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:

Generating Diverse and Competitive Play-Styles for Strategy Games
Diego Peŕez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, et al.
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 11

Showing 11 citing articles:

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

Generative Personas That Behave and Experience Like Humans
Matthew Barthet, Ahmed Khalifa, Antonios Liapis, et al.
(2022) Vol. 34, pp. 1-10
Open Access | Times Cited: 14

State and Action Abstraction for Search and Reinforcement Learning Algorithms
Alexander Dockhorn, Rudolf Kruse
Studies in computational intelligence (2023), pp. 181-198
Closed Access | Times Cited: 5

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

Increasing Features in MAP-Elites Using an Age-Layered Population Structure
Andrew Pozzuoli, Brian J. Ross
2022 IEEE Congress on Evolutionary Computation (CEC) (2023), pp. 1-8
Closed Access | Times Cited: 3

Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, et al.
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Closed Access | Times Cited: 7

Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing
Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen, et al.
2021 IEEE Conference on Games (CoG) (2022), pp. 369-376
Open Access | Times Cited: 5

Beyond Playing to Win: Creating a Team of Agents With Distinct Behaviors for Automated Gameplay
Cristina Guerrero-Romero, Simon M. Lucas, Diego Peŕez-Liebana
IEEE Transactions on Games (2023) Vol. 15, Iss. 3, pp. 469-482
Closed Access | Times Cited: 2

Elastic Monte Carlo Tree Search
Linjie Xu, Alexander Dockhorn, Diego Peŕez-Liebana
IEEE Transactions on Games (2023) Vol. 15, Iss. 4, pp. 527-537
Open Access | Times Cited: 1

Adapting Procedural Content Generation to Player Personas Through Evolution
Pedro M. Fernandes, J D Jorgensen, Niels N. T. G. Poldervaart
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 01-09
Open Access | Times Cited: 2

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