction of soccer clubs’ league rankings by machine learning methods: The case of Turkish Super League
Abdullah Erdal Tümer, Zeki Akyıldız, Aytek Hikmet Güler, et al.
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology (2022)
Closed Access | Times Cited: 6
Statistical injury prediction for professional sumo wrestlers: Modeling and perspectives
Shuhei Ota, Mitsuhiro Kimura
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283242-e0283242
Open Access | Times Cited: 3
Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: a machine learning approach
Vincenzo Manzi, Cristian Savoia, Elvira Padua, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 3
Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables
Fatma Hilal Yağın, Uday Hasan, Filipe Manuel Clemente, et al.
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology (2023)
Closed Access | Times Cited: 2
Data-Driven Player Recruitment in Football
Asit Pradeep Singh, M Suguna
(2023) Vol. 11, pp. 844-850
Closed Access | Times Cited: 2
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
Real-time Classification, Localization and Tracking System (Based on Rhythmic Gymnastics)
Анастасія Нескородєва, Maksym Strutovskyi, A. V. Baiev, et al.
(2023), pp. 11-16
Closed Access | Times Cited: 1
Optical wearable sensor based player injury detection with movement analysis using hybrid machine learning model
Ke Ni, Hailong Li
Optical and Quantum Electronics (2024) Vol. 56, Iss. 3
Closed Access
Recent Advancements in Data Mining and Machine Learning Applications in Evaluating Goalkeepers’ Performances in Elite Football
Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Aina Munirah Ab Rasid, et al.
SpringerBriefs in applied sciences and technology (2024), pp. 1-11
Closed Access
Unsupervised Explainable Activity Prediction in Competitive Nordic Walking from Experimental Data
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González‐Castaño, et al.
IEEE Consumer Electronics Magazine (2024) Vol. 13, Iss. 6, pp. 37-55
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
Non-contact lower limb injuries in Rugby Union: A two-year pattern recognition analysis of injury risk factors
Seren L. Evans, Robin Owen, Gareth Whittaker, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0307287-e0307287
Open Access
Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors
Lu Kang, Xiaodong Cao, Lixia Wang, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access
Automatic Segmentation of Table Tennis Match Video Clips Based on Player Actions for Enhanced Data Acquisition
Zhong-Kai Wei, Jieh-Ren Chang
Journal of Advances in Information Technology (2024) Vol. 15, Iss. 12, pp. 1374-1379
Open Access
VO2maxprediction based on submaximal cardiorespiratory relationships and body composition in male runners and cyclists: a population study
Szczepan Wiecha, Przemysław Seweryn Kasiak, Piotr Szwed, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Deep Learning-based System for Real-time Segmented Timing and Acceleration Analysis in Swimming
Fu-Sung Lin, Yung‐Ming Chen, Yu‐Hao Li, et al.
(2023), pp. 332-334
Closed Access
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data
Dan Hudson, Ruud J. R. Den Hartigh, Laurentius A. Meerhoff, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2023), pp. 949-957
Open Access

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