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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:

Optimization analysis of football match prediction model based on neural network
Shuo Guan, Xiaochen Wang
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 2525-2541
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

An Ecological Dynamics Approach to the Use of Artificial Intelligence and Machine Learning to Analyze Performance in Football
Sofia Cristóvão‐Ferreira, Daniel Carrilho, Duarte Araújo
Springer optimization and its applications (2025), pp. 195-213
Closed Access
Real-Time Football Match Prediction Platform
Zhongqi An
ITM Web of Conferences (2025) Vol. 70, pp. 04003-04003
Open Access
SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners
Jassim Almulla, Mohammad Tariqul Islam, Hamada R. H. Al-Absi, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288933-e0288933
Open Access | Times Cited: 8
Novel LMI-based adaptive boundary synchronisation of fractional-order fuzzy reaction–diffusion BAM neural networks with leakage delay
V. Gokulakrishnan, R. Srinivasan, M. Syed Ali, et al.
International Journal of Systems Science (2023) Vol. 54, Iss. 16, pp. 2975-2998
Closed Access | Times Cited: 7
Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods
László Gyarmati, Éva Orbán-Mihálykó, Csaba Mihálykó, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4556-4556
Open Access | Times Cited: 6
Artificial intelligence applications in the football codes: A systematic review
Isaiah Elstak, Paul M. Salmon, Scott McLean
Journal of Sports Sciences (2024) Vol. 42, Iss. 13, pp. 1184-1199
Open Access | Times Cited: 2
Amateur football analytics using computer vision
Panagiotis Mavrogiannis, Ilias Maglogiannis
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19639-19654
Closed Access | Times Cited: 9
Modeling the gameplay actions of elite volleyball players and teams based on statistical match reports
Сергій Єрмаков, Tetiana Yermakova, Krzysztof Prusik
Pedagogy of Health (2023) Vol. 2, Iss. 2, pp. 50-64
Open Access | Times Cited: 5
Application of recurrent neural network in predicting athletes' sports achievement
Jiandong Hou, Zhisheng Tian
The Journal of Supercomputing (2021) Vol. 78, Iss. 4, pp. 5507-5525
Closed Access | Times Cited: 11
Construction of an Artificial Intelligence Writing Model for English Based on Fusion Neural Network Model
Meijin Hsiao, Maosheng Hung
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 7
Application of Deep Learning Technology in Strength Training of Football Players and Field Line Detection of Football Robots
Daliang Zhou, Gang Chen, Fei Xu
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 6
Prediction of Football Match Results Based on Edge Computing and Machine Learning Technology
Yunfei Li, Yubin Hong
International Journal of Mobile Computing and Multimedia Communications (2022) Vol. 13, Iss. 2, pp. 1-10
Open Access | Times Cited: 4
Mining and Prediction of Large Sport Tournament Data Based on Bayesian Network Models for Online Data
Junjian Wang
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 4
Event-Triggered Controller on Practically Exponential Input-to-State Stabilization of Stochastic Reaction–Diffusion Cohen–Grossberg Neural Networks and Its Application to Image Encryption
V. Gokulakrishnan, R. Srinivasan
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 11147-11171
Closed Access | Times Cited: 2
Application of Improved GM (1, 1) Model in Prediction of Training Results of 100 Meter Race
Hui Du
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 3
Football Match Results Predicting by Machine Learning Techniques
Sicheng Hu, Min Fu
2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) (2022) Vol. 11, pp. 72-76
Closed Access | Times Cited: 3
Event-triggered controller on practically exponential input-to-state stabilization of stochastic reaction-diffusion neural networks and its application to image encryption
V. Gokulakrishnan, R Sriniva
Research Square (Research Square) (2023)
Closed Access | Times Cited: 1
Use of Artificial Intelligence to Avoid Errors in Referring a Football Match
Mazi Essoloani Aleza, D. Vetrithangam
(2023) Vol. 6, pp. 1-6
Closed Access | Times Cited: 1
Predicting the outcome of future football games using machine learning algorithms
M Jaeyalakshmi, S Indrajith, Hirthik Shyam C, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 1
Football Momentum Analysis based on Logistic Regression
Zilu Wen, Jinyu Liu, Chenxi Liu
Frontiers in Computing and Intelligent Systems (2024) Vol. 7, Iss. 2, pp. 60-64
Open Access
Predicting the Outcomes of K-League Matches using Machine Learning Algorithms
Philsoo Kim, Sang Hyun Lee, Seong-Sam Jeon
Journal of Digital Contents Society (2024) Vol. 25, Iss. 4, pp. 1027-1037
Open Access
Analyzing and predicting football match results using deep learning
Pulluri Sreenivasgoud, K. Sridhar, Mohammad Sirajuddin, et al.
AIP conference proceedings (2024) Vol. 3170, pp. 020042-020042
Closed Access
Research on prediction and evaluation algorithm of sports athletes performance based on neural network
Kai Wang, Dongming Zhu, Zimin Chang, et al.
Technology and Health Care (2024), pp. 1-14
Closed Access
Novel adaptive boundary control for synchronization of fractional fuzzy Cohen-Grossberg BAM neural networks with reaction-diffusion and time-varying delay
V. Gokulakrishnan, R. Srinivasan
International Journal of Modelling and Simulation (2024), pp. 1-29
Closed Access
Exploring the Relationship Between Key Factors and Victory and Defeat in Volleyball Matches using Bayesian Network Modeling
Yang Ge
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2241-2250
Open Access
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