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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:

Neuroevolution in Games: State of the Art and Open Challenges
Sebastian Risi, Julian Togelius
IEEE Transactions on Computational Intelligence and AI in Games (2015) Vol. 9, Iss. 1, pp. 25-41
Open Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

Deep Learning for Video Game Playing
Niels Justesen, Philip Bontrager, Julian Togelius, et al.
IEEE Transactions on Games (2019) Vol. 12, Iss. 1, pp. 1-20
Open Access | Times Cited: 218
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka, Kagan Tumer
arXiv (Cornell University) (2018)
Open Access | Times Cited: 96
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
Iria Santos, Luz Castro, Nereida Rodríguez-Fernández, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 1, pp. 121-157
Closed Access | Times Cited: 96
Evolutionary Reinforcement Learning: A Survey
Hui Bai, Ran Cheng, Yaochu Jin
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 34
Artificial Intelligence and Virtual Worlds – Toward Human-Level AI Agents
Vladimir M. Petrović
IEEE Access (2018) Vol. 6, pp. 39976-39988
Open Access | Times Cited: 68
Learning macromanagement in starcraft from replays using deep learning
Niels Justesen, Sebastian Risi
(2017), pp. 162-169
Open Access | Times Cited: 66
i-Game: Redefining Cultural Heritage Through Inclusive Game Design and Advanced Technologies
Makrina Viola Kosti, Sotiris Diplaris, Nefeli Georgakopoulou, et al.
Electronics (2025) Vol. 14, Iss. 6, pp. 1141-1141
Open Access
A Systematic Literature Review of the Successors of “NeuroEvolution of Augmenting Topologies”
Evgenia Papavasileiou, Jan Cornelis, Bart Jansen
Evolutionary Computation (2020) Vol. 29, Iss. 1, pp. 1-73
Open Access | Times Cited: 47
Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications
Majdi I. Radaideh, Koroush Shirvan
Knowledge-Based Systems (2021) Vol. 217, pp. 106836-106836
Open Access | Times Cited: 39
Derivative-free reinforcement learning: a review
Hong Qian, Yu Yang
Frontiers of Computer Science (2021) Vol. 15, Iss. 6
Open Access | Times Cited: 38
Player-AI Interaction: What Neural Network Games Reveal About AI as Play
Jichen Zhu, Jennifer Villareale, Nithesh Javvaji, et al.
(2021), pp. 1-17
Open Access | Times Cited: 37
Learning neural network structures with ant colony algorithms
Khalid M. Salama, Ashraf M. Abdelbar
Swarm Intelligence (2015) Vol. 9, Iss. 4, pp. 229-265
Closed Access | Times Cited: 47
Autoencoder-augmented neuroevolution for visual doom playing
Samuel Alvernaz, Julian Togelius
(2017), pp. 1-8
Open Access | Times Cited: 47
Deep neuroevolution of recurrent and discrete world models
Sebastian Risi, Kenneth O. Stanley
Proceedings of the Genetic and Evolutionary Computation Conference (2019), pp. 456-462
Open Access | Times Cited: 41
Playing Atari with few neurons
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Autonomous Agents and Multi-Agent Systems (2021) Vol. 35, Iss. 2
Open Access | Times Cited: 31
Portfolio Online Evolution in StarCraft
Che Wang, Pan Chen, Yuanda Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (2021) Vol. 12, Iss. 1, pp. 114-120
Open Access | Times Cited: 27
Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning
Oladayo S. Ajani, Rammohan Mallipeddi
Knowledge-Based Systems (2022) Vol. 245, pp. 108624-108624
Closed Access | Times Cited: 20
Continual online evolutionary planning for in-game build order adaptation in StarCraft
Niels Justesen, Sebastian Risi
Proceedings of the Genetic and Evolutionary Computation Conference (2017)
Open Access | Times Cited: 32
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
Sebastian Risi, Mike Preuß
KI - Künstliche Intelligenz (2020) Vol. 34, Iss. 1, pp. 7-17
Open Access | Times Cited: 26
Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning
Diqi Chen, Yizhou Wang, Wen Gao
Applied Intelligence (2020) Vol. 50, Iss. 10, pp. 3301-3317
Closed Access | Times Cited: 24
A Survey of Planning and Learning in Games
Fernando Duarte, Nuno Lau, Artur Pereira, et al.
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4529-4529
Open Access | Times Cited: 24
Large-scale design optimisation of boiling water reactor bundles with neuroevolution
Majdi I. Radaideh, Benoit Forget, Koroush Shirvan
Annals of Nuclear Energy (2021) Vol. 160, pp. 108355-108355
Closed Access | Times Cited: 20
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Zhi Wang, Chunlin Chen, Daoyi Dong
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 9742-9756
Open Access | Times Cited: 14
Rising to the Challenge: An Emotion-Driven Approach Toward Adaptive Serious Games
Claudia Schrader, Julia Brich, Julian Frommel, et al.
Springer eBooks (2017), pp. 3-28
Closed Access | Times Cited: 25
DLNE: A hybridization of deep learning and neuroevolution for visual control
Andreas Precht Poulsen, Mark Thorhauge, Mikkel Hvilshj Funch, et al.
(2017), pp. 256-263
Open Access | Times Cited: 25
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