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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.

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Showing 18 citing articles:

Procedural game level generation with GANs: potential, weaknesses, and unresolved challenges in the literature
Daniele Fernandes E. Silva, Rafael Torchelsen, Marílton Sanchotene de Aguiar
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 1
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
Maxime Allard, Simón C. Smith, Konstantinos Chatzilygeroudis, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 2, pp. 1-23
Open Access | Times Cited: 10
Prompt-Guided Level Generation
Shyam Sudhakaran, Miguel González-Duque, Claire Glanois, et al.
(2023)
Closed Access | Times Cited: 6
The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings
Timothy Merino, Roman Negri, Dipika Rajesh, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 107-115
Open Access | Times Cited: 5
Dungeon and Platformer Level Blending and Generation using Conditional VAEs
Anurag Sarkar, Seth Cooper
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 12
Lode Encoder: AI-constrained co-creativity
Debosmita Bhaumik, Ahmed Khalifa, Julian Togelius
2021 IEEE Conference on Games (CoG) (2021), pp. 01-08
Open Access | Times Cited: 12
Hierarchical quality-diversity for online damage recovery
Maxime Allard, Simón C. Smith, Konstantinos Chatzilygeroudis, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 58-67
Open Access | Times Cited: 8
The Right Variety: Improving Expressive Range Analysis with Metric Selection Methods
Oliver Withington, Laurissa Tokarchuk
(2023)
Open Access | Times Cited: 3
Joint Level Generation and Translation Using Gameplay Videos
Negar Mirgati, Matthew Guzdial
2021 IEEE Conference on Games (CoG) (2023), pp. 1-10
Open Access | Times Cited: 2
Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry
Miguel González-Duque, Rasmus Palm, Søren Hauberg, et al.
2021 IEEE Conference on Games (CoG) (2022), pp. 385-392
Open Access | Times Cited: 3
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search
Jinyue Guo, Anna-Maria Christodoulou, Balint Laczko, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 667-670
Open Access
Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments
Shihan Zhao, Bryon Tjanaka, Matthew C. Fontaine, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-53
Open Access
On the Evaluation of Procedural Level Generation Systems
Oliver Withington, Michael Cook, Laurissa Tokarchuk
(2024), pp. 1-10
Open Access
Ensemble Learning For Mega Man Level Generation
Bowei Li, Ruohan Chen, Yuqing Xue, et al.
(2021), pp. 1-9
Open Access | Times Cited: 3
Compressing and Comparing the Generative Spaces of Procedural Content Generators
Oliver Withington, Laurissa Tokarchuk
2021 IEEE Conference on Games (CoG) (2022), pp. 143-150
Open Access | Times Cited: 2
A Case Study of Quality-Diversity Search in Human Computation
Seth Cooper
Human Computation (2022) Vol. 9, Iss. 1, pp. 58-65
Open Access | Times Cited: 1
E X P LORING GAME DE S IGN THROUGH HUMAN-AI COL LABORAT ION
Alberto Alvarez
(2022)
Open Access | Times Cited: 1
Reconstructing Existing Levels through Level Inpainting
Johor Jara Gonzalez, Matthew Guzdial
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2023) Vol. 19, Iss. 1, pp. 276-283
Open Access
Learning latent representations for controllable combinational creativity and game design
Anurag Sarkar
(2023)
Open Access
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