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:
How Does AI Play Football? An Analysis of RL and Real-world Football Strategies
Atom Scott, Keisuke Fujii, Masaki Onishi
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2022), pp. 42-52
Open Access | Times Cited: 11
Atom Scott, Keisuke Fujii, Masaki Onishi
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2022), pp. 42-52
Open Access | Times Cited: 11
Showing 11 citing articles:
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, et al.
Communications in computer and information science (2023), pp. 53-73
Closed Access | Times Cited: 20
Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, et al.
Communications in computer and information science (2023), pp. 53-73
Closed Access | Times Cited: 20
A strategic framework for optimal decisions in football 1-vs-1 shot-taking situations: an integrated approach of machine learning, theory-based modeling, and game theory
Calvin Yeung, Keisuke Fujii
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 5989-6008
Open Access | Times Cited: 7
Calvin Yeung, Keisuke Fujii
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 5989-6008
Open Access | Times Cited: 7
SoccerTrack: A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos
Atom Scott, Ikuma Uchida, Masaki Onishi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 3568-3578
Closed Access | Times Cited: 25
Atom Scott, Ikuma Uchida, Masaki Onishi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 3568-3578
Closed Access | Times Cited: 25
Potential Play Evaluation with Learning-Based Agent Modeling
Keisuke Fujii
SpringerBriefs in computer science (2025), pp. 85-100
Closed Access
Keisuke Fujii
SpringerBriefs in computer science (2025), pp. 85-100
Closed Access
Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, et al.
IEEE Access (2023) Vol. 11, pp. 131237-131244
Open Access | Times Cited: 10
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, et al.
IEEE Access (2023) Vol. 11, pp. 131237-131244
Open Access | Times Cited: 10
Raising student motivation and interest in football through rich media platforms: the experience of China
Cheng Zhang
Interactive Learning Environments (2022) Vol. 32, Iss. 2, pp. 572-584
Closed Access | Times Cited: 3
Cheng Zhang
Interactive Learning Environments (2022) Vol. 32, Iss. 2, pp. 572-584
Closed Access | Times Cited: 3
Megan - A Sports Chatbot using OpenAI APIs and Django Framework with Python
M. Yagnasri Priya, Samrudhi S. Kamble, Sanjivani P. Shendre, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
M. Yagnasri Priya, Samrudhi S. Kamble, Sanjivani P. Shendre, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Game-Changing Innovations: Exploring the Impact of Technology on Football
Dan Păun
EdTech Journal (2023) Vol. 3, Iss. 1, pp. 29-33
Open Access | Times Cited: 1
Dan Păun
EdTech Journal (2023) Vol. 3, Iss. 1, pp. 29-33
Open Access | Times Cited: 1
Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning
Shijie Wang, Yi Pan, Zhiqiang Pu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 8054-8061
Closed Access | Times Cited: 1
Shijie Wang, Yi Pan, Zhiqiang Pu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 8054-8061
Closed Access | Times Cited: 1
AI-Assisted Decision-Making and Risk Evaluation in Uncertain Environment Using Stochastic Inverse Reinforcement Learning: American Football as a Case Study
Risa Takayanagi, Keita Takahashi, Tomah Sogabe
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 2
Risa Takayanagi, Keita Takahashi, Tomah Sogabe
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 2
Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, et al.
arXiv (Cornell University) (2023)
Open Access
Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, et al.
arXiv (Cornell University) (2023)
Open Access
