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:

The 2017 AIBIRDS Level Generation Competition
Matthew Stephenson, Jochen Renz, Xiaoyu Ge, et al.
IEEE Transactions on Games (2018) Vol. 11, Iss. 3, pp. 275-284
Closed Access | Times Cited: 23

Showing 23 citing articles:

AI and the Future of Skills, Volume 1

Educational research and innovation (2021)
Open Access | Times Cited: 95

AI meets Angry Birds
Jochen Renz, Xiaoyu Ge, Matthew Stephenson, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 7, pp. 328-328
Open Access | Times Cited: 51

The AI Settlement Generation Challenge in Minecraft
Christoph Salge, Michael Cerny Green, Rodrigo Canaan, et al.
KI - Künstliche Intelligenz (2020) Vol. 34, Iss. 1, pp. 19-31
Closed Access | Times Cited: 28

Phy-Q as a measure for physical reasoning intelligence
Cheng Xue, Vimukthini Pinto, Chathura Gamage, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 1, pp. 83-93
Open Access | Times Cited: 7

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
Christoph Salge, Claus Aranha, Adrian Brightmoore, et al.
(2022)
Open Access | Times Cited: 8

Level generation for angry birds with sequential VAE and latent variable evolution
Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 9

Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
Frederic Abraham, Matthew Stephenson
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 2-12
Open Access | Times Cited: 3

An Angry Birds Level Generator with Rube Goldberg Machine Mechanisms
Febri Abdullah, Pujana Paliyawan, Ruck Thawonmas, et al.
2021 IEEE Conference on Games (CoG) (2019)
Closed Access | Times Cited: 8

Generative Design in Minecraft: Chronicle Challenge
Christoph Salge, Christian Guckelsberger, Michael Cerny Green, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 7

Deceptive Level Generation for Angry Birds
Chathura Gamage, Vimukthini Pinto, Jochen Renz, et al.
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 6

Generating Angry Birds-Like Levels With Domino Effects Using Constrained Novelty Search
Febri Abdullah, Pujana Paliyawan, Ruck Thawonmas, et al.
2021 IEEE Conference on Games (CoG) (2020), pp. 698-701
Closed Access | Times Cited: 5

RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation
Azimkhon Ostonov, Peter Wonka, Dominik L. Michels
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 2723-2732
Open Access | Times Cited: 3

Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented Learning
Kazuteru Miyazaki
Journal of Robotics and Mechatronics (2024) Vol. 36, Iss. 3, pp. 580-588
Open Access

Procedural Generation of Levels for the Angry Birds Videogame Using Evolutionary Computation
Jaime Salinas-Hernández, Mario García-Valdéz
Studies in computational intelligence (2020), pp. 581-592
Closed Access

Résumé

Educational research and innovation (2022)
Open Access

Zusammenfassung

Educational research and innovation (2022)
Open Access

The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds.
Vimukthini Pinto, Cheng Xue, Chathura Gamage, et al.
(2021)
Closed Access

Deceptive Level Generation for Angry Birds.
Chathura Gamage, Matthew Stephenson, Vimukthini Pinto, et al.
(2021)
Closed Access

Common sense skills: Artificial intelligence and the workplace
Lucy G. Cheke, Marta Halina, Matthew Crosby
Educational research and innovation (2021)
Open Access

Assessing Natural Language Processing
Yvette Graham
Educational research and innovation (2021)
Open Access

New approaches to understanding the impact of computers on work and education
Nóra Révai, Mila Staneva, Abel Baret
Educational research and innovation (2021)
Open Access

The AI Settlement Generation Challenge in Minecraft: First Year Report
Christoph Salge, Michael Cerny Green, Rodrigo Canaan, et al.
arXiv (Cornell University) (2021)
Closed Access

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